G. N. Singh

176 total papers · 849 total citations
130 papers, 618 citations indexed

About

G. N. Singh is a scholar working on Statistics and Probability, Artificial Intelligence and Sociology and Political Science. According to data from OpenAlex, G. N. Singh has authored 130 papers receiving a total of 618 indexed citations (citations by other indexed papers that have themselves been cited), including 122 papers in Statistics and Probability, 21 papers in Artificial Intelligence and 10 papers in Sociology and Political Science. Recurrent topics in G. N. Singh's work include Survey Sampling and Estimation Techniques (118 papers), Statistical Methods and Bayesian Inference (39 papers) and Bayesian Methods and Mixture Models (17 papers). G. N. Singh is often cited by papers focused on Survey Sampling and Estimation Techniques (118 papers), Statistical Methods and Bayesian Inference (39 papers) and Bayesian Methods and Mixture Models (17 papers). G. N. Singh collaborates with scholars based in India, Saudi Arabia and United States. G. N. Singh's co-authors include Jong‐Min Kim, Fozia Homa, Cem Kadılar, Sarjinder Singh, Amod Kumar, H. M. Srivastava, V. N. Jha, Soma Giri, Rajesh K. Pandey and Marcin Kozak and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

G. N. Singh

119 papers receiving 585 citations

Author Peers

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

Author Last Decade Papers Cites
G. N. Singh 564 124 41 27 21 130 618
Gajendra K. Vishwakarma 449 0.8× 78 0.6× 20 0.5× 37 1.4× 26 1.2× 101 626
Zhi Geng 475 0.8× 137 1.1× 24 0.6× 13 0.5× 20 1.0× 74 647
Tolga Zaman 549 1.0× 61 0.5× 23 0.6× 20 0.7× 62 3.0× 49 601
Anoop Kumar 471 0.8× 61 0.5× 38 0.9× 12 0.4× 62 3.0× 92 642
Pengfei Li 339 0.6× 202 1.6× 30 0.7× 31 1.1× 24 1.1× 55 502
Jeremias Leão 314 0.6× 75 0.6× 28 0.7× 12 0.4× 102 4.9× 44 519
Usman Shahzad 500 0.9× 38 0.3× 20 0.5× 14 0.5× 54 2.6× 65 557
Biao Zhang 469 0.8× 133 1.1× 10 0.2× 11 0.4× 39 1.9× 54 578
Peisong Han 463 0.8× 67 0.5× 18 0.4× 16 0.6× 14 0.7× 53 696
Abdisalam Hassan Muse 329 0.6× 40 0.3× 12 0.3× 7 0.3× 142 6.8× 65 522

Countries citing papers authored by G. N. Singh

Since Specialization
Citations

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

Fields of papers citing papers by G. N. Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. N. Singh

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