Ankan Bansal

779 total citations
6 papers, 279 citations indexed

About

Ankan Bansal is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Ankan Bansal has authored 6 papers receiving a total of 279 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 3 papers in Signal Processing and 2 papers in Artificial Intelligence. Recurrent topics in Ankan Bansal's work include Face recognition and analysis (4 papers), Face and Expression Recognition (4 papers) and Biometric Identification and Security (3 papers). Ankan Bansal is often cited by papers focused on Face recognition and analysis (4 papers), Face and Expression Recognition (4 papers) and Biometric Identification and Security (3 papers). Ankan Bansal collaborates with scholars based in United States. Ankan Bansal's co-authors include Carlos D. Castillo, Rama Chellappa, Rajeev Ranjan, Jun-Cheng Chen, Navaneeth Bodla, Swami Sankaranarayanan, Vishal M. Patel, Jingxiao Zheng, Joshua Gleason and Boyu Lu and has published in prestigious journals such as IEEE Signal Processing Magazine, Image and Vision Computing and IEEE Transactions on Biometrics Behavior and Identity Science.

In The Last Decade

Ankan Bansal

6 papers receiving 260 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ankan Bansal United States	5	212	99	38	20	19	6	279
Jingxiao Zheng United States	6	221 1.0×	96 1.0×	25 0.7×	14 0.7×	9 0.5×	11	270
Maneet Singh India	10	312 1.5×	196 2.0×	58 1.5×	58 2.9×	19 1.0×	26	417
Mandi Luo China	8	189 0.9×	108 1.1×	48 1.3×	9 0.5×	17 0.9×	13	259
Navaneeth Bodla United States	6	209 1.0×	56 0.6×	50 1.3×	15 0.8×	14 0.7×	9	283
Ngoc‐Son Vu France	11	397 1.9×	91 0.9×	47 1.2×	18 0.9×	12 0.6×	28	467
Xiaohu Shao China	6	282 1.3×	124 1.3×	30 0.8×	6 0.3×	5 0.3×	17	336
Yuval Nirkin Israel	4	459 2.2×	53 0.5×	79 2.1×	7 0.3×	11 0.6×	4	507
Yake Wei China	5	140 0.7×	83 0.8×	118 3.1×	15 0.8×	13 0.7×	8	271
Mihaela Gordan Romania	8	155 0.7×	58 0.6×	52 1.4×	10 0.5×	8 0.4×	46	260

Countries citing papers authored by Ankan Bansal

Since Specialization

Citations

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

Fields of papers citing papers by Ankan Bansal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ankan Bansal

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

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Liao, Haofu, Aruni RoyChowdhury, Ankan Bansal, et al.. (2023). DocTr: Document Transformer for Structured Information Extraction in Documents. 19527–19537. 5 indexed citations

2.

Ranjan, Rajeev, Ankan Bansal, Jingxiao Zheng, et al.. (2019). A Fast and Accurate System for Face Detection, Identification, and Verification. IEEE Transactions on Biometrics Behavior and Identity Science. 1(2). 82–96. 117 indexed citations

3.

Ranjan, Rajeev, Swami Sankaranarayanan, Ankan Bansal, et al.. (2018). Deep Learning for Understanding Faces: Machines May Be Just as Good, or Better, than Humans. IEEE Signal Processing Magazine. 35(1). 66–83. 128 indexed citations

4.

Lohit, Suhas, et al.. (2018). Predicting Dynamical Evolution of Human Activities from a Single Image. 104. 496–49609. 4 indexed citations

5.

Bansal, Ankan, Rajeev Ranjan, Carlos D. Castillo, & Rama Chellappa. (2018). Deep Features for Recognizing Disguised Faces in the Wild. 10–106. 23 indexed citations

6.

Lin, Wei-An, Jun-Cheng Chen, Rajeev Ranjan, et al.. (2018). Proximity-Aware Hierarchical Clustering of unconstrained faces. Image and Vision Computing. 77. 33–44. 2 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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