Kartik Thakral

617 total citations · 1 hit paper
14 papers, 370 citations indexed

About

Kartik Thakral is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Kartik Thakral has authored 14 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 3 papers in Signal Processing. Recurrent topics in Kartik Thakral's work include Generative Adversarial Networks and Image Synthesis (4 papers), Face recognition and analysis (3 papers) and Digital Media Forensic Detection (3 papers). Kartik Thakral is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (4 papers), Face recognition and analysis (3 papers) and Digital Media Forensic Detection (3 papers). Kartik Thakral collaborates with scholars based in India, Taiwan and United States. Kartik Thakral's co-authors include Ankush Mittal, Rahul Nijhawan, Mayank Vatsa, Richa Singh, Harsh Agarwal, Tal Hassner, Cristian Canton Ferrer, Harsh Agarwal, Vasantha Kumar Venugopal and Vikas Agarwal and has published in prestigious journals such as PLoS ONE, Nature Machine Intelligence and IEEE Transactions on Artificial Intelligence.

In The Last Decade

Kartik Thakral

11 papers receiving 350 citations

Hit Papers

Pneumonia Detection Using CNN based Feature Extraction 2019 2026 2021 2023 2019 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Pneumonia Detection Using CNN based Feature Extraction
    2019 266 citations Kartik Thakral, Rahul Nijhawan et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kartik Thakral India 7 227 164 125 53 29 14 370
Tarik Alafif Saudi Arabia 9 104 0.5× 157 1.0× 89 0.7× 46 0.9× 18 0.6× 21 303
Abhir Bhandary India 5 242 1.1× 135 0.8× 67 0.5× 105 2.0× 13 0.4× 11 328
Khalid El Asnaoui Morocco 6 273 1.2× 177 1.1× 78 0.6× 46 0.9× 18 0.6× 16 359
G. Ananth Prabhu India 5 251 1.1× 144 0.9× 62 0.5× 107 2.0× 13 0.4× 9 335
Mostafa El Habib Daho Algeria 9 107 0.5× 124 0.8× 69 0.6× 18 0.3× 24 0.8× 34 285
Arpan Basu India 8 146 0.6× 175 1.1× 60 0.5× 21 0.4× 9 0.3× 13 283
Tasmi Tamanna Australia 4 302 1.3× 214 1.3× 50 0.4× 48 0.9× 13 0.4× 5 356
Sakshi Ahuja India 7 331 1.5× 251 1.5× 114 0.9× 56 1.1× 20 0.7× 10 450
Preesat Biswas India 6 259 1.1× 192 1.2× 55 0.4× 26 0.5× 16 0.6× 16 328
Jin Uk Heo United States 4 199 0.9× 139 0.8× 48 0.4× 22 0.4× 19 0.7× 5 280

Countries citing papers authored by Kartik Thakral

Since Specialization
Citations

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

Fields of papers citing papers by Kartik Thakral

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kartik Thakral

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

All Works

14 of 14 papers shown
1.
Thakral, Kartik, et al.. (2025). Fine-Grained Erasure in Text-To-Image Diffusion-Based Foundation Models. 9121–9130.
2.
Thakral, Kartik, et al.. (2024). On responsible machine learning datasets emphasizing fairness, privacy and regulatory norms with examples in biometrics and healthcare. Nature Machine Intelligence. 6(8). 936–949. 13 indexed citations
3.
Thakral, Kartik, et al.. (2024). DeePhyNet: Toward Detecting Phylogeny in Deepfakes. IEEE Transactions on Biometrics Behavior and Identity Science. 7(1). 132–145.
4.
Thakral, Kartik, et al.. (2024). ToonerGAN: Reinforcing GANs for Obfuscating Automated Facial Indexing. 10875–10884.
5.
Thakral, Kartik, et al.. (2023). Are Face Detection Models Biased?. 1–7. 4 indexed citations
6.
Agarwal, Harsh, et al.. (2023). DF-Platter: Multi-Face Heterogeneous Deepfake Dataset. 9739–9748. 37 indexed citations
7.
Thakral, Kartik, et al.. (2023). PhygitalNet: Unified Face Presentation Attack Detection via One-Class Isolation Learning. 1–6. 2 indexed citations
8.
Thakral, Kartik, et al.. (2023). Low-Quality Deepfake Detection via Unseen Artifacts. IEEE Transactions on Artificial Intelligence. 5(4). 1573–1585. 6 indexed citations
9.
Venugopal, Vasantha Kumar, Vikas Agarwal, Manu Malhotra, et al.. (2022). A novel abnormality annotation database for COVID-19 affected frontal lung X-rays. PLoS ONE. 17(10). e0271931–e0271931. 4 indexed citations
10.
Agarwal, Harsh, et al.. (2022). DeSI: Deepfake Source Identifier for Social Media. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 2857–2866. 14 indexed citations
11.
Agarwal, Harsh, et al.. (2022). DeePhy: On Deepfake Phylogeny. 1–10. 14 indexed citations
12.
Thakral, Kartik, et al.. (2021). AECNet: Attentive EfficientNet For Crowd Counting. 1–8. 3 indexed citations
13.
Thakral, Kartik, et al.. (2019). Authorship Clustering using TF-IDF weighted Word-Embeddings. 24–29. 7 indexed citations
14.
Thakral, Kartik, et al.. (2019). Pneumonia Detection Using CNN based Feature Extraction. 1–7. 266 indexed citations breakdown →

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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