Pampa Sinha

88 total papers · 1.0k total citations
60 papers, 688 citations indexed

About

Pampa Sinha is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Pampa Sinha has authored 60 papers receiving a total of 688 indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Electrical and Electronic Engineering, 27 papers in Control and Systems Engineering and 14 papers in Computer Vision and Pattern Recognition. Recurrent topics in Pampa Sinha's work include Power Quality and Harmonics (16 papers), Power Transformer Diagnostics and Insulation (13 papers) and Power Systems Fault Detection (13 papers). Pampa Sinha is often cited by papers focused on Power Quality and Harmonics (16 papers), Power Transformer Diagnostics and Insulation (13 papers) and Power Systems Fault Detection (13 papers). Pampa Sinha collaborates with scholars based in India, United States and Egypt. Pampa Sinha's co-authors include Ahmed H. Tewfik, Palle E. T. Jørgensen, Swapan Kumar Goswami, S Ramana Kumar Joga, C.-E.W. Sundberg, Chitralekha Jena, Ańıbal Ferreira, James D. Johnston, Kaushik Paul and Sanchari Deb and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Information Theory.

In The Last Decade

Pampa Sinha

53 papers receiving 615 citations

Author Peers

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

Author						Papers	Cites
Pampa Sinha	319	275	264	143	88	60	688
W.H. Lau	314 1.0×	229 0.8×	258 1.0×	60 0.4×	53 0.6×	51	648
Лэй Сун	124 0.4×	211 0.8×	133 0.5×	124 0.9×	143 1.6×	68	609
Shouda Jiang	61 0.2×	189 0.7×	173 0.7×	205 1.4×	179 2.0×	74	709
Jung Min Pak	97 0.3×	366 1.3×	66 0.3×	207 1.4×	86 1.0×	40	783
Jan Vaňuš	161 0.5×	286 1.0×	82 0.3×	41 0.3×	43 0.5×	68	709
Jianfeng Chen	55 0.2×	251 0.9×	126 0.5×	262 1.8×	43 0.5×	56	735
Hung‐Ching Lu	110 0.3×	181 0.7×	76 0.3×	357 2.5×	79 0.9×	71	743
Ata Ur Rehman	135 0.4×	122 0.4×	81 0.3×	77 0.5×	72 0.8×	39	573
Jan Žídek	147 0.5×	240 0.9×	135 0.5×	31 0.2×	77 0.9×	47	685
Jaehyun Yoo	96 0.3×	351 1.3×	101 0.4×	151 1.1×	26 0.3×	56	727

Countries citing papers authored by Pampa Sinha

Since Specialization

Citations

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

Fields of papers citing papers by Pampa Sinha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pampa Sinha

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