Dibakar Saha

47 total papers · 500 total citations
29 papers, 298 citations indexed

About

Dibakar Saha is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Artificial Intelligence. According to data from OpenAlex, Dibakar Saha has authored 29 papers receiving a total of 298 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Networks and Communications, 6 papers in Statistical and Nonlinear Physics and 6 papers in Artificial Intelligence. Recurrent topics in Dibakar Saha's work include Control Systems and Identification (5 papers), Energy Efficient Wireless Sensor Networks (5 papers) and Nonlinear Dynamics and Pattern Formation (4 papers). Dibakar Saha is often cited by papers focused on Control Systems and Identification (5 papers), Energy Efficient Wireless Sensor Networks (5 papers) and Nonlinear Dynamics and Pattern Formation (4 papers). Dibakar Saha collaborates with scholars based in India, United States and Singapore. Dibakar Saha's co-authors include G.P. Rao, A. Basu, Virgı́lio Almeida, Daniel A. Menascé, Satish K. Tripathi, Nabanita Das, A. Roy Chowdhury, Papri Saha, Apurba Ray and Koushik Sinha and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Automatic Control and Automatica.

In The Last Decade

Dibakar Saha

28 papers receiving 279 citations

Author Peers

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

Author						Papers	Cites
Dibakar Saha	162	95	71	53	52	29	298
Sheng Li	212 1.3×	65 0.7×	60 0.8×	90 1.7×	59 1.1×	29	336
Christopher Zimmer	191 1.2×	98 1.0×	45 0.6×	54 1.0×	39 0.8×	26	285
Leocundo Aguilar	105 0.6×	21 0.2×	58 0.8×	94 1.8×	30 0.6×	24	332
Lei Zhang	223 1.4×	40 0.4×	52 0.7×	58 1.1×	60 1.2×	36	349
Vanessa López	73 0.5×	27 0.3×	137 1.9×	45 0.8×	64 1.2×	28	357
Germán Rodríguez	197 1.2×	97 1.0×	126 1.8×	67 1.3×	18 0.3×	27	300
Rolf Wanka	157 1.0×	40 0.4×	33 0.5×	15 0.3×	24 0.5×	33	358
Shivakumar Sastry	169 1.0×	40 0.4×	101 1.4×	50 0.9×	42 0.8×	55	359
Alan Soper	97 0.6×	29 0.3×	69 1.0×	23 0.4×	20 0.4×	33	233
Amr Alanwar	72 0.4×	42 0.4×	76 1.1×	24 0.5×	106 2.0×	35	309

Countries citing papers authored by Dibakar Saha

Since Specialization

Citations

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

Fields of papers citing papers by Dibakar Saha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dibakar Saha. 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 Dibakar Saha. The network helps show where Dibakar Saha may publish in the future.

Co-authorship network of co-authors of Dibakar Saha

This figure shows the co-authorship network connecting the top 25 collaborators of Dibakar Saha. A scholar is included among the top collaborators of Dibakar Saha 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 Dibakar Saha. Dibakar Saha 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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