Mohit Agarwal
- Artificial Intelligence top 2%
- Signal Processing top 2%
- Computer Networks and Communications top 10%
- Information Systems top 5%
- Computer Vision and Pattern Recognition
- Co-authors
- Ariya RastrowOndřej GlembekKai FengLukáš BurgetMartin KarafiátArnab GhoshalPinar AkyaziRichard C. Rose
- Topics
- IoT and Edge/Fog Computing (7 papers)Cloud Computing and Resource Management (6 papers)Distributed and Parallel Computing Systems (5 papers)
- Journals
- Computers in Biology and MedicineJournal of Ambient Intelligence and Humanized ComputingComputer Speech & Language
- Partner nations
- IndiaUnited StatesGermany
In The Last Decade
Mohit Agarwal
20 papers receiving 605 citations
Peers
Comparison fields: 5 of 67
- Artificial Intelligence 511
- Signal Processing 388
- Computer Networks and Communications 141
- Information Systems 129
- Computer Vision and Pattern Recognition 37
Countries citing papers authored by Mohit Agarwal
This map shows the geographic impact of Mohit Agarwal'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 Mohit Agarwal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohit Agarwal more than expected).
Fields of papers citing papers by Mohit Agarwal
This network shows the impact of papers produced by Mohit Agarwal. 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 Mohit Agarwal. The network helps show where Mohit Agarwal may publish in the future.
Co-authorship network of co-authors of Mohit Agarwal
This figure shows the co-authorship network connecting the top 25 collaborators of Mohit Agarwal. A scholar is included among the top collaborators of Mohit Agarwal 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 Mohit Agarwal. Mohit Agarwal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 48 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 20 | |
| 9 | 5 | |
| 10 | 32 | |
| 11 | 5 | |
| 12 | 2 | |
| 13 | 3 | |
| 14 | 23 | |
| 15 | 34 | |
| 16 | 2 | |
| 17 | 124 | |
| 18 | 210 | |
| 19 | 19 | |
| 20 | 123 |
About Mohit Agarwal
Mohit Agarwal is a scholar working on Signal Processing, Computer Networks and Communications and Artificial Intelligence, having authored 22 papers that have together received 686 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (7 papers), Cloud Computing and Resource Management (6 papers) and Distributed and Parallel Computing Systems (5 papers). The work is most often cited by research in Signal Processing (388 citations), Artificial Intelligence (511 citations) and Computer Networks and Communications (141 citations). Mohit Agarwal has collaborated with scholars based in India, United States and Germany. Frequent co-authors include Ariya Rastrow, Ondřej Glembek, Kai Feng, Lukáš Burget, Martin Karafiát, Arnab Ghoshal, Pinar Akyazi, Richard C. Rose, Petr Schwarz and Samuel Thomas. Their work appears in journals such as Computers in Biology and Medicine, Journal of Ambient Intelligence and Humanized Computing and Computer Speech & Language.
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.