Anindya Maiti
- Signal Processing top 5%
- Advanced Malware Detection Techniques 9
- Human-Computer Interaction top 5%
- Interactive and Immersive Displays 3
- Information Systems top 5%
- User Authentication and Security Systems 12
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- Context-Aware Activity Recognition Systems 3
- Advanced Steganography and Watermarking Techniques 2
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- Network Security and Intrusion Detection 2
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- Internet Traffic Analysis and Secure E-voting 3
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- Human Mobility and Location-Based Analysis 3
- Co-authors
- Murtuza JadliwalaJwu‐Sheng HuIgor BilogrevicMohammad Hossein ManshaeiVinod NamboodiriAnanda MaitiGreg P. GriffinHeena Rathore
- Journals
- IEEE Access (2 papers)IEEE Transactions on Parallel and Distributed Systems (1 paper)IEEE Transactions on Mobile Computing (1 paper)
- Partner nations
- United StatesIndiaSwitzerland
In The Last Decade
Anindya Maiti
23 papers receiving 299 citations
Peers
Comparison fields: 5 of 46
- Signal Processing 115
- Human-Computer Interaction 58
- Information Systems 173
- Computer Vision and Pattern Recognition 64
- Computer Networks and Communications 71
Countries citing papers authored by Anindya Maiti
This map shows the geographic impact of Anindya Maiti'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 Anindya Maiti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anindya Maiti more than expected).
Fields of papers citing papers by Anindya Maiti
This network shows the impact of papers produced by Anindya Maiti. 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 Anindya Maiti. The network helps show where Anindya Maiti may publish in the future.
Co-authorship network
The 13 scholars most cited alongside Anindya Maiti, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2023 | 0 | |
| 3 | 2022 | 11 | |
| 4 | 2022 | 2 | |
| 5 | 2022 | 1 | |
| 6 | Acoustics to the Rescue: Physical Key Inference Attack Revisited | 2021 | 3 |
| 7 | 2021 | 7 | |
| 8 | 2020 | 1 | |
| 9 | Impact of Urban Micromobility Technology on Pedestrian and Rider Safety: A Field Study Using Pedestrian Crowd-Sensing. | 2019 | 9 |
| 10 | 2019 | 19 | |
| 11 | 2018 | 36 | |
| 12 | 2018 | 8 | |
| 13 | 2018 | 14 | |
| 14 | 2017 | 21 | |
| 15 | RandomPad: Usability of Randomized Mobile Keypads for Defeating Inference Attacks | 2017 | 4 |
| 16 | 2016 | 47 | |
| 17 | 2015 | 46 | |
| 18 | 2014 | 1 | |
| 19 | 2014 | 1 | |
| 20 | 2010 | 3 |
About Anindya Maiti
Anindya Maiti is a scholar working on Signal Processing, Human-Computer Interaction and Information Systems, having authored 26 papers that have together received 308 indexed citations. Recurring topics across this work include User Authentication and Security Systems (12 papers), Advanced Malware Detection Techniques (9 papers), Internet Traffic Analysis and Secure E-voting (3 papers), Interactive and Immersive Displays (3 papers), Context-Aware Activity Recognition Systems (3 papers), Human Mobility and Location-Based Analysis (3 papers), Network Security and Intrusion Detection (2 papers) and Advanced Steganography and Watermarking Techniques (2 papers). The work is most often cited by research in Signal Processing (115 citations), Human-Computer Interaction (58 citations) and Information Systems (173 citations). Anindya Maiti has collaborated with scholars based in United States, India and Switzerland. Frequent co-authors include Murtuza Jadliwala, Jwu‐Sheng Hu, Igor Bilogrevic, Mohammad Hossein Manshaei, Vinod Namboodiri, Ananda Maiti, Greg P. Griffin, Heena Rathore, Abu Asaduzzaman and Sashank Narain. Their work appears in journals such as IEEE Access, IEEE Transactions on Parallel and Distributed Systems and IEEE Transactions on Mobile Computing.
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.