Dipankar Das

240 total papers · 3.3k total citations
124 papers, 1.1k citations indexed

About

Dipankar Das is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Dipankar Das has authored 124 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 99 papers in Artificial Intelligence, 14 papers in Computer Vision and Pattern Recognition and 12 papers in Molecular Biology. Recurrent topics in Dipankar Das's work include Topic Modeling (56 papers), Natural Language Processing Techniques (44 papers) and Sentiment Analysis and Opinion Mining (37 papers). Dipankar Das is often cited by papers focused on Topic Modeling (56 papers), Natural Language Processing Techniques (44 papers) and Sentiment Analysis and Opinion Mining (37 papers). Dipankar Das collaborates with scholars based in India, United States and Bangladesh. Dipankar Das's co-authors include Sivaji Bandyopadhyay, Alexander Gelbukh, Braja Gopal Patra, Soujanya Poria, Amir Hussain, Newton Howard, Bharat Kaul, Ashish Ranjan, Anand Raghunathan and Sasikanth Avancha and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, IEEE Intelligent Systems and Arabian Journal for Science and Engineering.

In The Last Decade

Dipankar Das

117 papers receiving 989 citations

Author Peers

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

Author						Papers	Cites
Dipankar Das	804	192	147	145	78	124	1.1k
Ian Parberry	443 0.6×	257 1.3×	80 0.5×	124 0.9×	46 0.6×	82	1.3k
Hussein Zedan	304 0.4×	188 1.0×	338 2.3×	77 0.5×	73 0.9×	66	1.0k
Pavel Smrž	705 0.9×	194 1.0×	94 0.6×	28 0.2×	22 0.3×	109	1.3k
Jin Tian	505 0.6×	98 0.5×	70 0.5×	55 0.4×	58 0.7×	98	1.0k
Dan Ventura	691 0.9×	284 1.5×	42 0.3×	151 1.0×	12 0.2×	130	1.2k
Shuhui Chen	434 0.5×	74 0.4×	103 0.7×	90 0.6×	120 1.5×	131	1.1k
Wei Niu	312 0.4×	533 2.8×	119 0.8×	164 1.1×	63 0.8×	100	1.0k
Xin Xin	583 0.7×	168 0.9×	614 4.2×	109 0.8×	48 0.6×	82	994
Jun Gao	728 0.9×	346 1.8×	217 1.5×	141 1.0×	14 0.2×	144	1.4k
Simon Thompson	573 0.7×	110 0.6×	381 2.6×	28 0.2×	166 2.1×	116	1.3k

Countries citing papers authored by Dipankar Das

Since Specialization

Citations

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

Fields of papers citing papers by Dipankar Das

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dipankar Das

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