Madhushi Verma

73 total papers · 840 total citations
39 papers, 434 citations indexed

About

Madhushi Verma is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Madhushi Verma has authored 39 papers receiving a total of 434 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 14 papers in Artificial Intelligence and 5 papers in Computer Networks and Communications. Recurrent topics in Madhushi Verma's work include Advanced Neural Network Applications (6 papers), Human Pose and Action Recognition (6 papers) and Video Surveillance and Tracking Methods (5 papers). Madhushi Verma is often cited by papers focused on Advanced Neural Network Applications (6 papers), Human Pose and Action Recognition (6 papers) and Video Surveillance and Tracking Methods (5 papers). Madhushi Verma collaborates with scholars based in India, Saudi Arabia and Egypt. Madhushi Verma's co-authors include Gaurav Singal, Sunil Kumar, Shashank Sheshar Singh, Jagendra Singh, Hammam Alshazly, Sahar Ahmed Idris, K.K. Shukla, Heung-No Lee, Manjit Kaur and Dilbag Singh and has published in prestigious journals such as IEEE Access, IEEE Transactions on Fuzzy Systems and Neural Computing and Applications.

In The Last Decade

Madhushi Verma

33 papers receiving 407 citations

Author Peers

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

Author Last Decade Papers Cites
Madhushi Verma 120 100 94 69 62 39 434
Ahmed Alahmadi 138 1.1× 155 1.6× 72 0.8× 94 1.4× 46 0.7× 39 472
Matin Pirouz 58 0.5× 199 2.0× 59 0.6× 48 0.7× 82 1.3× 34 479
Cong Tang 71 0.6× 93 0.9× 92 1.0× 47 0.7× 117 1.9× 39 430
Shangming Yang 120 1.0× 142 1.4× 126 1.3× 54 0.8× 36 0.6× 39 391
Jian Wan 105 0.9× 77 0.8× 220 2.3× 25 0.4× 37 0.6× 39 479
Tianbo Wang 203 1.7× 179 1.8× 48 0.5× 33 0.5× 23 0.4× 53 484
Hela Ltifi 44 0.4× 147 1.5× 142 1.5× 24 0.3× 43 0.7× 61 407
Kun Bai 48 0.4× 195 1.9× 145 1.5× 40 0.6× 12 0.2× 26 443
Helbert Espitia 36 0.3× 170 1.7× 46 0.5× 63 0.9× 49 0.8× 76 472
V. Arulkumar 95 0.8× 95 0.9× 126 1.3× 52 0.8× 15 0.2× 20 374

Countries citing papers authored by Madhushi Verma

Since Specialization
Citations

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

Fields of papers citing papers by Madhushi Verma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Madhushi Verma

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