Kaushik Mishra
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Electrical and Electronic Engineering
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Co-authors
- Santosh Kumar MajhiRosy PradhanChinmay ChakrabortyHemanta Kumar BhuyanAmir H. GandomiGurpreet Singh ChhabraSandeep Kumar PandaSubhranshu Sekhar Tripathy
- Topics
- IoT and Edge/Fog Computing (18 papers)Cloud Computing and Resource Management (15 papers)Distributed and Parallel Computing Systems (4 papers)
In The Last Decade
Kaushik Mishra
27 papers receiving 319 citations
Peers
Comparison fields: 5 of 43
- Computer Networks and Communications 252
- Information Systems 203
- Electrical and Electronic Engineering 56
- Artificial Intelligence 55
- Computer Vision and Pattern Recognition 39
Countries citing papers authored by Kaushik Mishra
This map shows the geographic impact of Kaushik Mishra'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 Kaushik Mishra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaushik Mishra more than expected).
Fields of papers citing papers by Kaushik Mishra
This network shows the impact of papers produced by Kaushik Mishra. 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 Kaushik Mishra. The network helps show where Kaushik Mishra may publish in the future.
Co-authorship network of co-authors of Kaushik Mishra
This figure shows the co-authorship network connecting the top 25 collaborators of Kaushik Mishra. A scholar is included among the top collaborators of Kaushik Mishra 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 Kaushik Mishra. Kaushik Mishra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 6 | |
| 8 | 27 | |
| 9 | 0 | |
| 10 | 21 | |
| 11 | 4 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 7 | |
| 15 | 1 | |
| 16 | 25 | |
| 17 | 54 | |
| 18 | 34 | |
| 19 | 25 | |
| 20 | 3 |
About Kaushik Mishra
Kaushik Mishra is a scholar working on Computer Networks and Communications, Information Systems and Building and Construction, having authored 32 papers that have together received 330 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (18 papers), Cloud Computing and Resource Management (15 papers) and Distributed and Parallel Computing Systems (4 papers). The work is most often cited by research in Computer Networks and Communications (252 citations), Information Systems (203 citations) and Computer Vision and Pattern Recognition (39 citations). Kaushik Mishra has collaborated with scholars based in India, Australia and Hungary. Frequent co-authors include Santosh Kumar Majhi, Rosy Pradhan, Chinmay Chakraborty, Hemanta Kumar Bhuyan, Amir H. Gandomi, Gurpreet Singh Chhabra, Sandeep Kumar Panda, Subhranshu Sekhar Tripathy, Diptendu Sinha Roy and Rabindra K. Barik. Their work appears in journals such as Scientific Reports, IEEE Access and IEEE Transactions on Intelligent Transportation 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.