Pratibha Singh

88 total papers · 1.2k total citations
56 papers, 889 citations indexed

About

Pratibha Singh is a scholar working on Electrical and Electronic Engineering, Polymers and Plastics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Pratibha Singh has authored 56 papers receiving a total of 889 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Electrical and Electronic Engineering, 16 papers in Polymers and Plastics and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Pratibha Singh's work include Analytical Chemistry and Sensors (11 papers), Handwritten Text Recognition Techniques (10 papers) and Conducting polymers and applications (10 papers). Pratibha Singh is often cited by papers focused on Analytical Chemistry and Sensors (11 papers), Handwritten Text Recognition Techniques (10 papers) and Conducting polymers and applications (10 papers). Pratibha Singh collaborates with scholars based in India, Brunei and Russia. Pratibha Singh's co-authors include S.K. Shukla, Bijaya Ketan Panigrahi, Santanu Chaudhury, S. P. Singh, Chandra Shekhar Kushwaha, Gurudutt Dubey, Narendra S. Chaudhari, Ajay Verma, Arobindo Chatterjee and Inderjeet Tyagi and has published in prestigious journals such as Journal of Cleaner Production, Journal of Materials Science and Sensors and Actuators B Chemical.

In The Last Decade

Pratibha Singh

55 papers receiving 842 citations

Author Peers

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

Author Last Decade Papers Cites
Pratibha Singh 298 243 191 156 131 56 889
Qianli Zhang 406 1.4× 179 0.7× 92 0.5× 118 0.8× 319 2.4× 49 1.0k
Nesrine Amor 194 0.7× 153 0.6× 154 0.8× 220 1.4× 114 0.9× 48 870
Yanxia Liu 434 1.5× 71 0.3× 101 0.5× 244 1.6× 38 0.3× 63 764
Hossein Rahmani 75 0.3× 227 0.9× 119 0.6× 226 1.4× 90 0.7× 70 971
Qingqing Liu 399 1.3× 108 0.4× 84 0.4× 148 0.9× 54 0.4× 70 912
Zihao Song 441 1.5× 146 0.6× 261 1.4× 297 1.9× 15 0.1× 96 1.0k
Dongqi Liu 433 1.5× 182 0.7× 103 0.5× 339 2.2× 53 0.4× 98 1.1k
Xiyuan Liu 339 1.1× 56 0.2× 202 1.1× 148 0.9× 99 0.8× 37 859
Murali Rangarajan 301 1.0× 135 0.6× 141 0.7× 226 1.4× 84 0.6× 71 830
Qingyun Chen 262 0.9× 73 0.3× 42 0.2× 124 0.8× 28 0.2× 43 897

Countries citing papers authored by Pratibha Singh

Since Specialization
Citations

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

Fields of papers citing papers by Pratibha Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pratibha Singh

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