Sourya Dipta Das

44 total papers · 506 total citations
8 papers, 114 citations indexed

About

Sourya Dipta Das is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Sourya Dipta Das has authored 8 papers receiving a total of 114 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Computer Networks and Communications. Recurrent topics in Sourya Dipta Das's work include Natural Language Processing Techniques (2 papers), Air Quality Monitoring and Forecasting (1 paper) and Speech Recognition and Synthesis (1 paper). Sourya Dipta Das is often cited by papers focused on Natural Language Processing Techniques (2 papers), Air Quality Monitoring and Forecasting (1 paper) and Speech Recognition and Synthesis (1 paper). Sourya Dipta Das collaborates with scholars based in India, Australia and United Arab Emirates. Sourya Dipta Das's co-authors include Saikat Dutta, Dipankar Das, Nisarg A. Shah, Dwarikanath Mahapatra, Jun Chu, Ya‐Ju Hsu, Po‐Hsiung Lin, Kuldeep Singh Yadav, Shangpeng Sun and J. B. Nee and has published in prestigious journals such as Neurocomputing, arXiv (Cornell University) and 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI).

In The Last Decade

Sourya Dipta Das

7 papers receiving 109 citations

Author Peers

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

Author						Papers	Cites
Sourya Dipta Das	56	42	37	32	30	8	114
Aki Niemi	14 0.3×	36 0.9×	29 0.8×	10 0.3×	26 0.9×	8	236
Yi Han	26 0.5×	12 0.3×	25 0.7×	6 0.2×	32 1.1×	7	88
Tajuddin Manhar Mohammed	182 3.3×	13 0.3×	19 0.5×	10 0.3×	63 2.1×	6	229
Michele Trevisiol	153 2.7×	17 0.4×	55 1.5×	16 0.5×	60 2.0×	9	228
Su Mon Kywe	11 0.2×	36 0.9×	73 2.0×	19 0.6×	14 0.5×	7	106
Yifan Jiao	104 1.9×	10 0.2×	4 0.1×	7 0.2×	46 1.5×	10	135
Henrik Abramowicz	24 0.4×	27 0.6×	30 0.8×	7 0.2×	15 0.5×	6	256
Naomi Saphra	48 0.9×	32 0.8×	39 1.1×	2 0.1×	72 2.4×	9	155
Shaheed Zulfiqar	76 1.4×	7 0.2×	8 0.2×	7 0.2×	18 0.6×	6	115
Oliver Berthold	7 0.1×	41 1.0×	37 1.0×	22 0.7×	112 3.7×	7	145

Countries citing papers authored by Sourya Dipta Das

Since Specialization

Citations

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

Fields of papers citing papers by Sourya Dipta Das

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sourya Dipta Das

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