Sudhakar Sengan
- Computer Networks and Communications top 2%
- Artificial Intelligence top 5%
- Electrical and Electronic Engineering
- Information Systems top 5%
- Control and Systems Engineering top 5%
- Co-authors
- Dilip Kumar SharmaV. SubramaniyaswamyLogesh RaviPriya VelayuthamOsamah Ibrahim KhalafP. Vidya SagarPankaj DadheechMeshal Alharbi
- Topics
- COVID-19 diagnosis using AI (9 papers)Blockchain Technology Applications and Security (9 papers)Network Security and Intrusion Detection (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsEnvironmental Pollution
- Partner nations
- IndiaSaudi ArabiaIraq
In The Last Decade
Sudhakar Sengan
104 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 132
- Computer Networks and Communications 451
- Artificial Intelligence 344
- Electrical and Electronic Engineering 306
- Information Systems 233
- Control and Systems Engineering 163
Countries citing papers authored by Sudhakar Sengan
This map shows the geographic impact of Sudhakar Sengan'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 Sudhakar Sengan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sudhakar Sengan more than expected).
Fields of papers citing papers by Sudhakar Sengan
This network shows the impact of papers produced by Sudhakar Sengan. 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 Sudhakar Sengan. The network helps show where Sudhakar Sengan may publish in the future.
Co-authorship network of co-authors of Sudhakar Sengan
This figure shows the co-authorship network connecting the top 25 collaborators of Sudhakar Sengan. A scholar is included among the top collaborators of Sudhakar Sengan 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 Sudhakar Sengan. Sudhakar Sengan 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 | 3 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 6 | |
| 10 | 0 | |
| 11 | 18 | |
| 12 | 18 | |
| 13 | 1 | |
| 14 | 17 | |
| 15 | 18 | |
| 16 | 6 | |
| 17 | 5 | |
| 18 | 7 | |
| 19 | The optimization of reconfigured real-time datasets for improving classification performance of machine learning algorithms | 26 |
| 20 | INVESTIGATION OF ATTRIBUTE AIDED DATA AGGREGATION OVER DYNAMIC ROUTING IN WIRELESS SENSOR NETWORKS | 1 |
About Sudhakar Sengan
Sudhakar Sengan is a scholar working on Computer Vision and Pattern Recognition, Health Information Management and Artificial Intelligence, having authored 121 papers that have together received 1.5k indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (9 papers), Blockchain Technology Applications and Security (9 papers) and Network Security and Intrusion Detection (7 papers). The work is most often cited by research in Computer Networks and Communications (451 citations), Artificial Intelligence (344 citations) and Health Information Management (49 citations). Sudhakar Sengan has collaborated with scholars based in India, Saudi Arabia and Iraq. Frequent co-authors include Dilip Kumar Sharma, V. Subramaniyaswamy, Logesh Ravi, Priya Velayutham, Osamah Ibrahim Khalaf, P. Vidya Sagar, Pankaj Dadheech, Meshal Alharbi, Roy Setiawan and Abolfazl Mehbodniya. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Environmental Pollution.
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.