Anil Singh Parihar

114 total papers · 1.2k total citations
73 papers, 791 citations indexed

About

Anil Singh Parihar is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Anil Singh Parihar has authored 73 papers receiving a total of 791 indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Computer Vision and Pattern Recognition, 22 papers in Media Technology and 9 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Anil Singh Parihar's work include Image Enhancement Techniques (40 papers), Advanced Image Processing Techniques (22 papers) and Advanced Image Fusion Techniques (16 papers). Anil Singh Parihar is often cited by papers focused on Image Enhancement Techniques (40 papers), Advanced Image Processing Techniques (22 papers) and Advanced Image Fusion Techniques (16 papers). Anil Singh Parihar collaborates with scholars based in India, United States and United Arab Emirates. Anil Singh Parihar's co-authors include Om Prakash Verma, Kavinder Singh, M. Hanmandlu, Ashish Kumar Sultania, Surendrabikram Thapa, Akshat Agarwal, Harshit Gupta, Vamsi Krishna Madasu, Prerana Mukherjee and Ashutosh Pandey and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Transactions on Vehicular Technology and IEEE Transactions on Fuzzy Systems.

In The Last Decade

Anil Singh Parihar

62 papers receiving 765 citations

Author Peers

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

Author Last Decade Papers Cites
Anil Singh Parihar 620 282 92 57 52 73 791
Michal Haindl 502 0.8× 119 0.4× 77 0.8× 63 1.1× 59 1.1× 85 726
Mohammad Shoyaib 501 0.8× 169 0.6× 174 1.9× 53 0.9× 23 0.4× 48 804
Xin Li 691 1.1× 261 0.9× 81 0.9× 55 1.0× 27 0.5× 51 870
Ching‐Te Chiu 386 0.6× 83 0.3× 110 1.2× 47 0.8× 36 0.7× 66 725
Shan Gai 407 0.7× 186 0.7× 78 0.8× 52 0.9× 20 0.4× 83 874
J. Chamorro-Martı́nez 358 0.6× 179 0.6× 121 1.3× 59 1.0× 89 1.7× 52 671
Da Yang 507 0.8× 127 0.5× 116 1.3× 22 0.4× 35 0.7× 40 827
Chunling Yang 453 0.7× 222 0.8× 74 0.8× 68 1.2× 42 0.8× 88 758
Min Liu 679 1.1× 315 1.1× 56 0.6× 21 0.4× 63 1.2× 31 791
Bing Luo 554 0.9× 199 0.7× 97 1.1× 33 0.6× 18 0.3× 76 734

Countries citing papers authored by Anil Singh Parihar

Since Specialization
Citations

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

Fields of papers citing papers by Anil Singh Parihar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anil Singh Parihar

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