S. S. Reddi
- Industrial and Manufacturing Engineering top 2%
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 5%
- Computer Networks and Communications top 10%
- Electrical and Electronic Engineering
- Topics
- Direction-of-Arrival Estimation Techniques (5 papers)Scheduling and Optimization Algorithms (5 papers)Advanced Manufacturing and Logistics Optimization (4 papers)
- Cited by
- Industrial and Manufacturing EngineeringSignal ProcessingComputer Vision and Pattern Recognition
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceManagement ScienceProceedings of the IEEE
- Partner nations
- United StatesGermanyJapan
In The Last Decade
S. S. Reddi
16 papers receiving 668 citations
Peers
Comparison fields: 5 of 80
- Industrial and Manufacturing Engineering 257
- Computer Vision and Pattern Recognition 226
- Signal Processing 171
- Computer Networks and Communications 79
- Electrical and Electronic Engineering 70
Countries citing papers authored by S. S. Reddi
This map shows the geographic impact of S. S. Reddi'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. S. Reddi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. S. Reddi more than expected).
Fields of papers citing papers by S. S. Reddi
This network shows the impact of papers produced by S. S. Reddi. 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. S. Reddi. The network helps show where S. S. Reddi may publish in the future.
Co-authorship network of co-authors of S. S. Reddi
This figure shows the co-authorship network connecting the top 25 collaborators of S. S. Reddi. A scholar is included among the top collaborators of S. S. Reddi 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. S. Reddi. S. S. Reddi 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 | 9 | |
| 3 | 1 | |
| 4 | 157 | |
| 5 | 16 | |
| 6 | 9 | |
| 7 | 1 | |
| 8 | 102 | |
| 9 | 152 | |
| 10 | 1 | |
| 11 | 13 | |
| 12 | 8 | |
| 13 | 18 | |
| 14 | 7 | |
| 15 | An Approach to Restrcturable Computer Systems | 2 |
| 16 | 38 | |
| 17 | 188 |
About S. S. Reddi
S. S. Reddi is a scholar working on Signal Processing, Industrial and Manufacturing Engineering and Computer Vision and Pattern Recognition, having authored 17 papers that have together received 731 indexed citations. Recurring topics across this work include Direction-of-Arrival Estimation Techniques (5 papers), Scheduling and Optimization Algorithms (5 papers) and Advanced Manufacturing and Logistics Optimization (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (257 citations), Signal Processing (171 citations) and Computer Vision and Pattern Recognition (226 citations). S. S. Reddi has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include C. V. Ramamoorthy, Jatinder N.D. Gupta and Alex B. Gershman. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Management Science and Proceedings of the IEEE.
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.