Kumar Ayush

1.3k total citations
26 papers, 214 citations indexed

About

Kumar Ayush is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Materials Chemistry. According to data from OpenAlex, Kumar Ayush has authored 26 papers receiving a total of 214 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 5 papers in Materials Chemistry. Recurrent topics in Kumar Ayush's work include Generative Adversarial Networks and Image Synthesis (4 papers), Image and Video Quality Assessment (3 papers) and Computer Graphics and Visualization Techniques (2 papers). Kumar Ayush is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (4 papers), Image and Video Quality Assessment (3 papers) and Computer Graphics and Visualization Techniques (2 papers). Kumar Ayush collaborates with scholars based in India and United States. Kumar Ayush's co-authors include Prabir Kumar Biswas, Pabitra Mitra, Balaji Krishnamurthy, Ayush Chopra, Tarak K. Patra, Stefano Ermon, Burak Uzkent, Abhishek Seth, Nakul Jain and Dinesh Kabra and has published in prestigious journals such as The Journal of Physical Chemistry C, Physical Chemistry Chemical Physics and Soft Matter.

In The Last Decade

Kumar Ayush

23 papers receiving 208 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kumar Ayush India 9 85 50 46 34 34 26 214
Shijie Yu China 7 93 1.1× 106 2.1× 40 0.9× 82 2.4× 20 0.6× 17 263
Taeoh Kim South Korea 9 105 1.2× 59 1.2× 13 0.3× 108 3.2× 46 1.4× 36 333
Weizhao Chen China 11 45 0.5× 35 0.7× 51 1.1× 55 1.6× 13 0.4× 27 272
D. Vijayalakshmi India 11 167 2.0× 15 0.3× 53 1.2× 68 2.0× 110 3.2× 27 421
Ruixuan Wang China 9 77 0.9× 85 1.7× 40 0.9× 88 2.6× 24 0.7× 29 272
Yilong Zhang China 12 64 0.8× 20 0.4× 19 0.4× 18 0.5× 38 1.1× 42 334
Anand Deshpande India 9 76 0.9× 80 1.6× 41 0.9× 47 1.4× 11 0.3× 30 284
Liang Song China 9 25 0.3× 77 1.5× 41 0.9× 16 0.5× 7 0.2× 42 242
Dehua Chen China 10 42 0.5× 37 0.7× 41 0.9× 71 2.1× 6 0.2× 52 276
ByungIn Yoo South Korea 9 250 2.9× 32 0.6× 15 0.3× 48 1.4× 11 0.3× 19 360

Countries citing papers authored by Kumar Ayush

Since Specialization
Citations

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

Fields of papers citing papers by Kumar Ayush

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kumar Ayush

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

All Works

20 of 20 papers shown
1.
2.
Ayush, Kumar, et al.. (2025). An explainable ML model for binary LJ fluids. Soft Matter. 21(36). 7100–7109.
3.
Ayush, Kumar, et al.. (2023). Effect of Environmental Stresses on Honeybee Population. International Journal of Environment and Climate Change. 13(8). 2087–2096. 2 indexed citations
4.
Ayush, Kumar. (2023). Design Analysis Approach for Hotel Booking Cancellation Prediction. International Journal for Research in Applied Science and Engineering Technology. 11(6). 824–828.
5.
Ayush, Kumar, et al.. (2023). Predicting the pair correlation functions of silicate and borosilicate glasses using machine learning. Physical Chemistry Chemical Physics. 26(2). 1094–1104. 2 indexed citations
6.
Uzkent, Burak, et al.. (2022). Efficient Conditional Pre-training for Transfer Learning. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 4240–4249. 11 indexed citations
7.
Singh, Prateek Kumar, et al.. (2021). Traffic Light Control System Using Image Processing. Journal of Emerging Technologies and Innovative Research. 8(2). 172-177–172-177. 2 indexed citations
8.
Darapaneni, Narayana, et al.. (2021). Forecasting Vaccination Drive In India for Herd Immunity using SIR and Prophet Model. 21–27. 1 indexed citations
9.
Ayush, Kumar, et al.. (2021). Non-linear Monte Carlo Ray Tracing for Visualizing Warped Spacetime. 76–87. 1 indexed citations
10.
Ayush, Kumar, et al.. (2021). Efficient Poverty Mapping from High Resolution Remote Sensing Images. Proceedings of the AAAI Conference on Artificial Intelligence. 35(1). 12–20. 24 indexed citations
11.
Sinha, Abhishek, Kumar Ayush, Jiaming Song, et al.. (2021). Negative Data Augmentation. arXiv (Cornell University). 2 indexed citations
12.
Kangsabanik, Jiban, Kumar Ayush, Aga Shahee, et al.. (2020). Contrasting temperature dependence of the band gap in CH3NH3PbX3 (X=I, Br, Cl): Insight from lattice dilation and electron-phonon coupling. Physical review. B.. 102(8). 27 indexed citations
13.
Chopra, Ayush, et al.. (2020). Towards a Unified Framework for Visual Compatibility Prediction. 8 indexed citations
14.
Ayush, Kumar, et al.. (2019). Powering Virtual Try-On via Auxiliary Human Segmentation Learning. 3193–3196. 11 indexed citations
15.
16.
Ayush, Kumar & Abhishek Sinha. (2019). Improving classification performance of support vector machines via guided custom kernel search. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 159–160. 3 indexed citations
17.
Chopra, Ayush, et al.. (2019). Powering Robust Fashion Retrieval With Information Rich Feature Embeddings. 2. 326–334. 13 indexed citations
18.
Ayush, Kumar, et al.. (2017). Photophysical Model for Non-Exponential Relaxation Dynamics in Hybrid Perovskite Semiconductors. The Journal of Physical Chemistry C. 122(2). 1119–1124. 13 indexed citations
19.
20.
Ayush, Kumar, et al.. (2013). Real time visual SLAM using cloud computing. 2013 Fourth International Conference on Computing, Communications and Networking Technologies (ICCCNT). 24. 1–7. 6 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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