Dipankar Das

35 total papers · 1.3k total citations
16 papers, 607 citations indexed

About

Dipankar Das is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Ophthalmology. According to data from OpenAlex, Dipankar Das has authored 16 papers receiving a total of 607 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 6 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Ophthalmology. Recurrent topics in Dipankar Das's work include Retinal Imaging and Analysis (6 papers), Glaucoma and retinal disorders (5 papers) and Digital Imaging for Blood Diseases (4 papers). Dipankar Das is often cited by papers focused on Retinal Imaging and Analysis (6 papers), Glaucoma and retinal disorders (5 papers) and Digital Imaging for Blood Diseases (4 papers). Dipankar Das collaborates with scholars based in India, United States and United Kingdom. Dipankar Das's co-authors include Bharat Kaul, Ananda Samajdar, Tushar Krishna, Hyoukjun Kwon, Eric Qin, Sudarshan Srinivasan, Pradeep Dubey, Subramanya R. Dulloor, Nadathur Satish and Michael J. Anderson and has published in prestigious journals such as IEEE Transactions on Fuzzy Systems, IEEE Transactions on Instrumentation and Measurement and Image and Vision Computing.

In The Last Decade

Dipankar Das

14 papers receiving 588 citations

Hit Papers

SIGMA: A Sparse and Irreg... 2020 2026 2022 2024 2020 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Dipankar Das 344 222 217 173 168 16 607
Ammar Ahmad Awan 249 0.7× 284 1.3× 174 0.8× 220 1.3× 137 0.8× 31 617
Deepak Narayanan 271 0.8× 333 1.5× 131 0.6× 228 1.3× 122 0.7× 16 625
Sihuan Li 192 0.6× 311 1.4× 297 1.4× 340 2.0× 98 0.6× 19 653
Meghan Cowan 311 0.9× 249 1.1× 223 1.0× 132 0.8× 155 0.9× 6 564
Wencong Xiao 289 0.8× 255 1.1× 175 0.8× 311 1.8× 121 0.7× 24 676
Eunhyeok Park 481 1.4× 233 1.0× 104 0.5× 88 0.5× 203 1.2× 24 695
Abhimanu Kumar 219 0.6× 413 1.9× 72 0.3× 184 1.1× 62 0.4× 13 657
Mingyu Yan 318 0.9× 386 1.7× 105 0.5× 108 0.6× 181 1.1× 34 592
Gabriel Weisz 206 0.6× 154 0.7× 247 1.1× 184 1.1× 188 1.1× 11 501
Oliver Williams 206 0.6× 136 0.6× 68 0.3× 49 0.3× 55 0.3× 10 504

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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