Pankaj Agarwal

1.6k total citations
55 papers, 753 citations indexed

About

Pankaj Agarwal is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Pankaj Agarwal has authored 55 papers receiving a total of 753 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 16 papers in Artificial Intelligence and 13 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Pankaj Agarwal's work include Computational Geometry and Mesh Generation (12 papers), Algorithms and Data Compression (9 papers) and Robotic Path Planning Algorithms (5 papers). Pankaj Agarwal is often cited by papers focused on Computational Geometry and Mesh Generation (12 papers), Algorithms and Data Compression (9 papers) and Robotic Path Planning Algorithms (5 papers). Pankaj Agarwal collaborates with scholars based in India, United States and Israel. Pankaj Agarwal's co-authors include Kasturi Varadarajan, Otfried Schwarzkopf, M. Sharir, Cecilia M. Procopiuc, Micha Sharir, Hongyan Wang, Haim Kaplan, Michael Jones, Lydia E. Kavraki and Matthew T. Mason and has published in prestigious journals such as SHILAP Revista de lepidopterología, Public Administration Review and SIAM Journal on Computing.

In The Last Decade

Pankaj Agarwal

45 papers receiving 690 citations

Peers

Pankaj Agarwal
Comparison fields: 5 of 122
  • Computer Vision and Pattern Recognition 245
  • Computer Graphics and Computer-Aided Design 182
  • Signal Processing 167
  • Artificial Intelligence 134
  • Computer Networks and Communications 81
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Yong Cao United States
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Citations per field, relative to Pankaj Agarwal
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Citations per year, relative to Pankaj Agarwal
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Countries citing papers authored by Pankaj Agarwal

Since Specialization
Citations

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

Fields of papers citing papers by Pankaj Agarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pankaj Agarwal

This figure shows the co-authorship network connecting the top 25 collaborators of Pankaj Agarwal. A scholar is included among the top collaborators of Pankaj Agarwal 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 Pankaj Agarwal. Pankaj Agarwal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
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3 4
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6 0
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11
Digital Rocks Portal: a sustainable platform for imaged dataset sharing, translation and automated analysis
5
12 11
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Securing Data Using JPEG Image Over Mobile Phone
3
14 6
15 15
16
Role of transcranial doppler sonography and pressure provocation test to evaluate the need for cerebrospinal fluid drainage i n hydrocephalic children
4
17
Vincristine induced right vocal cord palsy in a case of non-hodgkins lymphoma : a case Report
6
18 4
19 4
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Circular visibility of a simple polygon from a fixed point.
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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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