Sourav Bhattacharya
- Computer Vision and Pattern Recognition top 0.5%
- Artificial Intelligence top 1%
- Computer Networks and Communications top 1%
- Electrical and Electronic Engineering top 10%
- Signal Processing top 2%
- Co-authors
- Nicholas D. LaneFahim KawsarPetko GeorgievClaudio ForlivesiMikkel Baun KjærgaardHenrik BlunckPetteri NurmiThor Siiger Prentow
- Topics
- Context-Aware Activity Recognition Systems (21 papers)Interconnection Networks and Systems (12 papers)Human Mobility and Location-Based Analysis (10 papers)
- Partner nations
- United StatesUnited KingdomFinland
In The Last Decade
Sourav Bhattacharya
97 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Computer Vision and Pattern Recognition 1.3k
- Artificial Intelligence 862
- Computer Networks and Communications 832
- Electrical and Electronic Engineering 580
- Signal Processing 299
Countries citing papers authored by Sourav Bhattacharya
This map shows the geographic impact of Sourav Bhattacharya'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 Sourav Bhattacharya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sourav Bhattacharya more than expected).
Fields of papers citing papers by Sourav Bhattacharya
This network shows the impact of papers produced by Sourav Bhattacharya. 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 Sourav Bhattacharya. The network helps show where Sourav Bhattacharya may publish in the future.
Co-authorship network of co-authors of Sourav Bhattacharya
This figure shows the co-authorship network connecting the top 25 collaborators of Sourav Bhattacharya. A scholar is included among the top collaborators of Sourav Bhattacharya based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sourav Bhattacharya. Sourav Bhattacharya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 9 | |
| 5 | DeepX: A Software Accelerator for Low-Power Deep Learning Inference on Mobile Devicesbreakdown → | 295 |
| 6 | 3 | |
| 7 | 3 | |
| 8 | 4 | |
| 9 | Smart devices are different:Assessing and mitigating mobile sensing heterogeneities for activity recognition | 17 |
| 10 | 0 | |
| 11 | 1 | |
| 12 | 43 | |
| 13 | 38 | |
| 14 | 3 | |
| 15 | 5 | |
| 16 | 2 | |
| 17 | 4 | |
| 18 | 2 | |
| 19 | 5 | |
| 20 | Array Covering: A Technique4 for Enabling Lloop Parallelization. | 0 |
About Sourav Bhattacharya
Sourav Bhattacharya is a scholar working on Hardware and Architecture, Computational Mathematics and Transportation, having authored 105 papers that have together received 2.7k indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (21 papers), Interconnection Networks and Systems (12 papers) and Human Mobility and Location-Based Analysis (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.3k citations), Computer Networks and Communications (832 citations) and Transportation (212 citations). Sourav Bhattacharya has collaborated with scholars based in United States, United Kingdom and Finland. Frequent co-authors include Nicholas D. Lane, Fahim Kawsar, Petko Georgiev, Claudio Forlivesi, Mikkel Baun Kjærgaard, Henrik Blunck, Petteri Nurmi, Thor Siiger Prentow, Tobias Sonne and Anind K. Dey. Their work appears in journals such as Strategic Management Journal, Econometrica and Communications of the ACM.
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.