Pankaj Agarwal

1.6k citations
55 papers · 753 indexed · h-index 14
Topics
Computational Geometry and Mesh Generation (12 papers)Algorithms and Data Compression (9 papers)Robotic Path Planning Algorithms (5 papers)
Journals
SHILAP Revista de lepidopterologíaPublic Administration ReviewSIAM Journal on Computing
Partner nations
IndiaUnited StatesIsrael

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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Citations per field
00.5×8.3×
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Citations per year

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
#WorkIndexed citations
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Digital Rocks Portal: a sustainable platform for imaged dataset sharing, translation and automated analysis
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Securing Data Using JPEG Image Over Mobile Phone
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Role of transcranial doppler sonography and pressure provocation test to evaluate the need for cerebrospinal fluid drainage i n hydrocephalic children
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Vincristine induced right vocal cord palsy in a case of non-hodgkins lymphoma : a case Report
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Circular visibility of a simple polygon from a fixed point.
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About Pankaj Agarwal

Pankaj Agarwal is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Radiological and Ultrasound Technology, having authored 55 papers that have together received 753 indexed citations. Recurring topics across this work include Computational Geometry and Mesh Generation (12 papers), Algorithms and Data Compression (9 papers) and Robotic Path Planning Algorithms (5 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (182 citations), Signal Processing (167 citations) and Computer Vision and Pattern Recognition (245 citations). Pankaj Agarwal has collaborated with scholars based in India, United States and Israel. Frequent 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. Their work appears in journals such as SHILAP Revista de lepidopterología, Public Administration Review and SIAM Journal on Computing.

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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