S. M. Agayan

894 total citations
52 papers, 675 citations indexed

About

S. M. Agayan is a scholar working on Artificial Intelligence, Geophysics and Applied Mathematics. According to data from OpenAlex, S. M. Agayan has authored 52 papers receiving a total of 675 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 24 papers in Geophysics and 8 papers in Applied Mathematics. Recurrent topics in S. M. Agayan's work include Earthquake Detection and Analysis (22 papers), Seismology and Earthquake Studies (12 papers) and Geochemistry and Geologic Mapping (9 papers). S. M. Agayan is often cited by papers focused on Earthquake Detection and Analysis (22 papers), Seismology and Earthquake Studies (12 papers) and Geochemistry and Geologic Mapping (9 papers). S. M. Agayan collaborates with scholars based in Russia, France and United States. S. M. Agayan's co-authors include А. Д. Гвишиани, Ш. Р. Богоутдинов, Anatoly Soloviev, Б. А. Дзебоев, Roman Krasnoperov, J. Zlotnicki, В. О. Михайлов, Arnaud Chulliat, P. Sailhac and A. Galdéano and has published in prestigious journals such as Earth and Planetary Science Letters, Geophysics and Applied Sciences.

In The Last Decade

S. M. Agayan

49 papers receiving 612 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
S. M. Agayan Russia 16 440 270 149 74 67 52 675
Ш. Р. Богоутдинов Russia 13 204 0.5× 136 0.5× 113 0.8× 26 0.4× 56 0.8× 39 340
Simona Petrosino Italy 19 902 2.0× 379 1.4× 40 0.3× 20 0.3× 18 0.3× 67 1.0k
Roman Krasnoperov Russia 10 147 0.3× 82 0.3× 109 0.7× 32 0.4× 47 0.7× 49 285
Essam Ghamry Egypt 13 293 0.7× 94 0.3× 113 0.8× 18 0.2× 221 3.3× 49 428
Qiaoli Kong China 14 157 0.4× 38 0.1× 41 0.3× 21 0.3× 144 2.1× 37 487
Gianfranco Cianchini Italy 16 836 1.9× 378 1.4× 74 0.5× 18 0.2× 95 1.4× 45 930
Antônio L. Padilha Brazil 17 702 1.6× 188 0.7× 152 1.0× 6 0.1× 229 3.4× 81 876
А. А. Спивак Russia 13 352 0.8× 73 0.3× 59 0.4× 80 1.1× 67 1.0× 112 508
Jeferson de Souza Brazil 12 305 0.7× 79 0.3× 54 0.4× 19 0.3× 6 0.1× 28 534
Anindya Roy India 15 425 1.0× 373 1.4× 40 0.3× 14 0.2× 6 0.1× 45 866

Countries citing papers authored by S. M. Agayan

Since Specialization
Citations

This map shows the geographic impact of S. M. Agayan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by S. M. Agayan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. M. Agayan more than expected).

Fields of papers citing papers by S. M. Agayan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. M. Agayan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by S. M. Agayan. The network helps show where S. M. Agayan may publish in the future.

Co-authorship network of co-authors of S. M. Agayan

This figure shows the co-authorship network connecting the top 25 collaborators of S. M. Agayan. A scholar is included among the top collaborators of S. M. Agayan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with S. M. Agayan. S. M. Agayan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Agayan, S. M., et al.. (2025). Fuzzy Mathematics Methods for Comprehensive Analysis of Geophysical Data. Izvestiya Physics of the Solid Earth. 61(5). 731–750.
2.
Agayan, S. M., et al.. (2024). Solving Inverse Magnetometry Problems Using Fuzzy Logic. Rossijskij žurnal nauk o zemle/Russian journal of earth sciences. 1–23.
3.
Agayan, S. M., et al.. (2024). Trends and Extremes in Time Series Based on Fuzzy Logic. Mathematics. 12(2). 284–284. 2 indexed citations
4.
Agayan, S. M., et al.. (2023). Time Series Analysis by Fuzzy Logic Methods. Algorithms. 16(5). 238–238. 5 indexed citations
5.
Agayan, S. M., et al.. (2023). Regression Derivatives and Their Application in the Study of Magnetic Storms. Rossijskij žurnal nauk o zemle/Russian journal of earth sciences. 1–22. 2 indexed citations
6.
Agayan, S. M., et al.. (2022). DPS Clustering: New Results. Applied Sciences. 12(18). 9335–9335. 5 indexed citations
7.
Гвишиани, А. Д., et al.. (2021). Fuzzy Sets of High Seismicity Intersections of Morphostructural Lineaments in the Caucasus and in the Altai–Sayan–Baikal Region. Journal of Volcanology and Seismology. 15(2). 73–79. 3 indexed citations
8.
Agayan, S. M., et al.. (2021). Regression differentiation and regression integration of finite series. Чебышевский сборник. 22(2). 27–47.
9.
Agayan, S. M., et al.. (2020). {\bfseries \itshape FDPS} algorithm in stability assessment of the Earth's crust structural tectonic blocks. Rossijskij žurnal nauk o zemle/Russian journal of earth sciences. 20(6). 1–14. 12 indexed citations
10.
Agayan, S. M., et al.. (2019). Regression Derivatives and Their Application to the Study of Geomagnetic Jerks. Geomagnetism and Aeronomy. 59(3). 359–367. 10 indexed citations
11.
Богоутдинов, Ш. Р., Nadezda Yagova, В. А. Пилипенко, & S. M. Agayan. (2018). A technique for detection of ULF Pc3 waves and their statistical analysis. Rossijskij žurnal nauk o zemle/Russian journal of earth sciences. 18(6). 1–13. 4 indexed citations
12.
Гвишиани, А. Д., et al.. (2017). Recognition of strong earthquake–prone areas with a single learning class. Doklady Earth Sciences. 474(1). 546–551. 13 indexed citations
13.
Гвишиани, А. Д., Б. А. Дзебоев, & S. M. Agayan. (2016). FCaZm intelligent recognition system for locating areas prone to strong earthquakes in the Andean and Caucasian mountain belts. Izvestiya Physics of the Solid Earth. 52(4). 461–491. 32 indexed citations
14.
Гвишиани, А. Д., Б. А. Дзебоев, & S. M. Agayan. (2013). A new approach to recognition of the strong earthquake-prone areas in the Caucasus. Izvestiya Physics of the Solid Earth. 49(6). 747–766. 29 indexed citations
15.
Гвишиани, А. Д., et al.. (2013). FUZZY-BASED CLUSTERING OF EPICENTERS AND STRONG EARTHQUAKE-PRONE AREAS. Environmental Engineering and Management Journal. 12(1). 1–10. 31 indexed citations
16.
Agayan, S. M., et al.. (2010). Smoothing of time series by the methods of Discrete Mathematical Analysis. Rossijskij žurnal nauk o zemle/Russian journal of earth sciences. 11(4). 1–5. 5 indexed citations
17.
Богоутдинов, Ш. Р., S. M. Agayan, А. Д. Гвишиани, et al.. (2007). Fuzzy logic algorithms in the analysis of electrotelluric data with reference to monitoring of volcanic activity. Izvestiya Physics of the Solid Earth. 43(7). 597–609. 12 indexed citations
18.
19.
Михайлов, В. О., A. Galdéano, M. Diament, et al.. (2003). Application of artificial intelligence for Euler solutions clustering. Geophysics. 68(1). 168–180. 67 indexed citations
20.
Гвишиани, А. Д., et al.. (2003). Mathematical Methods of Geoinformatics. II. Fuzzy-Logic Algorithms in the Problems of Abnormality Separation in Time Series. Cybernetics and Systems Analysis. 39(4). 555–563. 14 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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