Arun Kejariwal
- Computer Networks and Communications top 5%
- Hardware and Architecture top 5%
- Artificial Intelligence top 10%
- Information Systems top 10%
- Signal Processing top 10%
- Co-authors
- Owen VallisJordan HochenbaumAlexandru NicolauAlexander V. VeidenbaumNikil DuttConstantine D. PolychronopoulosPrabhat MishraXinmin Tian
- Topics
- Parallel Computing and Optimization Techniques (33 papers)Embedded Systems Design Techniques (16 papers)Distributed and Parallel Computing Systems (12 papers)
- Journals
- Proceedings of the VLDB EndowmentACM SIGPLAN NoticesIEEE Transactions on Very Large Scale Integration (VLSI) Systems
- Partner nations
- United StatesUnited KingdomIndia
In The Last Decade
Arun Kejariwal
52 papers receiving 433 citations
Peers
Comparison fields: 5 of 62
- Computer Networks and Communications 285
- Hardware and Architecture 241
- Artificial Intelligence 109
- Information Systems 85
- Signal Processing 58
Countries citing papers authored by Arun Kejariwal
This map shows the geographic impact of Arun Kejariwal'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 Arun Kejariwal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arun Kejariwal more than expected).
Fields of papers citing papers by Arun Kejariwal
This network shows the impact of papers produced by Arun Kejariwal. 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 Arun Kejariwal. The network helps show where Arun Kejariwal may publish in the future.
Co-authorship network of co-authors of Arun Kejariwal
This figure shows the co-authorship network connecting the top 25 collaborators of Arun Kejariwal. A scholar is included among the top collaborators of Arun Kejariwal 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 Arun Kejariwal. Arun Kejariwal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 12 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 2 | |
| 7 | Fast Distributed Training of Deep Neural Networks: Dynamic Communication Thresholding for Model and Data Parallelism. | 4 |
| 8 | 2 | |
| 9 | A novel technique for long-term anomaly detection in the cloud | 86 |
| 10 | 10 | |
| 11 | 7 | |
| 12 | 5 | |
| 13 | 2 | |
| 14 | 18 | |
| 15 | 12 | |
| 16 | 19 | |
| 17 | 2 | |
| 18 | 2 | |
| 19 | 1 | |
| 20 | 19 |
About Arun Kejariwal
Arun Kejariwal is a scholar working on Hardware and Architecture, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 52 papers that have together received 462 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (33 papers), Embedded Systems Design Techniques (16 papers) and Distributed and Parallel Computing Systems (12 papers). The work is most often cited by research in Hardware and Architecture (241 citations), Computer Networks and Communications (285 citations) and Signal Processing (58 citations). Arun Kejariwal has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Owen Vallis, Jordan Hochenbaum, Alexandru Nicolau, Alexander V. Veidenbaum, Nikil Dutt, Constantine D. Polychronopoulos, Prabhat Mishra, Xinmin Tian, Utpal Banerjee and Milind Girkar. Their work appears in journals such as Proceedings of the VLDB Endowment, ACM SIGPLAN Notices and IEEE Transactions on Very Large Scale Integration (VLSI) 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.