Pavan Chakraborty

131 total papers · 1.5k total citations
65 papers, 852 citations indexed

About

Pavan Chakraborty is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Control and Systems Engineering. According to data from OpenAlex, Pavan Chakraborty has authored 65 papers receiving a total of 852 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Vision and Pattern Recognition, 18 papers in Biomedical Engineering and 11 papers in Control and Systems Engineering. Recurrent topics in Pavan Chakraborty's work include Gait Recognition and Analysis (10 papers), Face and Expression Recognition (9 papers) and Human Pose and Action Recognition (7 papers). Pavan Chakraborty is often cited by papers focused on Gait Recognition and Analysis (10 papers), Face and Expression Recognition (9 papers) and Human Pose and Action Recognition (7 papers). Pavan Chakraborty collaborates with scholars based in India, Switzerland and France. Pavan Chakraborty's co-authors include Satish Kumar Singh, Soumendu Chakraborty, G. C. Nandi, Anup Nandy, Pritish Kumar Varadwaj, Rashmi Tripathi, Krishna Pratap Singh, Vijay Bhaskar Semwal, Rajesh Doriya and R. Vasundhara and has published in prestigious journals such as The Astrophysical Journal, IEEE Access and The Astronomical Journal.

In The Last Decade

Pavan Chakraborty

61 papers receiving 813 citations

Author Peers

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

Author						Papers	Cites
Pavan Chakraborty	338	203	100	96	90	65	852
Ziming Liu	301 0.9×	70 0.3×	97 1.0×	26 0.3×	119 1.3×	42	800
Hang Wu	303 0.9×	143 0.7×	28 0.3×	131 1.4×	111 1.2×	76	792
Min Yao	211 0.6×	143 0.7×	62 0.6×	56 0.6×	353 3.9×	104	969
Rafael Magdalena‐Benedito	135 0.4×	78 0.4×	58 0.6×	47 0.5×	367 4.1×	51	903
Muhammad Uzair	446 1.3×	60 0.3×	33 0.3×	50 0.5×	231 2.6×	54	992
Yanwen Chong	466 1.4×	62 0.3×	56 0.6×	45 0.5×	226 2.5×	54	897
Dengyong Zhang	477 1.4×	77 0.4×	49 0.5×	24 0.3×	130 1.4×	78	999
Lian Li	201 0.6×	84 0.4×	175 1.8×	34 0.4×	306 3.4×	66	1.0k
Jixin Liu	385 1.1×	103 0.5×	51 0.5×	28 0.3×	107 1.2×	77	751
Jiahan Li	118 0.3×	96 0.5×	208 2.1×	37 0.4×	51 0.6×	54	846

Countries citing papers authored by Pavan Chakraborty

Since Specialization

Citations

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

Fields of papers citing papers by Pavan Chakraborty

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pavan Chakraborty

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact