Abhishek Gangwar

484 total citations
13 papers, 301 citations indexed

About

Abhishek Gangwar is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Genetics. According to data from OpenAlex, Abhishek Gangwar has authored 13 papers receiving a total of 301 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 9 papers in Signal Processing and 4 papers in Genetics. Recurrent topics in Abhishek Gangwar's work include Biometric Identification and Security (9 papers), Face recognition and analysis (6 papers) and Face and Expression Recognition (5 papers). Abhishek Gangwar is often cited by papers focused on Biometric Identification and Security (9 papers), Face recognition and analysis (6 papers) and Face and Expression Recognition (5 papers). Abhishek Gangwar collaborates with scholars based in India, Spain and Sweden. Abhishek Gangwar's co-authors include Akanksha Joshi, Eduardo Fidalgo, V́ıctor González-Castro, Enrique Alegre, Zia Saquib, Josef Bigün, Fernando Alonso‐Fernandez and Renu Sharma and has published in prestigious journals such as Neurocomputing, Information Processing & Management and KTH Publication Database DiVA (KTH Royal Institute of Technology).

In The Last Decade

Abhishek Gangwar

13 papers receiving 291 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Abhishek Gangwar India 7 232 193 70 61 26 13 301
Craig Belcher United States 9 294 1.3× 214 1.1× 125 1.8× 40 0.7× 16 0.6× 15 336
Prathyusha Kanakam India 7 240 1.0× 126 0.7× 99 1.4× 89 1.5× 27 1.0× 22 307
Zhaofeng He China 9 361 1.6× 217 1.1× 157 2.2× 69 1.1× 18 0.7× 15 405
Shejin Thavalengal Ireland 10 248 1.1× 152 0.8× 156 2.2× 35 0.6× 22 0.8× 15 300
Hyeon Chang Lee South Korea 9 318 1.4× 185 1.0× 78 1.1× 135 2.2× 19 0.7× 10 373
Christof Kauba Austria 14 376 1.6× 228 1.2× 107 1.5× 142 2.3× 26 1.0× 35 431
Ricardo Santos Portugal 5 290 1.3× 210 1.1× 107 1.5× 61 1.0× 22 0.8× 10 393
Caiyong Wang China 8 158 0.7× 137 0.7× 44 0.6× 30 0.5× 28 1.1× 24 264
Lionel Martin France 6 276 1.2× 163 0.8× 163 2.3× 27 0.4× 62 2.4× 13 388
Jason Thornton United States 7 173 0.7× 163 0.8× 63 0.9× 40 0.7× 16 0.6× 16 264

Countries citing papers authored by Abhishek Gangwar

Since Specialization
Citations

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

Fields of papers citing papers by Abhishek Gangwar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abhishek Gangwar

This figure shows the co-authorship network connecting the top 25 collaborators of Abhishek Gangwar. A scholar is included among the top collaborators of Abhishek Gangwar 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 Abhishek Gangwar. Abhishek Gangwar 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.
Gangwar, Abhishek, et al.. (2024). DeepHSAR: Semi-supervised fine-grained learning for multi-label human sexual activity recognition. Information Processing & Management. 61(5). 103800–103800. 1 indexed citations
2.
Gangwar, Abhishek, V́ıctor González-Castro, Enrique Alegre, & Eduardo Fidalgo. (2023). Triple-BigGAN: Semi-supervised generative adversarial networks for image synthesis and classification on sexual facial expression recognition. Neurocomputing. 528. 200–216. 14 indexed citations
3.
Gangwar, Abhishek, V́ıctor González-Castro, Enrique Alegre, & Eduardo Fidalgo. (2021). AttM-CNN: Attention and metric learning based CNN for pornography, age and Child Sexual Abuse (CSA) Detection in images. Neurocomputing. 445. 81–104. 36 indexed citations
4.
Joshi, Akanksha, et al.. (2017). Iris segmentation using deep neural networks. 548–555. 5 indexed citations
5.
Gangwar, Abhishek, et al.. (2016). IrisSeg: A fast and robust iris segmentation framework for non-ideal iris images. KTH Publication Database DiVA (KTH Royal Institute of Technology). 1–8. 42 indexed citations
6.
Gangwar, Abhishek & Akanksha Joshi. (2016). DeepIrisNet: Deep iris representation with applications in iris recognition and cross-sensor iris recognition. 2301–2305. 149 indexed citations
7.
Gangwar, Abhishek & Akanksha Joshi. (2015). Local Gabor Rank Pattern (LGRP): A novel descriptor for face representation and recognition. 19. 1–6. 2 indexed citations
8.
Joshi, Akanksha & Abhishek Gangwar. (2015). Color local phase quantization (CLPQ)- A new face representation approach using color texture cues. 177–184. 5 indexed citations
10.
Joshi, Akanksha, et al.. (2014). Periocular recognition based on Gabor and Parzen PNN. 4977–4981. 16 indexed citations
11.
Gangwar, Abhishek & Akanksha Joshi. (2014). Robust periocular biometrics based on Local Phase Quantisation and Gabor transform. 714–720. 7 indexed citations
12.
Joshi, Akanksha, Abhishek Gangwar, & Zia Saquib. (2012). Collarette Region Recognition based on Wavelets and Direct Linear Discriminant Analysis. International Journal of Computer Applications. 40(9). 35–39. 4 indexed citations
13.
Joshi, Akanksha, Abhishek Gangwar, & Zia Saquib. (2012). Person recognition based on fusion of iris and periocular biometrics. 57–62. 18 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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