Shailendra Kumar Singh

68 total papers · 409 total citations
29 papers, 286 citations indexed

About

Shailendra Kumar Singh is a scholar working on Artificial Intelligence, Organic Chemistry and Genetics. According to data from OpenAlex, Shailendra Kumar Singh has authored 29 papers receiving a total of 286 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Organic Chemistry and 5 papers in Genetics. Recurrent topics in Shailendra Kumar Singh's work include Sentiment Analysis and Opinion Mining (4 papers), Natural Language Processing Techniques (3 papers) and Authorship Attribution and Profiling (2 papers). Shailendra Kumar Singh is often cited by papers focused on Sentiment Analysis and Opinion Mining (4 papers), Natural Language Processing Techniques (3 papers) and Authorship Attribution and Profiling (2 papers). Shailendra Kumar Singh collaborates with scholars based in India, United States and South Africa. Shailendra Kumar Singh's co-authors include Utkarsh Sharma, Sanchita Paul, Ravinder Goswami, Rajesh Kumar, Subhash Mohan Agarwal, Rajni Rani, Sunita Agarwal, Rakesh Kumar Sharma, A. Jérome and Ashwin Ashok Raut and has published in prestigious journals such as Cancer Letters, Digestive Diseases and Sciences and Bulletin of the Chemical Society of Japan.

In The Last Decade

Shailendra Kumar Singh

25 papers receiving 267 citations

Author Peers

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

Author						Papers	Cites
Shailendra Kumar Singh	79	67	45	37	25	29	286
M. Manohar	24 0.3×	54 0.8×	39 0.9×	31 0.8×	13 0.5×	45	323
Shaik Mahaboob Basha	40 0.5×	19 0.3×	32 0.7×	28 0.8×	7 0.3×	57	307
Chenyang Zhang	40 0.5×	81 1.2×	42 0.9×	24 0.6×	12 0.5×	32	250
Ehsan Khodadadi	14 0.2×	39 0.6×	75 1.7×	11 0.3×	12 0.5×	29	278
Zihan Zhao	41 0.5×	79 1.2×	33 0.7×	24 0.6×	16 0.6×	32	309
Guangzhen Li	32 0.4×	22 0.3×	115 2.6×	27 0.7×	9 0.4×	43	311
Chengling Zhang	20 0.3×	41 0.6×	79 1.8×	12 0.3×	4 0.2×	36	289
Om Prakash	105 1.3×	40 0.6×	33 0.7×	2 0.1×	47 1.9×	30	270
Luyao Yang	45 0.6×	21 0.3×	108 2.4×	14 0.4×	15 0.6×	20	274
Wang Zhen	19 0.2×	42 0.6×	94 2.1×	16 0.4×	68 2.7×	18	299

Countries citing papers authored by Shailendra Kumar Singh

Since Specialization

Citations

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

Fields of papers citing papers by Shailendra Kumar Singh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shailendra Kumar Singh

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