Sumit Shekhar

1.1k total citations
25 papers, 714 citations indexed

About

Sumit Shekhar is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Sumit Shekhar has authored 25 papers receiving a total of 714 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 8 papers in Signal Processing and 6 papers in Artificial Intelligence. Recurrent topics in Sumit Shekhar's work include Advanced Image and Video Retrieval Techniques (6 papers), Biometric Identification and Security (5 papers) and Face recognition and analysis (5 papers). Sumit Shekhar is often cited by papers focused on Advanced Image and Video Retrieval Techniques (6 papers), Biometric Identification and Security (5 papers) and Face recognition and analysis (5 papers). Sumit Shekhar collaborates with scholars based in United States, Germany and India. Sumit Shekhar's co-authors include Vishal M. Patel, Rama Chellappa, Ajay Kumar, Nasser M. Nasrabadi, Hien Van Nguyen, Yichen Chen, P. Jonathon Phillips, Ashish Shrivastava, Larry S. Davis and Mohammad Rastegari and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Computer Graphics Forum.

In The Last Decade

Sumit Shekhar

22 papers receiving 681 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sumit Shekhar United States	10	514	301	203	104	99	25	714
Zhen Lei China	21	1.8k 3.5×	688 2.3×	272 1.3×	126 1.2×	47 0.5×	36	2.0k
Luan Tran United States	10	1.1k 2.1×	261 0.9×	281 1.4×	142 1.4×	29 0.3×	15	1.3k
Saurabh Singh India	9	500 1.0×	165 0.5×	246 1.2×	15 0.1×	88 0.9×	33	740
Linchao Bao China	19	1.2k 2.4×	167 0.6×	62 0.3×	169 1.6×	32 0.3×	33	1.3k
Chen Gong China	11	597 1.2×	66 0.2×	440 2.2×	48 0.5×	58 0.6×	16	866
Fernando Díaz-de-María Spain	15	430 0.8×	449 1.5×	319 1.6×	17 0.2×	31 0.3×	92	810
Venice Erin Liong Singapore	16	1.5k 2.9×	260 0.9×	211 1.0×	26 0.3×	27 0.3×	23	1.6k
Maurício Pamplona Segundo Brazil	12	499 1.0×	221 0.7×	50 0.2×	42 0.4×	46 0.5×	30	661
Gilbert Maître Switzerland	7	837 1.6×	528 1.8×	157 0.8×	36 0.3×	47 0.5×	17	1.0k
Gaoyun An China	19	778 1.5×	78 0.3×	276 1.4×	58 0.6×	9 0.1×	115	956

Countries citing papers authored by Sumit Shekhar

Since Specialization

Citations

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

Fields of papers citing papers by Sumit Shekhar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sumit Shekhar

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

All Works

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20 of 20 papers shown

Shekhar, Sumit, et al.. (2025). Detecting Fake Accounts with Multi-Platform ML. 784–790.

Bhattacharyya, Pushpak, et al.. (2023). “Let’s not Quote out of Context”: Unified Vision-Language Pretraining for Context Assisted Image Captioning. 695–706. 1 indexed citations

Srinivasan, B., et al.. (2023). A Neural CRF-based Hierarchical Approach for Linear Text Segmentation. 883–893. 2 indexed citations

Shekhar, Sumit, et al.. (2023). Interactive Control over Temporal Consistency while Stylizing Video Streams. Computer Graphics Forum. 42(4). 1 indexed citations

Shekhar, Sumit, et al.. (2023). Open-World Factually Consistent Question Generation. 2390–2404.

Shekhar, Sumit, et al.. (2021). Interactive Photo Editing on Smartphones via Intrinsic Decomposition. Computer Graphics Forum. 40(2). 497–510. 2 indexed citations

Shekhar, Sumit, Amir Semmo, Matthias Trapp, et al.. (2019). Consistent Filtering of Videos and Dense Light-Fields Without Optic-Flow. Data Archiving and Networked Services (DANS). 125–134. 1 indexed citations

Semmo, Amir, et al.. (2019). ViVid. 1–2. 1 indexed citations

Shekhar, Sumit, Matthias Ziegler, Karol Myszkowski, et al.. (2018). Light-Field Intrinsic Dataset. Max Planck Digital Library. 120.

10.

Patel, Vishal M., et al.. (2015). Domain adaptive sparse representation-based classification. 1–8. 22 indexed citations

11.

Bajaj, Payal, et al.. (2015). Similarity Learning for Product Recommendation and Scoring Using Multi-channel Data. 12. 1143–1152. 4 indexed citations

12.

Shekhar, Sumit, Vishal M. Patel, Hien Van Nguyen, & Rama Chellappa. (2015). Coupled Projections for Adaptation of Dictionaries. IEEE Transactions on Image Processing. 24(10). 2941–2954. 28 indexed citations

13.

Shrivastava, Ashish, Sumit Shekhar, & Vishal M. Patel. (2014). Unsupervised domain adaptation using parallel transport on Grassmann manifold. 277–284. 19 indexed citations

14.

Shekhar, Sumit, et al.. (2014). Parametric Dictionaries and Feature Augmentation for Continuous Domain Adaptation. 1–8. 1 indexed citations

15.

Shekhar, Sumit, Vishal M. Patel, & Rama Chellappa. (2014). Analysis sparse coding models for image-based classification. Zenodo (CERN European Organization for Nuclear Research). 5207–5211. 43 indexed citations

16.

Shekhar, Sumit, Vishal M. Patel, Nasser M. Nasrabadi, & Rama Chellappa. (2013). Joint Sparse Representation for Robust Multimodal Biometrics Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence. 36(1). 113–126. 220 indexed citations

17.

Chen, Yichen, Vishal M. Patel, Sumit Shekhar, Rama Chellappa, & P. Jonathon Phillips. (2013). Video-based face recognition via joint sparse representation. 1–8. 47 indexed citations

18.

Kumar, Ajay & Sumit Shekhar. (2011). Technical Correspondence Personal Identification Using Multibiometrics Rank-Level Fusion. 1 indexed citations

19.

Kumar, Ajay & Sumit Shekhar. (2010). Personal Identification Using Multibiometrics Rank-Level Fusion. IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews). 41(5). 743–752. 137 indexed citations

20.

Kumar, Ajay & Sumit Shekhar. (2010). Palmprint recognition using rank level fusion. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 3121–3124. 22 indexed citations

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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