Anindya Das Antar
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- Context-Aware Activity Recognition Systems 10
- Human Pose and Action Recognition 2
- Human-Computer Interaction top 10%
- Hand Gesture Recognition Systems 1
- Transportation top 10%
- Human Mobility and Location-Based Analysis 4
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- Gait Recognition and Analysis 4
- Non-Invasive Vital Sign Monitoring 2
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- IoT and GPS-based Vehicle Safety Systems 2
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- IoT and Edge/Fog Computing 1
- Co-authors
- Md Atiqur Rahman AhadMasud AhmedYasushi YagiYasushi MakiharaSozo InoueTahera HossainDaigo MuramatsuTrung Thanh Ngo
- Journals
- Sensors (1 paper)Pattern Recognition Letters (3 papers)ACM Transactions on Computer-Human Interaction (1 paper)
- Partner nations
- BangladeshUnited StatesJapan
In The Last Decade
Anindya Das Antar
16 papers receiving 305 citations
Peers
Comparison fields: 5 of 67
- Computer Vision and Pattern Recognition 231
- Human-Computer Interaction 40
- Transportation 42
- Artificial Intelligence 90
- Biomedical Engineering 114
Countries citing papers authored by Anindya Das Antar
This map shows the geographic impact of Anindya Das Antar'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 Das Antar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anindya Das Antar more than expected).
Fields of papers citing papers by Anindya Das Antar
This network shows the impact of papers produced by Anindya Das Antar. 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 Das Antar. The network helps show where Anindya Das Antar may publish in the future.
Co-authorship network
The 15 scholars most cited alongside Anindya Das Antar, 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 | 2025 | 2 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 6 | |
| 4 | 2022 | 4 | |
| 5 | 2021 | 42 | |
| 6 | 2021 | 9 | |
| 7 | 2021 | 6 | |
| 8 | 2020 | 39 | |
| 9 | 2020 | 31 | |
| 10 | 2020 | 12 | |
| 11 | Vision-based Action Understanding for Assistive Healthcare: A Short Review | 2019 | 24 |
| 12 | 2019 | 78 | |
| 13 | 2019 | 11 | |
| 14 | 2019 | 9 | |
| 15 | 2019 | 14 | |
| 16 | 2018 | 30 |
About Anindya Das Antar
Anindya Das Antar is a scholar working on Transportation, Computer Vision and Pattern Recognition and Software, having authored 16 papers that have together received 318 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (10 papers), Gait Recognition and Analysis (4 papers), Human Mobility and Location-Based Analysis (4 papers), IoT and GPS-based Vehicle Safety Systems (2 papers), Non-Invasive Vital Sign Monitoring (2 papers), Human Pose and Action Recognition (2 papers), IoT and Edge/Fog Computing (1 paper) and Hand Gesture Recognition Systems (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (231 citations), Human-Computer Interaction (40 citations) and Transportation (42 citations). Anindya Das Antar has collaborated with scholars based in Bangladesh, United States and Japan. Frequent co-authors include Md Atiqur Rahman Ahad, Masud Ahmed, Yasushi Yagi, Yasushi Makihara, Sozo Inoue, Tahera Hossain, Daigo Muramatsu, Trung Thanh Ngo, Nikola Banović and Anna L. Kratz. Their work appears in journals such as Sensors, Pattern Recognition Letters and ACM Transactions on Computer-Human Interaction.
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.