Sushil Kumar Singh
- Computer Networks and Communications top 2%
- Information Systems top 1%
- Artificial Intelligence top 5%
- Electrical and Electronic Engineering
- Signal Processing top 5%
- Co-authors
- Jong Hyuk ParkShailendra RathoreYi PanYoung‐Sik JeongGeorge VargheseFlavio BonomiMichael MitzenmacherAbir El Azzaoui
- Topics
- Blockchain Technology Applications and Security (18 papers)IoT and Edge/Fog Computing (16 papers)Network Security and Intrusion Detection (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaAnnals of Internal MedicineIEEE Access
- Partner nations
- South KoreaIndiaUnited States
In The Last Decade
Sushil Kumar Singh
50 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Computer Networks and Communications 793
- Information Systems 652
- Artificial Intelligence 383
- Electrical and Electronic Engineering 214
- Signal Processing 108
Countries citing papers authored by Sushil Kumar Singh
This map shows the geographic impact of Sushil Kumar Singh'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 Sushil Kumar Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sushil Kumar Singh more than expected).
Fields of papers citing papers by Sushil Kumar Singh
This network shows the impact of papers produced by Sushil Kumar Singh. 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 Sushil Kumar Singh. The network helps show where Sushil Kumar Singh may publish in the future.
Co-authorship network of co-authors of Sushil Kumar Singh
This figure shows the co-authorship network connecting the top 25 collaborators of Sushil Kumar Singh. A scholar is included among the top collaborators of Sushil Kumar Singh 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 Sushil Kumar Singh. Sushil Kumar Singh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 11 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | Energy‐Efficient Resource Allocation for Urban Traffic Flow Prediction in Edge‐Cloud Computingbreakdown → | 22 |
| 6 | 0 | |
| 7 | 6 | |
| 8 | 3 | |
| 9 | 24 | |
| 10 | 4 | |
| 11 | 11 | |
| 12 | 9 | |
| 13 | 13 | |
| 14 | 18 | |
| 15 | Cyber-Crime and Digital Forensic: Challenges Resolution | 0 |
| 16 | 32 | |
| 17 | 56 | |
| 18 | 36 | |
| 19 | 1 | |
| 20 | 28 |
About Sushil Kumar Singh
Sushil Kumar Singh is a scholar working on Information Systems, Computer Networks and Communications and Horticulture, having authored 57 papers that have together received 1.6k indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (18 papers), IoT and Edge/Fog Computing (16 papers) and Network Security and Intrusion Detection (9 papers). The work is most often cited by research in Computer Networks and Communications (793 citations), Information Systems (652 citations) and Health Informatics (18 citations). Sushil Kumar Singh has collaborated with scholars based in South Korea, India and United States. Frequent co-authors include Jong Hyuk Park, Shailendra Rathore, Yi Pan, Young‐Sik Jeong, George Varghese, Flavio Bonomi, Michael Mitzenmacher, Abir El Azzaoui, John K. Erban and Mark H. Eckman. Their work appears in journals such as SHILAP Revista de lepidopterología, Annals of Internal Medicine and IEEE Access.
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.