J. K. Aggarwal

55 total papers · 1.3k total citations
33 papers, 900 citations indexed

About

J. K. Aggarwal is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Mechanical Engineering. According to data from OpenAlex, J. K. Aggarwal has authored 33 papers receiving a total of 900 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 13 papers in Aerospace Engineering and 5 papers in Mechanical Engineering. Recurrent topics in J. K. Aggarwal's work include Robotics and Sensor-Based Localization (11 papers), Advanced Vision and Imaging (11 papers) and Image and Object Detection Techniques (6 papers). J. K. Aggarwal is often cited by papers focused on Robotics and Sensor-Based Localization (11 papers), Advanced Vision and Imaging (11 papers) and Image and Object Detection Techniques (6 papers). J. K. Aggarwal collaborates with scholars based in United States, United Kingdom and Canada. J. K. Aggarwal's co-authors include Lu Xia, Michael Magee, Worthy N. Martin, Iqbal Qasim, Y. R. Mayhew, Farshid Arman, Baba C. Vemuri, L. Talbot, Yuxiang Yang and Amar Mitiche and has published in prestigious journals such as International Journal of Heat and Mass Transfer, Pattern Recognition and IEEE Transactions on Robotics and Automation.

In The Last Decade

J. K. Aggarwal

30 papers receiving 850 citations

Hit Papers

Human activity recognitio... 2014 2026 2018 2022 2014 100 200 300

Author Peers

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

Author Last Decade Papers Cites
J. K. Aggarwal 685 195 185 185 120 33 900
Mingwu Ren 634 0.9× 112 0.6× 104 0.6× 268 1.4× 107 0.9× 65 1.0k
Ju Shen 582 0.8× 105 0.5× 109 0.6× 154 0.8× 136 1.1× 38 769
Songzhi Su 545 0.8× 140 0.7× 265 1.4× 96 0.5× 74 0.6× 73 866
Wen Wu 339 0.5× 53 0.3× 187 1.0× 204 1.1× 65 0.5× 36 887
Grazia Cicirelli 506 0.7× 141 0.7× 120 0.6× 171 0.9× 120 1.0× 66 975
Stanislav Kovačič 658 1.0× 147 0.8× 145 0.8× 142 0.8× 31 0.3× 37 977
Josep R. Casas 642 0.9× 87 0.4× 139 0.8× 84 0.5× 124 1.0× 94 957
Antonio S. Montemayor 543 0.8× 82 0.4× 176 1.0× 177 1.0× 196 1.6× 41 841
Xiliang Tong 515 0.8× 163 0.8× 87 0.5× 173 0.9× 91 0.8× 25 992
Carlos R. del‐Blanco 676 1.0× 290 1.5× 150 0.8× 80 0.4× 193 1.6× 57 984

Countries citing papers authored by J. K. Aggarwal

Since Specialization
Citations

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

Fields of papers citing papers by J. K. Aggarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. K. Aggarwal. 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 J. K. Aggarwal. The network helps show where J. K. Aggarwal may publish in the future.

Co-authorship network of co-authors of J. K. Aggarwal

This figure shows the co-authorship network connecting the top 25 collaborators of J. K. Aggarwal. A scholar is included among the top collaborators of J. K. Aggarwal 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 J. K. Aggarwal. J. K. Aggarwal 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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