Akhil Mathur
Impact in
- Human-Computer Interaction top 2%
- Innovative Human-Technology Interaction
-
- Context-Aware Activity Recognition Systems
- Advanced Neural Network Applications
- Human Pose and Action Recognition
Papers in
-
- Context-Aware Activity Recognition Systems 14
- Co-authors
- Fahim Kawsar (46 shared papers)Chulhong Min (16 shared papers)Nicholas D. Lane (16 shared papers)Alessandro Montanari (10 shared papers)Claudio Forlivesi (4 shared papers)Sourav Bhattacharya (4 shared papers)Matthew Kam (4 shared papers)John Canny (4 shared papers)
- Journals
- Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (5 papers)IEEE Pervasive Computing (2 papers)ACM Transactions on Software Engineering and Methodology (1 paper)IEEE Transactions on Parallel and Distributed Systems (1 paper)ACM Transactions on Embedded Computing Systems (1 paper)
- Partner nations
- United KingdomUnited StatesIndia
In The Last Decade
Akhil Mathur
64 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 117
- Human-Computer Interaction 231
- Computer Vision and Pattern Recognition 501
- Computer Science Applications 98
- Signal Processing 143
- Information Systems and Management 80
Countries citing papers authored by Akhil Mathur
This map shows the geographic impact of Akhil Mathur'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 Akhil Mathur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akhil Mathur more than expected).
Fields of papers citing papers by Akhil Mathur
This network shows the impact of papers produced by Akhil Mathur. 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 Akhil Mathur. The network helps show where Akhil Mathur may publish in the future.
Co-authors
The 25 scholars most cited alongside Akhil Mathur, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 144 | |
| 2 | 2017 | 102 | |
| 3 | 2018 | 98 | |
| 4 | 2020 | 85 | |
| 5 | 2008 | 72 | |
| 6 | 2022 | 71 | |
| 7 | 2009 | 62 | |
| 8 | 2018 | 48 | |
| 9 | 2018 | 46 | |
| 10 | 2015 | 45 | |
| 11 | 2019 | 40 | |
| 12 | 2014 | 34 | |
| 13 | 2016 | 33 | |
| 14 | 2009 | 31 | |
| 15 | 2019 | 29 | |
| 16 | 2016 | 29 | |
| 17 | 2021 | 28 | |
| 18 | 2018 | 25 | |
| 19 | 2022 | 23 | |
| 20 | 2021 | 21 |
About Akhil Mathur
Akhil Mathur is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Computer Science Applications and Human-Computer Interaction, having authored 65 papers that have together received 1.3k indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (14 papers), Mobile Crowdsensing and Crowdsourcing (12 papers), ICT in Developing Communities (9 papers), Music and Audio Processing (8 papers), Innovative Human-Technology Interaction (8 papers), Child Development and Digital Technology (7 papers), Speech and Audio Processing (7 papers) and Personal Information Management and User Behavior (6 papers). The work is most often cited by research in Human-Computer Interaction (231 citations), Computer Vision and Pattern Recognition (501 citations), Computer Science Applications (98 citations), Signal Processing (143 citations) and Information Systems and Management (80 citations). Akhil Mathur has collaborated with scholars based in United Kingdom, United States and India. Frequent co-authors include Fahim Kawsar, Chulhong Min, Nicholas D. Lane, Alessandro Montanari, Claudio Forlivesi, Sourav Bhattacharya, Matthew Kam, John Canny, Anuj Kumar and Afra Mashhadi. Their work appears in journals such as Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, IEEE Pervasive Computing, ACM Transactions on Software Engineering and Methodology, IEEE Transactions on Parallel and Distributed Systems and ACM Transactions on Embedded Computing Systems.
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.