Akhil Mathur

28 papers and 410 indexed citations i.

About

Akhil Mathur is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Akhil Mathur has authored 28 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 8 papers in Signal Processing. Recurrent topics in Akhil Mathur’s work include Context-Aware Activity Recognition Systems (9 papers), Mobile Crowdsensing and Crowdsourcing (5 papers) and Human Pose and Action Recognition (5 papers). Akhil Mathur is often cited by papers focused on Context-Aware Activity Recognition Systems (9 papers), Mobile Crowdsensing and Crowdsourcing (5 papers) and Human Pose and Action Recognition (5 papers). Akhil Mathur collaborates with scholars based in United Kingdom, United States and The Netherlands. Akhil Mathur's co-authors include Fahim Kawsar, Nicholas D. Lane, Chulhong Min, Petko Georgiev, Claudio Forlivesi, Sourav Bhattacharya, Youngjae Chang, Junehwa Song, Alessandro Montanari and Nadia Bianchi‐Berthouze and has published in prestigious journals such as IEEE Transactions on Parallel and Distributed Systems, IEEE Transactions on Mobile Computing and IEEE Pervasive Computing.

In The Last Decade

Co-authorship network of co-authors of Akhil Mathur i

Fields of papers citing papers by Akhil Mathur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Akhil Mathur

Since Specialization
Citations

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).

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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