Upendra Singh

64 total papers · 804 total citations
35 papers, 263 citations indexed

About

Upendra Singh is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Plant Science. According to data from OpenAlex, Upendra Singh has authored 35 papers receiving a total of 263 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 4 papers in Plant Science. Recurrent topics in Upendra Singh's work include Domain Adaptation and Few-Shot Learning (4 papers), Agricultural Economics and Practices (3 papers) and Multimodal Machine Learning Applications (3 papers). Upendra Singh is often cited by papers focused on Domain Adaptation and Few-Shot Learning (4 papers), Agricultural Economics and Practices (3 papers) and Multimodal Machine Learning Applications (3 papers). Upendra Singh collaborates with scholars based in India, Singapore and United States. Upendra Singh's co-authors include Adel Ben Youssef, Sweta, Krishna Pratap Singh, K. B. Saxena, J. T. Ritchie, D. G. Faris, J. K. Ladha, Vinay Singh, Manoj Thakur and Piyush Kumar Sharma and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Hydrogen Energy and Agricultural Systems.

In The Last Decade

Upendra Singh

31 papers receiving 236 citations

Author Peers

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

Author						Papers	Cites
Upendra Singh	62	44	38	32	28	35	263
Ranjana Agrawal	154 2.5×	57 1.3×	17 0.4×	33 1.0×	11 0.4×	29	321
Ahmad Hameed	41 0.7×	19 0.4×	23 0.6×	6 0.2×		31	305
Emmanuel Abankwah Ofori	25 0.4×	7 0.2×	24 0.6×	23 0.7×	2 0.1×	29	222
Sanjoy Datta	34 0.5×	7 0.2×	26 0.7×	16 0.5×	1 0.0×	22	298
Rezaul Karim	82 1.3×	17 0.4×	29 0.8×	6 0.2×		36	243
Farhat Ullah Khan	36 0.6×	9 0.2×	16 0.4×	8 0.3×	1 0.0×	38	260
Xinyu Guo	127 2.0×	10 0.2×	17 0.4×	2 0.1×	5 0.2×	38	293
Fenglian Liu	27 0.4×	27 0.6×	8 0.2×	5 0.2×	15 0.5×	42	308
Jing Wu	38 0.6×	12 0.3×	10 0.3×	9 0.3×		52	270
Shaik Mahaboob Basha	89 1.4×	18 0.4×	40 1.1×	5 0.2×		57	307

Countries citing papers authored by Upendra Singh

Since Specialization

Citations

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

Fields of papers citing papers by Upendra Singh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Upendra Singh

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