Nitish Gupta

48 total papers · 426 total citations
18 papers, 199 citations indexed

About

Nitish Gupta is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Industrial and Manufacturing Engineering. According to data from OpenAlex, Nitish Gupta has authored 18 papers receiving a total of 199 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 3 papers in Industrial and Manufacturing Engineering. Recurrent topics in Nitish Gupta's work include Optimization and Packing Problems (3 papers), Natural Language Processing Techniques (3 papers) and Advanced Manufacturing and Logistics Optimization (3 papers). Nitish Gupta is often cited by papers focused on Optimization and Packing Problems (3 papers), Natural Language Processing Techniques (3 papers) and Advanced Manufacturing and Logistics Optimization (3 papers). Nitish Gupta collaborates with scholars based in India, Ethiopia and Malaysia. Nitish Gupta's co-authors include G. Arulkumaran, Elango Natarajan, Neha Gupta, Robert Phaal, Harold Robinson, S. G. Ponnambalam, Beena G. Singh, Sunita Sarawagi, Partha Talukdar and Shachi Dave and has published in prestigious journals such as IEEE Access, Technological Forecasting and Social Change and International Journal of Production Research.

In The Last Decade

Nitish Gupta

16 papers receiving 188 citations

Author Peers

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

Author Last Decade Papers Cites
Nitish Gupta 69 50 27 26 23 18 199
Jiaming Li 35 0.5× 75 1.5× 19 0.7× 4 0.2× 18 0.8× 18 265
Lingling Lv 61 0.9× 95 1.9× 68 2.5× 48 1.8× 15 0.7× 23 256
Rajnish Rakholia 58 0.8× 52 1.0× 26 1.0× 11 0.4× 18 0.8× 21 188
Syam M.S. 34 0.5× 12 0.2× 24 0.9× 5 0.2× 27 1.2× 15 249
Ganmin Yin 46 0.7× 27 0.5× 39 1.4× 10 0.4× 55 2.4× 21 282
Anurag Verma 43 0.6× 4 0.1× 9 0.3× 13 0.5× 15 0.7× 18 290
Anurag Barthwal 106 1.5× 74 1.5× 30 1.1× 6 0.2× 45 2.0× 30 222
Jalpa Shah 63 0.9× 20 0.4× 7 0.3× 5 0.2× 23 1.0× 17 284
Teng Xi 29 0.4× 13 0.3× 11 0.4× 8 0.3× 11 0.5× 22 182
Yi Yang 30 0.4× 18 0.4× 12 0.4× 6 0.2× 9 0.4× 27 200

Countries citing papers authored by Nitish Gupta

Since Specialization
Citations

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

Fields of papers citing papers by Nitish Gupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nitish Gupta

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