Ayan Chatterjee

15 papers receiving 307 citations

Ayan Chatterjee's Hit Papers

IoT anomaly detection methods and applications: A survey 2022 · 159 citations
1590+1+2Years since publication50100150

Peers

Ayan Chatterjee
Comparison fields: 5 of 86
  • Signal Processing 44
  • Computer Networks and Communications 92
  • Computational Theory and Mathematics 54
  • Artificial Intelligence 106
  • Management Information Systems 25
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Stylianos Basagiannis Greece
Michael Goebel United States
Kassem Saleh Kuwait
Abdullah Bawakid Spain
Dennis Bahler United States
Danish Ali Khan India
Bodo Manthey Germany
Rahul Hans India
Mohammad Abdallah Jordan
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Citations per year

Countries citing papers authored by Ayan Chatterjee

Since Specialization
Citations

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

Fields of papers citing papers by Ayan Chatterjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Ayan Chatterjee, 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 Chatterjee Line = papers co-authored together Ayan Chatterjee links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1
IoT anomaly detection methods and applications: A survey
Hit paper breakdown →
2022159
2 202383
3 200326
4 20209
5 20048
6 20196
7 20195
8 20225
9 20064
10 20193
11 20223
12 20192
13 20222
14 20241
15 20171
16
Building apps for the universal Windows platform: explore Windows 10 Native, IoT, HoloLens, and Xamarin
20170
17
OPTIMUM MARITIME SAFETY DEMANDS A FOCUS ON PEOPLE
19970
18
Printed Text Character Analysis Version-I: Optical Character Recognition with the new User Training Mechanism
20140
19 20250

About Ayan Chatterjee

Ayan Chatterjee is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Management Information Systems and Biomedical Engineering, having authored 19 papers that have together received 317 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (3 papers), Supply Chain and Inventory Management (2 papers), Remote-Sensing Image Classification (2 papers), Advanced Image Fusion Techniques (2 papers), Advanced Queuing Theory Analysis (1 paper), Optical measurement and interference techniques (1 paper), Sustainable Supply Chain Management (1 paper) and Brain Tumor Detection and Classification (1 paper). The work is most often cited by research in Signal Processing (44 citations), Computer Networks and Communications (92 citations), Computational Theory and Mathematics (54 citations), Artificial Intelligence (106 citations) and Management Information Systems (25 citations). Ayan Chatterjee has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include Bestoun S. Ahmed, Subrata Mitra, Peter Yuen, Albert-László Barabási, Giulia Menichetti, Tina Eliassi‐Rad, Deisy Morselli Gysi, Rose Yu, Robin Walters and József Baranyi. Their work appears in journals such as European Journal of Operational Research, Nature Communications, Internet of Things, Scientific Data and Journal of Imaging.

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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