Sumarga Kumar Sah Tyagi
- Computer Networks and Communications top 5%
- Information Systems top 2%
- Electrical and Electronic Engineering
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Amrit MukherjeeWang DahuPengcheng WeiNeeraj KumarYu ZhaoDeepak Kumar JainSherali ZeadallySubhas Chandra Mukhopadhyay
- Topics
- IoT and Edge/Fog Computing (6 papers)Distributed and Parallel Computing Systems (3 papers)Advanced MIMO Systems Optimization (3 papers)
In The Last Decade
Sumarga Kumar Sah Tyagi
18 papers receiving 661 citations
Peers
Comparison fields: 5 of 87
- Computer Networks and Communications 337
- Information Systems 277
- Electrical and Electronic Engineering 190
- Artificial Intelligence 152
- Computer Vision and Pattern Recognition 71
Countries citing papers authored by Sumarga Kumar Sah Tyagi
This map shows the geographic impact of Sumarga Kumar Sah Tyagi'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 Sumarga Kumar Sah Tyagi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sumarga Kumar Sah Tyagi more than expected).
Fields of papers citing papers by Sumarga Kumar Sah Tyagi
This network shows the impact of papers produced by Sumarga Kumar Sah Tyagi. 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 Sumarga Kumar Sah Tyagi. The network helps show where Sumarga Kumar Sah Tyagi may publish in the future.
Co-authorship network of co-authors of Sumarga Kumar Sah Tyagi
This figure shows the co-authorship network connecting the top 25 collaborators of Sumarga Kumar Sah Tyagi. A scholar is included among the top collaborators of Sumarga Kumar Sah Tyagi 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 Sumarga Kumar Sah Tyagi. Sumarga Kumar Sah Tyagi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 49 | |
| 2 | 4 | |
| 3 | 2 | |
| 4 | 10 | |
| 5 | 10 | |
| 6 | 98 | |
| 7 | 143 | |
| 8 | 15 | |
| 9 | 16 | |
| 10 | 38 | |
| 11 | 62 | |
| 12 | 23 | |
| 13 | 164 | |
| 14 | 45 | |
| 15 | 11 | |
| 16 | 5 | |
| 17 | 6 | |
| 18 | 13 |
About Sumarga Kumar Sah Tyagi
Sumarga Kumar Sah Tyagi is a scholar working on Computer Networks and Communications, Information Systems and Hardware and Architecture, having authored 18 papers that have together received 714 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (6 papers), Distributed and Parallel Computing Systems (3 papers) and Advanced MIMO Systems Optimization (3 papers). The work is most often cited by research in Computer Networks and Communications (337 citations), Information Systems (277 citations) and Artificial Intelligence (152 citations). Sumarga Kumar Sah Tyagi has collaborated with scholars based in China, India and Australia. Frequent co-authors include Amrit Mukherjee, Wang Dahu, Pengcheng Wei, Neeraj Kumar, Yu Zhao, Deepak Kumar Jain, Sherali Zeadally, Subhas Chandra Mukhopadhyay, Nagender Kumar Suryadevara and Fabio Scotti. Their work appears in journals such as IEEE Transactions on Industrial Informatics, IEEE Internet of Things Journal and Future Generation Computer 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.