Ashit Kumar Dutta

139 papers receiving 1.1k citations

Ashit Kumar Dutta's Hit Papers

A Comparison of Pooling Methods for Convolutional Neural Networks 2022 · 204 citations
2040+1+2Years since publication50100150200

Peers

Ashit Kumar Dutta
Comparison fields: 5 of 151
  • Artificial Intelligence 311
  • Health Information Management 41
  • Computer Vision and Pattern Recognition 191
  • Neurology 68
  • Computer Networks and Communications 169
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Citations per year

Countries citing papers authored by Ashit Kumar Dutta

Since Specialization
Citations

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

Fields of papers citing papers by Ashit Kumar Dutta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ashit Kumar Dutta, 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 Ashit Kumar Dutta Line = papers co-authored together Ashit Kumar Dutta links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 165 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A Comparison of Pooling Methods for Convolutional Neural Networks
Hit paper breakdown →
2022204
2 201990
3 202343
4 202141
5 202336
6 202134
7 202332
8 202231
9 202229
10 202225
11 202425
12 202220
13 202218
14 202318
15 202316
16 202216
17 202415
18 202214
19 202112
20 202212

About Ashit Kumar Dutta

Ashit Kumar Dutta is a scholar working on Artificial Intelligence, Computer Networks and Communications, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Information Systems, having authored 165 papers that have together received 1.2k indexed citations. Recurring topics across this work include Brain Tumor Detection and Classification (13 papers), Network Security and Intrusion Detection (11 papers), EEG and Brain-Computer Interfaces (9 papers), AI in cancer detection (8 papers), Advanced Malware Detection Techniques (8 papers), IoT and Edge/Fog Computing (7 papers), Multi-Criteria Decision Making (7 papers) and Anomaly Detection Techniques and Applications (7 papers). The work is most often cited by research in Artificial Intelligence (311 citations), Health Information Management (41 citations), Computer Vision and Pattern Recognition (191 citations), Neurology (68 citations) and Computer Networks and Communications (169 citations). Ashit Kumar Dutta has collaborated with scholars based in Saudi Arabia, India and South Korea. Frequent co-authors include Abdul Rahaman Wahab Sait, Sultan Almotairi, K. Shankar, Arshad Ali, Saman Riaz, Shtwai Alsubai, Abdulrahman Alruban, Nazri Mohd Nawi, Muhammad Aamir and Gyanendra Prasad Joshi. Their work appears in journals such as Computers, materials & continua/Computers, materials & continua (Print), Alexandria Engineering Journal, IEEE Transactions on Consumer Electronics, Case Studies in Thermal Engineering and Scientific Reports.

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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