Ramiz Alıquliyev-İNFORMASİYA TEXNOLOGİYALARI İNSTİTUTU

Ramiz Alıquliyev

Ramiz Məhəmməd oğlu Alıquliyev 1961-ci ildə anadan olmuşdur.

Təhsili:

1983-cü ildə S.M.Kirov adına Azərbaycan Dövlət Universitetinin (indiki Bakı Dövlət Universiteti) tətbiqi riyaziyyat fakültəsini bitirmişdir.

Əmək fəaliyyəti:

1983-1987-ci illərdə Azərbaycan Elmlər Akademiyasının (AEA) Kibernetika (indiki İdarəetmə Sistemləri) İnstitutunda mühəndis, 3-cü dərəcə mühəndis-konstruktor vəzifələrində işləmişdir.

1988-2002-ci illərdə AEA Riyaziyyat və Mexanika İnstitutunda aparıcı konstruktor, aparıcı mühəndis, elmi işçi vəzifələrində işləmişdir.

2003-cü ildən Azərbaycan Milli Elmlər Akademiyası (AMEA) İnformasiya Texnologiyaları İnstitutunda şöbə müdiri işləyir.

2023-cü ildən Azərbaycan Texniki Universitetinin Data Elmi və Süni İntellekt İnstitutunun direktorudur.

Tədqiqat sahələri:

Verilənlərin intellektual analizi (Data Mining)
Böyük verilənlərin analitikası (Big Data Analytics)
Mətnlərin intellektual analizi (Text Mining)
Süni intellekt (Artificial Intelligence)
Təbii dilin emalı (Natural Language Processing)
Elektron dövlətin analizi (E-government Analysis)
Elmmetriya (Scientometrics)
Təkamül və sürü intellekti alqoritmləri (Evolutionary and Swarm Intelligence Algorithms)

Elmi fəaliyyəti:

2000-2002-ci illərdə AMEA Riyaziyyat və Mexanika İnstitutunda dissertanturada təhsil almışdır.
2002-ci ildə AMEA Riyaziyyat və Mexanika İnstitutunun nəzdindəki dissertasiya şurasında “01.01.02 (1211.01) – Diferensial tənliklər” ixtisası üzrə fizika-riyaziyyat elmləri namizədi (fəlsəfə doktoru) alimlik dərəcəsi almaq üçün “Cırlaşan ikinci tərtib elliptik tənliklərin həllərinin keyfiyyət xassələrinin tədqiqi” mövzusunda dissertasiya müdafiə etmişdir.
2004-2009-cu illərdə AMEA İnformasiya Texnologiyaları İnstitutunda elmlər doktoru hazırlığı üzrə dissertanturada təhsil almışdır.
2010-cu ildə AMEA Kibernetika (indiki İdarəetmə Sistemləri) İnstitutunun nəzdindəki dissertasiya şurasında “05.13.01 (3338.01) – Sistemli analiz, idarəetmə və informasiyanın işlənməsi” ixtisası üzrə texnika elmləri doktoru alimlik dərəcəsi almaq üçün “Mətn tipli informasiyanın intellektual analizi üçün metodlar və alqoritmlər” mövzusunda dissertasiya müdafiə etmişdir.
2017-ci ildə “İnformatika” ixtisası üzrə AMEA-nın müxbir üzvü seçilmişdir.
2019-cu ildə birgə tədqiqatlar aparmaq üçün Avstraliya Federasiya Universitetinə dəvət olunmuşdur.
Rəhbərliyi altında 4 fəlsəfə doktoru və 13 magistr hazırlanmışdır. Hazırda fəlsəfə doktoru hazırlığı üzrə 10 doktorant və dissertantın elmi rəhbəridir.

Elmi-ekspertiza fəaliyyəti:

Jurnalların redaksiya heyətində üzvlük:

- CAAI Transactions on Intelligence Technology

- TWMS Journal of Pure and Applied Mathematics

- International Journal of Decision Support System Technology

- Problems of Information Technology

- Problems of Information Society

- Informatics and Control Problems

- International Journal of Sensors, Wireless Communications and Control

- Turkish Journal of Mathematics & Computer Science

- Communications

- Artificial Intelligence Evolution

- Ukrainian Journal of Information Systems and Data Science

Web of Science və Scopusbazalarında indeksləşən 30-dan çox jurnalın rəyçisidir.
Beynəlxalq və respublika səviyyəli konfransların proqram, təşkilat və texniki komitələrinin üzvü olmuşdur.
Bakı Dövlət Universitetinin tətbiqi riyaziyyat və kibernetika fakültəsində Dövlət İmtahan Komissiyasının sədri olmuşdur (2020-2021).
İnformasiya Texnologiyaları İnstitutunun nəzdində fəaliyyət göstərən dissertasiya şurasının üzvüdür.

Elmi əsərləri və istinadları:

Google Scholar:

https://scholar.google.com/citations?hl=en&user=cV0HqdgAAAAJ&view_op=list_works&sortby=pubdate

Scopus:

https://www.scopus.com/authid/detail.uri?authorId=35561067300

ORCID:

https://orcid.org/0000-0001-9795-1694

Web of Science (ResearcherID:A-1072-2013):

https://www.webofscience.com/wos/author/record/1189983

ResearchGate:

https://www.researchgate.net/profile/Ramiz-Aliguliyev

Beynəlxalq tanınma və mükafatları:

2020-2025-ci illərdə Stenford Universiteti tərəfindən hazırlanmış süni intellekt sahəsində dünyanın ən nüfuzlu 2% alimlərinin reytinq siyahısına seçilib.
2019-cu ildə birgə tədqiqatlar aparmaq üçün Avstraliya Federasiya Universitetinə dəvət olunmuşdur.
2014-cü ildə Azərbaycan Respublikasının Prezidentinin sərəncamı ilə “Tərəqqi” medalı ilə təltif olunmuşdur.
2013-cü ildə məqaləsi Azərbaycan Respublikasının Prezidenti yanında Elmin İnkişafı Fondunun Rabitə və İnformasiya Texnologiyaları Nazirliyi ilə birgə keçirdiyi “3-cü birgə İKT üzrə mükafat müsabiqəsi”ndə ən yaxşı elmi işlərə görə 1-ci yerə layiq görülüb.

Seçilmiş əsərləri:

Alguliyev, R.Aliguliyev, A.Bagirov & M.Aliyev, “Ibk-means: An iterative batch k-means algorithm for big data clustering”, Kybernetika, vol.61, no.4, pp.492-508, 2025. https://doi.org/10.14736/kyb-2025-4-0492 (WoS; Scopus)
Alguliyev, R.Aliguliyev, & L.Sukhostat, “Human gender classification and age estimation based on gait images using deep learning”, Multimedia Tools and Applications, pp.1-15, 2025. https://doi.org/10.1007/s11042-025-21075-8 (Scopus)
Alguliyev, R.Aliguliyev, & L.Sukhostat, “An approach for assessing the functional vulnerabilities criticality of CPS components”, Cyber Security and Applications, vol.3, 100058, 2025. https://doi.org/10.1016/j.csa.2024.100058 (Scopus)
Alguliyev, R.Aliguliyev, & N.Adigozalova, “MCDM approach for performance evaluation of the research institutions”, Problems of Information Technology, vol.16, no,2, pp.23-44, 2025. http://doi.org/10.25045/jpit.v16.i2.03
Aliguliyev & T.Badalov, “Exploring big data clustering: approaches, algorithms, and platforms”, Reliability: Theory & Applications, vol.20, no.SI 7(83), pp.177-187, 2025. https://doi.org/10.24412/1932-2321-2025-783-177-187 (Scopus)
Aliguliyev & S.Tahirzada, “Performance comparison of k-means, parallel k-means and k-means++”, Reliability: Theory & Applications, vol.20, no.SI 7(83), pp.169-176, 2025. https://doi.org/10.24412/1932-2321-2025-783-169-176 (Scopus)
Alguliyev, R.Aliguliyev, & F. Yusifov, “Conceptual model of Azerbaijani language ecosystem in the electronic government”, Comparative Cultural Studies: European and Latin American Perspectives, no.20, pp.1-24, 2025. https://doi.org/10.46661/ccselap-11174
Alguliyev, R.Aliguliyev, & L.Sukhostat, “Method for quantitative risk assessment of cyber-physical systems based on vulnerability analysis”, Kybernetika, vol.60, no.6, pp.779-796, 2024. https://doi.org/10.14736/kyb-2024-6-0779 (WoS; Scopus)
Alguliyev, R.Aliguliyev, & L.Sukhostat, “An approach for business email compromise detection using NLP and deep learning”, 2024 IEEE 18th International Conference on Application of Information and Communication Technologies, pp.1-4, Turin, Italy, 25-27 September 2024. https://doi.org/10.1109/AICT61888.2024.10740431 (WoS; Scopus)
Alguliyev, R.Aliguliyev, & L.Sukhostat, “Radon transform based malware classification in cyber-physical system using deep learning”, Results in Control and Optimization, vol.14, 100382, 2024. https://doi.org/10.1016/j.rico.2024.100382 (WoS; Scopus)
Alguliyev, R.Aliguliyev, Y.Imamverdiyev, & L.Sukhostat, “Analysis of the demographic situation in the Republic of Azerbaijan: challenges and opportunities for the country”, Electronic Government, an International Journal, vol.202, no.22, pp.202-222, 2024. https://doi.org/10.1504/EG.2024.136982 (WoS; Scopus)
Bagirov, R.Aliguliyev, & N.Sultanova, “Finding compact and well-separated clusters: Clustering using silhouette coefficients”, Pattern Recognition, vol.135, 109144, 2023. https://doi.org/10.1016/j.patcog.2022.109144 (WoS; Scopus)
Alguliyev, R.Aliguliyev, & R.Alakbarov, “Constrained k-means algorithm for resource allocation in mobile cloudlets”, Kybernetika, vol.59, no.1, pp.88-109, 2023. https://doi.org/10.1016/10.14736/kyb-2023-1-0088 (WoS; Scopus)
Alguliyev, R.Aliguliyev, Y.Imamverdiyev, & L.Sukhostat, “History matching of petroleum reservoirs using deep neural networks”, Intelligent Systems with Applications, vol.16, 200128, 2022. https://doi.org/10.1016/j.iswa.2022.200128 (WoS; Scopus)
Aliguliyev & N.Adigozalova, “h-type indices for multiple authorship papers based on “relative first author” principle”, COLLNET Journal of Scientometrics and Information Management, vol.16, no.2, pp.305-330, 2022. https://doi.org/10.1080/09737766.2022.2098875 (WoS)
Alguliyev, R.Aliguliyev, & L.Sukhostat, “Parallel batch k-means for Big data clustering”, Computers & Industrial Engineering, vol.152, 107023, 2021. https://doi.org/10.1016/j.cie.2020.107023 (WoS; Scopus)
Alguliyev, Y.Imamverdiyev, R.Mahmudov, & R.Aliguliyev, “Information security as a national security component”, Information Security Journal, vol.30, no.1, pp.1-18, 2021. https://doi.org/10.1016/10.1080/19393555.2020.1795323 (WoS; Scopus)
Alguliyev, R.Aliguliyev, & F.Yusifov, “Graph modelling for tracking the COVID-19 pandemic spread”, Infectious Disease Modelling, vol.6, pp.112-122, 2021. https://doi.org/10.1016/j.idm.2020.12.002 (WoS; Scopus)
Alguliyev, R.Aliguliyev, & L.Sukhostat, “Weighted consensus clustering and its application to big data”, Expert Systems with Applications, vol.150, 113294, 2020. https://doi.org/10.1016/j.eswa.2020.113294 (WoS; Scopus)
Alguliyev, R.Aliguliyev, & L.Sukhostat, “Efficient algorithm for big data clustering on single machine”, CAAI Transactions on Intelligence Technology, vol.5, no.1, pp.9-14, 2020. https://doi.org/10.1049/trit.2019.0048 (WoS; Scopus)
Alguliyev, R.Aliguliyev, & F Yusifov, “Modified fuzzy TOPSIS+TFNs ranking model for candidate selection using the qualifying criteria”, Soft Computing, vol.24, no.1, pp.681-695, 2020. https://doi.org/10.1007/s00500-019-04521-2 (WoS; Scopus)
Alguliyev, R.Aliguliyev, & F.Abdullayeva, “Multidisciplinary study of the problems of big data technologies in the oil and gas industry”, International Journal of Oil Gas and Coal Technology, vol.23, no.1, pp.92-105, 2020. https://doi.org/10.1504/IJOGCT.2020.104975 (WoS; Scopus)
Aliguliyev, R.Alakbarov, & S.Tahirzada, “An architecture for big IoT data analytics in the oil and gas industry”, International Journal of Hyperconnectivity and the Internet of Things, vol.4, no.2, pp.25-37, 2020. https://doi.org/10.4018/IJHIOT.2020070102 (WoS)
Alguliyev, R.Aliguliyev, & F.Abdullayeva, “Privacy-preserving deep learning algorithm for big personal data analysis”, Journal of Industrial Information Integration, vol.15, pp.1-14, 2019. https://doi.org/10.1016/j.jii.2019.07.002 (WoS; Scopus)
Alguliyev, R.Aliguliyev, N.Isazade, A.Abdi, & N.Idris, “COSUM: text summarization based on clustering and optimization”, Expert Systems, vol.36, no.1, e12340, 2019. https://doi.org/10.1111/exsy.12340 (WoS; Scopus)
Alguliyev, R.Aliguliyev, & G.Niftaliyeva, “A method for social network extraction from e-government”, International Journal of Information Systems in the Service Sector, vol.11, no.3, pp.37-55, 2019. https://doi.org/10.4018/IJISSS.2019070103 (WoS; Scopus)
Alguliyev, R.Aliguliyev, & F.Abdullayeva, “The Improved LSTM and CNN models for DDoS attacks prediction in social media”, International Journal of Cyber Warfare and Terrorism, vol.9, no.1, pp.1-18, 2019. https://doi.org/10.4018/IJCWT.2019010101 (WoS; Scopus)
Alguliyev, R.Aliguliyev, & F.Yusifov, “MCDM for candidate selection in e-voting”, International Journal of Public Administration in the Digital Age, vol.6, no.2, pp.35-48, 2019. https://doi.org/10.4018/IJPADA.2019040103 (WoS; Scopus)
Aliguliyev & N.Adigozalova, “ht-index and At-index for evaluating scientific performance of researchers”, 2019 IEEE 13th International Conference on Application of Information and Communication Technologies, pp.1-4, Baku, Azerbaijan, 23-25 October 2019. https://doi.org/10.1109/AICT47866.2019.8981764 (WoS; Scopus)
Abdi, S.Shamsuddin, & R.Aliguliyev, “QMOS: query-based multi-documents opinion-oriented summarization”, Information Processing & Management, vol.54, no.2, pp.318-338, 2018. https://doi.org/10.1016/j.ipm.2017.12.002 (WoS; Scopus)
Alguliyev, R.Aliguliyev, & G.Niftaliyeva, “Filtration of terrorism-related texts in the e-government environment”, International Journal of Cyber Warfare and Terrorism, vol.8, no.4, pp.35-48, 2018. https://doi.org/10.4018/IJCWT.2018100103 (WoS; Scopus)
Alguliyev, R.Aliguliyev, & N.Adigozalova, “Journal Impact Factor weighted by SJR and 5-year IF indicators of citing sources”, Journal of Scientometric Research, vol.7, no.2, pp.94-106, 2018. https://doi.org/10.5530/jscires.7.2.15 (WoS; Scopus)
Abdi, N.Idris, R.Alguliev, & R.Aliguliyev, ”Bibliometric Analysis of IP&M Journal (1980-2015)”, Journal of Scientometric Research, vol.7, no.1, pp.54-62, 2018. https://doi.org/10.5530/jscires.7.1.8 (WoS; Scopus)
Muhamedyev, R.Aliguliyev, Z.Shokishalov, R.Mustakayev, “New bibliometric indicators for prospectivity estimation of research fields”, Annals of Library and Information Studies, vol.65, no.1, pp.62-69, 2018. https://doi.org/10.56042/alis.v65i1.18656 (WoS; Scopus)
Abdi, S.Shamsuddin, N.Idris, R.Alguliyev, & R.Aliguliyev, “A linguistic treatment for automatic external plagiarism detection”, Knowledge-Based Systems, vol.135, pp.135-146, 2017. https://doi.org/10.1016/j.knosys.2017.08.008 (WoS; Scopus)
Abdi, N.Idris, R.Alguliev, & R.Aliguliyev, “Query-based multi-documents summarization using linguistic knowledge and content word expansion”, Soft Computing, vol.21, pp.1785-1801, 2017. https://doi.org/10.1007/s00500-015-1881-4 (WoS; Scopus)
Alguliyev & R.Aliguliyev, “Modifications to the journal impact factor”, COLLNET Journal of Scientometrics and Information Management, vol.11, no.1, pp.25-43, 2017. https://doi.org/10.1080/09737766.2016.1235251 (WoS)
Abdi, N.Idris, R.Alguliev, & R.Aliguliyev, “An automated summarization assessment algorithm for identifying summarizing strategies”, PLoS ONE, vol.11, no.1, e0145809, 2016. https://doi.org/10.1371/journal.pone.0145809 (WoS; Scopus)
Abdi, N.Idris, R.Alguliev, & R.Aliguliyev, “PDLK: Plagiarism detection using linguistic knowledge”, Expert Systems with Applications, vol.42, no.22, pp.8936-8946, 2015. https://doi.org/10.1016/j.eswa.2015.07.048 (WoS; Scopus)
Abdi, N.Idris, R.Alguliev, & R.Aliguliyev, “Automatic summarization assessment through a combination of semantic and syntactic information for intelligent educational systems”, Information Processing & Management, vol.51, no.4, pp.340-358, 2015. https://doi.org/10.1016/j.ipm.2015.02.001 (WoS; Scopus)
Alguliyev, R.Aliguliyev, & N.Isazade, “An unsupervised approach to generating generic summaries of documents”, Applied Soft Computing, vol.34, pp.236-250, 2015. https://doi.org/10.1016/j.asoc.2015.04.050 (WoS; Scopus)
Alguliev, R.Aliguliyev, T.Fataliyev, & R.Hasanova, “Weighted consensus index for assessment of the scientific performance of researchers”, COLLNET Journal of Scientometrics and Information Management, vol.8, no.2, 2014. https://doi.org/10.1080/09737766.2014.954864 (WoS)
Alguliev, R.Aliguliyev, & N.Isazade, “Multiple documents summarization based on evolutionary optimization algorithm”, Expert Systems with Applications, vol.40, no.5, pp.1675-1689, 2013. https://doi.org/10.1016/j.eswa.2012.09.014 (WoS; Scopus)
Alguliev, R.Aliguliyev, & C.Mehdiyev, “An optimization approach to automatic generic document summarization”, Computational Intelligence, vol.29, no.1, pp.129-155, 2013. https://doi.org/10.1111/j.1467-8640.2012.00437.x (WoS; Scopus)
Alguliev, R.Aliguliyev, & N.Isazade, “MR&MR-Sum: maximum relevance and minimum redundancy document summarization model”, International Journal of Information Technology and Decision Making, vol.12, no.3, pp.361-393, 2013. https://doi.org/10.1142/S0219622013500156 (WoS; Scopus)
Alguliev, R.Aliguliyev, & N.Isazade, “CDDS: Constraint-driven document summarization models”, Expert Systems with Applications, vol.40, no.2, pp.458-465, 2013. https://doi.org/10.1016/j.eswa.2012.07.049 (WoS; Scopus)
Alguliev, R.Aliguliyev, & N.Isazade, “Formulation of document summarization as a 0-1 nonlinear programming problem”, Computers & Industrial Engineering, vol.64, no.1, pp.94-102, 2013. https://doi.org/10.1016/j.cie.2012.09.005 (WoS; Scopus)
Alguliev, R.Aliguliyev, & N.Isazade, “DESAMC+DocSum: differential evolution with self-adaptive mutation and crossover parameters for multi-document summarization”, Knowledge-Based Systems, vol.36, pp.21-38, 2012. https://doi.org/10.1016/j.knosys.2012.05.017 (WoS; Scopus)
Alguliev, R.Aliguliyev, & M.Hajirahimova, “GenDocSum+MCLR: Generic document summarization based on maximum coverage and less redundancy”, Expert Systems with Applications, vol.39, no.16, pp.12460-12473, 2012. https://doi.org/10.1016/j.eswa.2012.04.067 (WoS; Scopus)
Alguliev, R.Aliguliyev, M.Hajirahimova, & C.Mehdiyev, “MCMR: Maximum coverage and minimum redundant text summarization model”, Expert Systems with Applications, vol.38, no.12, pp. 14514-14522, 2011. https://doi.org/10.1016/j.eswa.2011.05.033 (WoS; Scopus)
Alguliev, R.Aliguliyev, & F.Ganjaliyev, “Investigation the role of similarity measure and ranking algorithm in mining social network”, Journal of Information Science, vol.37, no.3, pp. 229-234, 2011. https://doi.org/10.1177/01655515114009 (WoS; Scopus)
Alguliev, R.Aliguliyev, & C.Mehdiyev, “Sentence selection for generic document summarization using an adaptive differential evolution algorithm”, Swarm and Evolutionary Computation, vol.1, no.4, pp.213-222, 2011. https://doi.org/10.1016/j.swevo.2011.06.006 (WoS; Scopus)
Alguliev, R.Aliguliyev, & C.Mehdiyev, “pSum-SaDE: a modified p-median problem and self-adaptive differential evolution algorithm for text summarization”, Applied Computational Intelligence and Soft Computing, Article 351498, 2011. https://doi.org/10.1155/2011/351498 (WoS; Scopus)
Alguliev, R.Aliguliyev, & S.Nazirova, “Classification of textual e-mail spam using data mining techniques”, Applied Computational Intelligence and Soft Computing, Article 416308, 2011. https://doi.org/10.1155/2011/416308 (WoS; Scopus)
Aliguliyev, “Clustering techniques and discrete particle swarm optimization algorithm for multi-document summarization”, Computational Intelligence, vol.26, no.4, pp.420-448, 2010. https://doi.org/10.1111/j.1467-8640.2010.00365.x (WoS; Scopus)
Aliguliyev, “Clustering of document collection – a weighting approach”, Expert Systems with Applications, vol.36, no.4, pp.7904-7916, 2009. https://doi.org/10.1016/j.eswa.2008.11.017 (WoS; Scopus)
Aliguliyev, “Performance evaluation of density-based clustering methods”, Information Sciences, vol.179, no.20, pp.3583-3602, 2009. https://doi.org/10.1016/j.ins.2009.06.012 (WoS; Scopus)
Aliguliyev, “A new sentence similarity measure and sentence based extractive technique for automatic text summarization”, Expert Systems with Applications, vol.36, no.4, pp.7764-7772, 2009. https://doi.org/10.1016/j.eswa.2008.11.022 (WoS; Scopus)
Alguliev & R.Aliguliyev, “Evolutionary algorithm for extractive text summarization”, Intelligent Information Management, vol.1, no.2, pp.128-138, 2009. https://doi.org/10.4236/iim.2009.12019
Alguliyev & R.Aliguliyev, “Automatic text documents summarization through sentences clustering”, Journal of Automation and Information Sciences, vol.40, no.9, pp.53-63, 2008. https://doi.org/10.1615/JAutomatInfScien.v40.i9.50 (WoS; Scopus)
Alguliyev & R.Aliguliyev, “Experimental investigating the F-measure as similarity measure for automatic text summarization”, Applied and Computational Mathematics, vol.6, no.2, pp.278-287, 2007. http://www.acmij.az/view.php?lang=az&menu=journal&id=257 (WoS)
Aliguliyev, “A novel partitioning-based clustering method and generic document summarization”, 2006 IEEE/WIC/ACM international conference on Web Intelligence and Intelligent Agent Technology, pp.626-629, Hong Kong, China, 18-22 December 2006. https://doi.org/10.1109/WI-IATW.2006.16 (WoS; Scopus)
Alguliev & R.Aliguliyev, “Effective summarization method of text documents”, 2005 IEEE/WIC/ACM International Conference on Web Intelligence, pp.264-271, Compiegne, France, 2005. https://doi.org/10.1109/WI.2005.57 (WoS; Scopus)
Alguliev, R.Aliguliyev, & R.Alekperov, “An approach to optimal task assignment in a distributed system”, Journal of Automation and Information Sciences, vol.36, no.10, pp.51-55, 2004. https://doi.org/10.1615/JAutomatInfScien.v36.i10.60 (WoS; Scopus)
Aliguliyev, “On solvability of a first boundary value problem for nonuniformly degenerated second order elliptic equations of nondivergent structure”, Proceedings of IMM of NAS of Azerbaijan, vol.23, no.15, pp.9-21, 2001.
Aliguliyev, “Harnack inequality for nonuniform degenerated elliptic equations of second order”, Transactions of AS Azerbaijan, no.1, pp.13-18, 2001.
Aliguliyev, “A Phragmen-Lindelöf type theorem for a non-divergent structure linear elliptic equation of the second order”, Transaction of National Academy Sciences of Azerbaijan, no.4, pp.26-31, 2001.
Р.Алыгулиев, “Граничные свойства решений неравномерно вырождающихся эллиптических уравнений 2-го порядка недивергентной структуры”, Доклады НАН Азербайджана, no.4-6, pp.52-60, 2001.
Р.Алыгулиев, “О внутренней гладкости решений вырождающихся эллиптических уравнений 2-го порядка с разрывными коэффициентами”, Доклады АН Азербайджана, nos.4-6, pp.25-41, 2000.