Jatindra Kumar Dash

57 total papers · 484 total citations
34 papers, 315 citations indexed

About

Jatindra Kumar Dash is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Jatindra Kumar Dash has authored 34 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 4 papers in Media Technology. Recurrent topics in Jatindra Kumar Dash's work include Image Retrieval and Classification Techniques (17 papers), Advanced Image and Video Retrieval Techniques (9 papers) and AI in cancer detection (6 papers). Jatindra Kumar Dash is often cited by papers focused on Image Retrieval and Classification Techniques (17 papers), Advanced Image and Video Retrieval Techniques (9 papers) and AI in cancer detection (6 papers). Jatindra Kumar Dash collaborates with scholars based in India, Saudi Arabia and Singapore. Jatindra Kumar Dash's co-authors include Sudipta Mukhopadhyay, Rahul Gupta, Diptendu Sinha Roy, K. Hemant Kumar Reddy, Ashish Kr. Luhach, Niranjan Khandelwal, Mandeep Garg, Sachi Nandan Mohanty, Sajal Biring and Chandreswar Mahata and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Pattern Recognition.

In The Last Decade

Jatindra Kumar Dash

30 papers receiving 302 citations

Author Peers

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

Author Last Decade Papers Cites
Jatindra Kumar Dash 159 57 51 38 37 34 315
Fengbin Zhang 68 0.4× 159 2.8× 17 0.3× 109 2.9× 9 0.2× 28 307
Fengjun Xiao 112 0.7× 73 1.3× 25 0.5× 45 1.2× 41 1.1× 30 342
Neeraj Mohan 112 0.7× 56 1.0× 59 1.2× 33 0.9× 37 1.0× 30 341
Tao Gong 32 0.2× 66 1.2× 8 0.2× 28 0.7× 13 0.4× 45 259
Qian Ma 62 0.4× 51 0.9× 25 0.5× 23 0.6× 43 1.2× 23 319
S. Yuvaraj 33 0.2× 44 0.8× 12 0.2× 57 1.5× 61 1.6× 46 350
Arun Kumar Rana 54 0.3× 67 1.2× 20 0.4× 142 3.7× 146 3.9× 40 351
R. J. Ramteke 105 0.7× 64 1.1× 54 1.1× 19 0.5× 18 0.5× 28 306
Irfan Syamsuddin 33 0.2× 39 0.7× 23 0.5× 45 1.2× 76 2.1× 42 252
Myroslav Komar 51 0.3× 131 2.3× 20 0.4× 103 2.7× 49 1.3× 39 323

Countries citing papers authored by Jatindra Kumar Dash

Since Specialization
Citations

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

Fields of papers citing papers by Jatindra Kumar Dash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jatindra Kumar Dash. 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 Jatindra Kumar Dash. The network helps show where Jatindra Kumar Dash may publish in the future.

Co-authorship network of co-authors of Jatindra Kumar Dash

This figure shows the co-authorship network connecting the top 25 collaborators of Jatindra Kumar Dash. A scholar is included among the top collaborators of Jatindra Kumar Dash 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 Jatindra Kumar Dash. Jatindra Kumar Dash 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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