Amitava Das

110 total papers · 2.2k total citations
66 papers, 1.1k citations indexed

About

Amitava Das is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Amitava Das has authored 66 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 7 papers in Statistical and Nonlinear Physics. Recurrent topics in Amitava Das's work include Natural Language Processing Techniques (34 papers), Topic Modeling (34 papers) and Advanced Text Analysis Techniques (15 papers). Amitava Das is often cited by papers focused on Natural Language Processing Techniques (34 papers), Topic Modeling (34 papers) and Advanced Text Analysis Techniques (15 papers). Amitava Das collaborates with scholars based in India, Norway and United States. Amitava Das's co-authors include Björn Gambäck, Sivaji Bandyopadhyay, Joachim Wagner, Jennifer Foster, Srinivas Pykl, Tanmoy Chakraborty, Asif Ekbal, P. Viswanath, Thamar Solorio and Chhavi Sharma and has published in prestigious journals such as Expert Systems with Applications, Neurocomputing and Applied Intelligence.

In The Last Decade

Amitava Das

63 papers receiving 996 citations

Author Peers

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

Author						Papers	Cites
Amitava Das	1.0k	142	83	73	66	66	1.1k
Lonneke van der Plas	992 1.0×	118 0.8×	41 0.5×	63 0.9×	44 0.7×	45	1.2k
Mohammad Salameh	1.0k 1.0×	119 0.8×	96 1.2×	154 2.1×	21 0.3×	34	1.2k
Cecilia Ovesdotter Alm	702 0.7×	122 0.9×	70 0.8×	217 3.0×	71 1.1×	89	1.2k
Martin Rajman	976 1.0×	257 1.8×	63 0.8×	73 1.0×	53 0.8×	91	1.4k
Kalika Bali	923 0.9×	170 1.2×	32 0.4×	36 0.5×	113 1.7×	76	1.2k
Vinodkumar Prabhakaran	656 0.6×	117 0.8×	263 3.2×	61 0.8×	45 0.7×	55	1.1k
Thierry Declerck	1.0k 1.0×	144 1.0×	65 0.8×	38 0.5×	20 0.3×	119	1.3k
Joseph Mariani	746 0.7×	74 0.5×	32 0.4×	60 0.8×	48 0.7×	55	982
Manish Shrivastava	883 0.9×	192 1.4×	37 0.4×	58 0.8×	17 0.3×	123	1.1k
David Reitter	680 0.7×	43 0.3×	60 0.7×	105 1.4×	55 0.8×	78	1.2k

Countries citing papers authored by Amitava Das

Since Specialization

Citations

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

Fields of papers citing papers by Amitava Das

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amitava Das

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