Ayan Acharya

692 total citations
20 papers, 359 citations indexed

About

Ayan Acharya is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Ayan Acharya has authored 20 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 3 papers in Signal Processing. Recurrent topics in Ayan Acharya's work include Metaheuristic Optimization Algorithms Research (5 papers), Face and Expression Recognition (3 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Ayan Acharya is often cited by papers focused on Metaheuristic Optimization Algorithms Research (5 papers), Face and Expression Recognition (3 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Ayan Acharya collaborates with scholars based in United States, India and Brazil. Ayan Acharya's co-authors include Joydeep Ghosh, Amit Konar, Eduardo R. Hruschka, R. Janarthanan, Luiz F.S. Coletta, Moacir Antonelli Ponti, Mingyuan Zhou, Raymond J. Mooney, A. Banerjee and Abhishek Bhattacharyya and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neurocomputing and IEEE Transactions on Visualization and Computer Graphics.

In The Last Decade

Ayan Acharya

19 papers receiving 336 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ayan Acharya United States 9 181 100 87 52 33 20 359
Tim Pattison Australia 8 227 1.3× 55 0.6× 93 1.1× 89 1.7× 14 0.4× 18 381
Jianeng Tang China 13 139 0.8× 27 0.3× 280 3.2× 36 0.7× 21 0.6× 43 448
Arvind Dhaka India 10 89 0.5× 37 0.4× 169 1.9× 44 0.8× 5 0.2× 48 375
Ken Ferens Canada 10 76 0.4× 28 0.3× 29 0.3× 53 1.0× 9 0.3× 55 302
Sheng-Wei Tsai Taiwan 6 217 1.2× 51 0.5× 63 0.7× 22 0.4× 41 1.2× 7 322
Shi Chang-qiong China 5 70 0.4× 34 0.3× 186 2.1× 95 1.8× 22 0.7× 7 411
Waleed Yamany Egypt 10 225 1.2× 47 0.5× 48 0.6× 61 1.2× 12 0.4× 11 330
Yujing Feng China 6 201 1.1× 19 0.2× 164 1.9× 126 2.4× 9 0.3× 26 390

Countries citing papers authored by Ayan Acharya

Since Specialization
Citations

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

Fields of papers citing papers by Ayan Acharya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ayan Acharya

This figure shows the co-authorship network connecting the top 25 collaborators of Ayan Acharya. A scholar is included among the top collaborators of Ayan Acharya 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 Ayan Acharya. Ayan Acharya 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.
Dutta, Soumya, et al.. (2024). Visual Analysis of Prediction Uncertainty in Neural Networks for Deep Image Synthesis. IEEE Transactions on Visualization and Computer Graphics. 31(9). 4534–4546. 1 indexed citations
2.
Coletta, Luiz F.S., Moacir Antonelli Ponti, Eduardo R. Hruschka, Ayan Acharya, & Joydeep Ghosh. (2019). Combining clustering and active learning for the detection and learning of new image classes. Neurocomputing. 358. 150–165. 24 indexed citations
3.
Acharya, Ayan, Joydeep Ghosh, & Mingyuan Zhou. (2018). A Dual Markov Chain Topic Model for Dynamic Environments. 1099–1108. 4 indexed citations
4.
Acharya, Ayan, Joydeep Ghosh, & Mingyuan Zhou. (2015). Nonparametric Bayesian Factor Analysis for Dynamic Count Matrices. International Conference on Artificial Intelligence and Statistics. 38. 1–9. 9 indexed citations
5.
Coletta, Luiz F.S., Eduardo R. Hruschka, Ayan Acharya, & Joydeep Ghosh. (2015). A differential evolution algorithm to optimise the combination of classifier and cluster ensembles. International Journal of Bio-Inspired Computation. 7(2). 111–111. 11 indexed citations
6.
Acharya, Ayan, et al.. (2015). Nonparametric Poisson Factorization Machine. 967–972. 1 indexed citations
7.
Sahani, Mrutyunjaya, et al.. (2015). Modified color histogram equalization with variable enhancement degree for restoration of skin color. 616–621. 5 indexed citations
8.
Coletta, Luiz F.S., Eduardo R. Hruschka, Ayan Acharya, & Joydeep Ghosh. (2015). Using metaheuristics to optimize the combination of classifier and cluster ensembles. Integrated Computer-Aided Engineering. 22(3). 229–242. 28 indexed citations
9.
Acharya, Ayan, et al.. (2014). An Optimization Framework for Combining Ensembles of Classifiers and Clusterers with Applications to Nontransductive Semisupervised Learning and Transfer Learning. ACM Transactions on Knowledge Discovery from Data. 9(1). 1–35. 18 indexed citations
10.
Acharya, Ayan, Raymond J. Mooney, & Joydeep Ghosh. (2014). Active Multitask Learning Using Both Latent and Supervised Shared Topics. 190–198. 10 indexed citations
11.
Coletta, Luiz F.S., Eduardo R. Hruschka, Ayan Acharya, & Joydeep Ghosh. (2013). Towards the Use of Metaheuristics for Optimizing the Combination of Classifier and Cluster Ensembles. 7. 483–488. 1 indexed citations
12.
Acharya, Ayan, Jangwon Lee, & An Chen. (2012). Real Time Car Detection and Tracking in Mobile Devices. 26. 239–240. 3 indexed citations
13.
Acharya, Ayan, et al.. (2011). Transfer Learning with Cluster Ensembles.. International Conference on Machine Learning. 123–132. 5 indexed citations
14.
Ghosh, Joydeep & Ayan Acharya. (2011). Cluster ensembles. Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery. 1(4). 305–315. 124 indexed citations
15.
Bhattacharyya, Abhishek, et al.. (2009). Energy Efficient Data Gathering Schemes in Wireless Sensor Networks Using Ant Colony Optimization. SHILAP Revista de lepidopterología. 3 indexed citations
16.
Acharya, Ayan, et al.. (2008). Design of a fractional-order self-tuning regulator using optimization algorithms. 470–475. 10 indexed citations
17.
Acharya, Ayan, et al.. (2008). Tuning PID and PI/λDδ Controllers using the Integral Time Absolute Error Criterion. 457–462. 94 indexed citations
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20.
Acharya, Ayan, et al.. (2008). Fast and Efficient Circle Detection Schemes for Digital Image. 128–133. 3 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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