Ayan Acharya

696 citations
20 papers · 362 · h-index 9

Impact in

Papers in

    • Metaheuristic Optimization Algorithms Research 5
    • Domain Adaptation and Few-Shot Learning 3
    • Advanced Clustering Algorithms Research 2
    • Face and Expression Recognition 3
    • Medical Image Segmentation Techniques 2
    • Image and Object Detection Techniques 2

Ayan Acharya

19 papers receiving 341 citations

Peers

Ayan Acharya
Comparison fields: 5 of 82
  • Artificial Intelligence 179
  • Computational Mathematics 3
  • Modeling and Simulation 22
  • Computer Vision and Pattern Recognition 88
  • Control and Systems Engineering 99
Replace Arvind Dhaka with:
Arvind Dhaka India
Amita Nandal India
Tim Pattison Australia
Marjan Abdechiri Iran
Marwan Al‐Akaidi United Kingdom
Ken Ferens Canada
Shibing Zhang China
Waleed Yamany Egypt
Gangquan Si China
Ayan Acharya relative to Arvind Dhaka India Arvind Dhaka's profile →
Citations per field
00.5×10×14.7×
Arvind Dhaka · 1×
Citations per year

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-authors

The 16 scholars most cited alongside Ayan Acharya, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ayan Acharya Line = papers co-authored together Ayan Acharya links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2011125
2 200895
3 201528
4 201925
5 201418
6 201511
7 200810
8 201410
9
Nonparametric Bayesian Factor Analysis for Dynamic Count Matrices
20159
10
Transfer Learning with Cluster Ensembles.
20115
11 20155
12 20184
13 20084
14
Energy Efficient Data Gathering Schemes in Wireless Sensor Networks Using Ant Colony Optimization
20093
15 20083
16 20123
17 20081
18 20131
19 20151
20 20241

About Ayan Acharya

Ayan Acharya is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Control and Systems Engineering and Computer Networks and Communications, having authored 20 papers that have together received 362 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (5 papers), Face and Expression Recognition (3 papers), Domain Adaptation and Few-Shot Learning (3 papers), Advanced Clustering Algorithms Research (2 papers), Medical Image Segmentation Techniques (2 papers), Advanced Control Systems Design (2 papers), Image and Object Detection Techniques (2 papers) and Data Management and Algorithms (2 papers). The work is most often cited by research in Artificial Intelligence (179 citations), Computational Mathematics (3 citations), Modeling and Simulation (22 citations), Computer Vision and Pattern Recognition (88 citations) and Control and Systems Engineering (99 citations). Ayan Acharya has collaborated with scholars based in United States, India and Brazil. Frequent 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 An Chen. Their work appears in journals such as ACM Transactions on Knowledge Discovery from Data, IEEE Transactions on Visualization and Computer Graphics, Neurocomputing, Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery and Integrated Computer-Aided Engineering.

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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