Ankesh Anand

1.5k total citations
6 papers, 51 citations indexed

About

Ankesh Anand is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Ankesh Anand has authored 6 papers receiving a total of 51 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 1 paper in Information Systems. Recurrent topics in Ankesh Anand's work include Generative Adversarial Networks and Image Synthesis (2 papers), Digital Media Forensic Detection (2 papers) and Advanced Image Processing Techniques (2 papers). Ankesh Anand is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (2 papers), Digital Media Forensic Detection (2 papers) and Advanced Image Processing Techniques (2 papers). Ankesh Anand collaborates with scholars based in United States, India and South Korea. Ankesh Anand's co-authors include Tanmoy Chakraborty, Noseong Park, Bei-Tseng Chu, Kookjin Lee, Hong‐Kyu Park, David K. Park, Jaegul Choo, Youngmin Kim, Aleksandra Faust and Azade Nova and has published in prestigious journals such as HAL (Le Centre pour la Communication Scientifique Directe) and arXiv (Cornell University).

In The Last Decade

Ankesh Anand

5 papers receiving 47 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ankesh Anand United States	4	32	21	17	15	9	6	51
Karan Malik India	3	31 1.0×	11 0.5×	12 0.7×	13 0.9×	12 1.3×	4	75
Terry Yue Zhuo Australia	6	59 1.8×	17 0.8×	12 0.7×	19 1.3×	6 0.7×	13	82
Smita Nirkhi India	5	60 1.9×	52 2.5×	20 1.2×	10 0.7×	6 0.7×	13	86
Donna Dodson United States	5	20 0.6×	44 2.1×	28 1.6×	19 1.3×	13 1.4×	10	70
Tsutomu Matsumoto Japan	2	27 0.8×	21 1.0×	20 1.2×	3 0.2×	13 1.4×	5	48
Alex Davidson United Kingdom	4	60 1.9×	20 1.0×	7 0.4×	5 0.3×	13 1.4×	8	77
Noah Fiedel	2	29 0.9×	9 0.4×	7 0.4×	11 0.7×	4 0.4×	2	52
Sunhao Dai China	5	39 1.2×	35 1.7×	5 0.3×	9 0.6×	5 0.6×	15	67
Anton Mityagin United States	5	41 1.3×	24 1.1×	6 0.4×	16 1.1×	13 1.4×	8	70
Marek Wydmuch Poland	4	71 2.2×	9 0.4×	8 0.5×	15 1.0×	4 0.4×	6	81

Countries citing papers authored by Ankesh Anand

Since Specialization

Citations

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

Fields of papers citing papers by Ankesh Anand

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ankesh Anand

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

All Works

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6 of 6 papers shown

1.

Abbas, Zaheer, Rishabh Agarwal, Ankesh Anand, et al.. (2024). Many-Shot In-Context Learning. 76930–76966.

2.

Anand, Ankesh. (2020). Contrastive Self-Supervised Learning. 7 indexed citations

3.

Perez, Ethan, Ankesh Anand, Florian Golemo, et al.. (2018). HoME: a Household Multimodal Environment.. HAL (Le Centre pour la Communication Scientifique Directe). 3 indexed citations

4.

Park, Noseong, Ankesh Anand, Kookjin Lee, et al.. (2018). MMGAN: Manifold-Matching Generative Adversarial Networks. 1343–1348. 7 indexed citations

5.

Anand, Ankesh, et al.. (2018). Phishing URL Detection with Oversampling based on Text Generative Adversarial Networks. 1168–1177. 32 indexed citations

6.

Park, Noseong, Ankesh Anand, Kookjin Lee, et al.. (2017). MMGAN: Manifold Matching Generative Adversarial Network for Generating Images.. arXiv (Cornell University). 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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