S. D. Madhu Kumar
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Sociology and Political Science
- Co-authors
- Umesh BellurPriya ChandranV. K. GovindanK. A. Abdul NazeerM. P. SebastianLillykutty JacobAlfredo CuzzocreaUnnikrishnan Payyappallimana
- Topics
- Cloud Computing and Resource Management (30 papers)Caching and Content Delivery (21 papers)IoT and Edge/Fog Computing (15 papers)
- Journals
- Expert Systems with ApplicationsArtificial Intelligence ReviewEngineering Applications of Artificial Intelligence
- Partner nations
- IndiaItalyUnited States
In The Last Decade
S. D. Madhu Kumar
60 papers receiving 426 citations
Peers
Comparison fields: 5 of 71
- Computer Networks and Communications 271
- Information Systems 223
- Artificial Intelligence 111
- Computer Vision and Pattern Recognition 67
- Sociology and Political Science 38
Countries citing papers authored by S. D. Madhu Kumar
This map shows the geographic impact of S. D. Madhu Kumar'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 S. D. Madhu Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. D. Madhu Kumar more than expected).
Fields of papers citing papers by S. D. Madhu Kumar
This network shows the impact of papers produced by S. D. Madhu Kumar. 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 S. D. Madhu Kumar. The network helps show where S. D. Madhu Kumar may publish in the future.
Co-authorship network of co-authors of S. D. Madhu Kumar
This figure shows the co-authorship network connecting the top 25 collaborators of S. D. Madhu Kumar. A scholar is included among the top collaborators of S. D. Madhu Kumar 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 S. D. Madhu Kumar. S. D. Madhu Kumar 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 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 2 | |
| 10 | 6 | |
| 11 | 1 | |
| 12 | 26 | |
| 13 | 7 | |
| 14 | 3 | |
| 15 | 1 | |
| 16 | 11 | |
| 17 | 2 | |
| 18 | An Efficient Index based Query handling model for Neo4j | 4 |
| 19 | 9 | |
| 20 | 9 |
About S. D. Madhu Kumar
S. D. Madhu Kumar is a scholar working on Computer Networks and Communications, Information Systems and Health Informatics, having authored 68 papers that have together received 459 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (30 papers), Caching and Content Delivery (21 papers) and IoT and Edge/Fog Computing (15 papers). The work is most often cited by research in Computer Networks and Communications (271 citations), Information Systems (223 citations) and Artificial Intelligence (111 citations). S. D. Madhu Kumar has collaborated with scholars based in India, Italy and United States. Frequent co-authors include Umesh Bellur, Priya Chandran, V. K. Govindan, K. A. Abdul Nazeer, M. P. Sebastian, Lillykutty Jacob, Alfredo Cuzzocrea, Unnikrishnan Payyappallimana, Prantik Howlader and K.S. Arun. Their work appears in journals such as Expert Systems with Applications, Artificial Intelligence Review and Engineering Applications of Artificial Intelligence.
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.