Sujoy Paul

1.1k total citations
13 papers, 392 citations indexed

About

Sujoy Paul is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Sujoy Paul has authored 13 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 1 paper in Computer Networks and Communications. Recurrent topics in Sujoy Paul's work include Machine Learning and Algorithms (4 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Human Pose and Action Recognition (4 papers). Sujoy Paul is often cited by papers focused on Machine Learning and Algorithms (4 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Human Pose and Action Recognition (4 papers). Sujoy Paul collaborates with scholars based in United States, India and Hong Kong. Sujoy Paul's co-authors include P. Agathoklis, Swagatam Das, Amit K. Roy–Chowdhury, Yaonan Wang, Xueping Wang, Min Liu, Jawadul H. Bappy, Sourya Roy, Neal E. Young and Mahmudul Hasan and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Pattern Recognition Letters.

In The Last Decade

Sujoy Paul

13 papers receiving 384 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sujoy Paul United States 8 255 162 110 43 34 13 392
Fazhi He China 8 259 1.0× 59 0.4× 91 0.8× 22 0.5× 15 0.4× 10 385
Guangfeng Lin China 15 487 1.9× 106 0.7× 172 1.6× 58 1.3× 10 0.3× 45 650
Zinan Zeng Singapore 5 350 1.4× 78 0.5× 268 2.4× 63 1.5× 13 0.4× 6 461
Phu‐Hung Dinh Vietnam 12 323 1.3× 274 1.7× 91 0.8× 41 1.0× 11 0.3× 18 473
Min Dong China 9 132 0.5× 59 0.4× 87 0.8× 32 0.7× 19 0.6× 40 305
Gh. S. El-Tawel Egypt 7 94 0.4× 61 0.4× 196 1.8× 49 1.1× 55 1.6× 9 359
Rongchun Zhao China 8 198 0.8× 67 0.4× 88 0.8× 50 1.2× 12 0.4× 57 321
Partha Bhowmick India 10 311 1.2× 83 0.5× 29 0.3× 19 0.4× 22 0.6× 79 387
Sonia Mota Spain 10 180 0.7× 63 0.4× 118 1.1× 14 0.3× 29 0.9× 23 410
R. Kayalvizhi India 7 279 1.1× 116 0.7× 134 1.2× 12 0.3× 13 0.4× 19 401

Countries citing papers authored by Sujoy Paul

Since Specialization
Citations

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

Fields of papers citing papers by Sujoy Paul

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sujoy Paul

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

All Works

13 of 13 papers shown
1.
Paul, Sujoy, et al.. (2023). Reconstruction Guided Meta-Learning for Few Shot Open Set Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(12). 15394–15405. 11 indexed citations
2.
Paul, Sujoy, Gaurav Aggarwal, Soma Biswas, et al.. (2022). Spacing Loss for Discovering Novel Categories. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 3760–3765. 7 indexed citations
3.
Wang, Xueping, et al.. (2021). Learning Person Re-Identification Models From Videos With Weak Supervision. IEEE Transactions on Image Processing. 30. 3017–3028. 56 indexed citations
4.
Bappy, Jawadul H., Sujoy Paul, Ertem Tuncel, & Amit K. Roy–Chowdhury. (2019). Exploiting Typicality for Selecting Informative and Anomalous Samples in Videos. IEEE Transactions on Image Processing. 28(10). 5214–5226. 4 indexed citations
5.
Paul, Sujoy, et al.. (2019). Learning from Trajectories via Subgoal Discovery. arXiv (Cornell University). 32. 8409–8419. 3 indexed citations
6.
Roy, Sourya, Sujoy Paul, Neal E. Young, & Amit K. Roy–Chowdhury. (2018). Exploiting Transitivity for Learning Person Re-identification Models on a Budget. 10 indexed citations
7.
Hasan, Mahmudul, Sujoy Paul, Anastasios I. Mourikis, & Amit K. Roy–Chowdhury. (2018). Context-Aware Query Selection for Active Learning in Event Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence. 42(3). 554–567. 13 indexed citations
8.
Bappy, Jawadul H., Sujoy Paul, Ertem Tuncel, & Amit K. Roy–Chowdhury. (2017). The Impact of Typicality for Informative Representative Selection. 771–780. 4 indexed citations
9.
Paul, Sujoy, Jawadul H. Bappy, & Amit K. Roy–Chowdhury. (2017). Non-uniform Subset Selection for Active Learning in Structured Data. 830–839. 13 indexed citations
10.
Paul, Sujoy, et al.. (2016). Multi-Exposure and Multi-Focus Image Fusion in Gradient Domain. Journal of Circuits Systems and Computers. 25(10). 1650123–1650123. 159 indexed citations
11.
Paul, Sujoy, Jawadul H. Bappy, & Amit K. Roy–Chowdhury. (2016). Efficient selection of informative and diverse training samples with applications in scene classification. 52. 494–498. 4 indexed citations
12.
Paul, Sujoy & Swagatam Das. (2015). Simultaneous feature selection and weighting – An evolutionary multi-objective optimization approach. Pattern Recognition Letters. 65. 51–59. 86 indexed citations
13.

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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