Md Sayeed Anwar

38 total papers · 461 total citations
22 papers, 327 citations indexed

About

Md Sayeed Anwar is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Condensed Matter Physics. According to data from OpenAlex, Md Sayeed Anwar has authored 22 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Networks and Communications, 14 papers in Statistical and Nonlinear Physics and 5 papers in Condensed Matter Physics. Recurrent topics in Md Sayeed Anwar's work include Nonlinear Dynamics and Pattern Formation (21 papers), stochastic dynamics and bifurcation (9 papers) and Neural Networks Stability and Synchronization (8 papers). Md Sayeed Anwar is often cited by papers focused on Nonlinear Dynamics and Pattern Formation (21 papers), stochastic dynamics and bifurcation (9 papers) and Neural Networks Stability and Synchronization (8 papers). Md Sayeed Anwar collaborates with scholars based in India, United States and Belgium. Md Sayeed Anwar's co-authors include Dibakar Ghosh, Gourab Kumar Sar, Matjaž Perc, Nikita Frolov, Timotéo Carletti, Alexander E. Hramov, Srilena Kundu, Kevin O’Keeffe, Sajad Jafari and Arnob Ray and has published in prestigious journals such as Chaos Solitons & Fractals, SIAM Journal on Applied Mathematics and Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences.

In The Last Decade

Md Sayeed Anwar

21 papers receiving 323 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Md Sayeed Anwar	266	193	91	33	27	22	327
Patrick N. McGraw	189 0.7×	162 0.8×	89 1.0×	33 1.0×	27 1.0×	15	354
Conrad J. Pérez	132 0.5×	152 0.8×	96 1.1×	61 1.8×	29 1.1×	11	325
Gourab Kumar Sar	217 0.8×	124 0.6×	26 0.3×	112 3.4×	22 0.8×	25	344
Antonio J. Pons	83 0.3×	68 0.4×	140 1.5×	19 0.6×	26 1.0×	24	300
Lasko Basnarkov	129 0.5×	121 0.6×	49 0.5×	14 0.4×	55 2.0×	29	356
Heidi M. Rockwood	215 0.8×	142 0.7×	67 0.7×	20 0.6×	35 1.3×	9	344
Joshua Hudson	188 0.7×	122 0.6×	23 0.3×	15 0.5×	21 0.8×	17	345
Stefano Boccaletti	198 0.7×	209 1.1×	57 0.6×	12 0.4×	36 1.3×	17	327
Jakub Sawicki	286 1.1×	187 1.0×	179 2.0×	8 0.2×	60 2.2×	15	349
Arnob Ray	191 0.7×	237 1.2×	87 1.0×	9 0.3×	12 0.4×	16	332

Countries citing papers authored by Md Sayeed Anwar

Since Specialization

Citations

This map shows the geographic impact of Md Sayeed Anwar'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 Md Sayeed Anwar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Md Sayeed Anwar more than expected).

Fields of papers citing papers by Md Sayeed Anwar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Md Sayeed Anwar. 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 Md Sayeed Anwar. The network helps show where Md Sayeed Anwar may publish in the future.

Co-authorship network of co-authors of Md Sayeed Anwar

This figure shows the co-authorship network connecting the top 25 collaborators of Md Sayeed Anwar. A scholar is included among the top collaborators of Md Sayeed Anwar 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 Md Sayeed Anwar. Md Sayeed Anwar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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