Ravi Reddy Manumachu
- Hardware and Architecture top 5%
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Electrical and Electronic Engineering
- Artificial Intelligence
- Co-authors
- Alexey LastovetskyArsalan ShahidPedro AlonsoLaura RicciThomas GruberEmmanuel JeannotDora B. HerasD. Schwamborn
- Topics
- Parallel Computing and Optimization Techniques (27 papers)Cloud Computing and Resource Management (17 papers)Distributed and Parallel Computing Systems (15 papers)
- Partner nations
- IrelandSpainUnited Kingdom
In The Last Decade
Ravi Reddy Manumachu
29 papers receiving 319 citations
Peers
Comparison fields: 5 of 42
- Hardware and Architecture 221
- Computer Networks and Communications 216
- Information Systems 168
- Electrical and Electronic Engineering 72
- Artificial Intelligence 26
Countries citing papers authored by Ravi Reddy Manumachu
This map shows the geographic impact of Ravi Reddy Manumachu'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 Ravi Reddy Manumachu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ravi Reddy Manumachu more than expected).
Fields of papers citing papers by Ravi Reddy Manumachu
This network shows the impact of papers produced by Ravi Reddy Manumachu. 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 Ravi Reddy Manumachu. The network helps show where Ravi Reddy Manumachu may publish in the future.
Co-authorship network of co-authors of Ravi Reddy Manumachu
This figure shows the co-authorship network connecting the top 25 collaborators of Ravi Reddy Manumachu. A scholar is included among the top collaborators of Ravi Reddy Manumachu 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 Ravi Reddy Manumachu. Ravi Reddy Manumachu 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 | 2 | |
| 3 | 5 | |
| 4 | 6 | |
| 5 | 9 | |
| 6 | 11 | |
| 7 | 1 | |
| 8 | 8 | |
| 9 | 4 | |
| 10 | 5 | |
| 11 | 33 | |
| 12 | 44 | |
| 13 | 10 | |
| 14 | 30 | |
| 15 | 2 | |
| 16 | 8 | |
| 17 | 9 | |
| 18 | 40 | |
| 19 | 41 | |
| 20 | 2 |
About Ravi Reddy Manumachu
Ravi Reddy Manumachu is a scholar working on Hardware and Architecture, Computer Networks and Communications and Information Systems, having authored 30 papers that have together received 332 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (27 papers), Cloud Computing and Resource Management (17 papers) and Distributed and Parallel Computing Systems (15 papers). The work is most often cited by research in Hardware and Architecture (221 citations), Computer Networks and Communications (216 citations) and Information Systems (168 citations). Ravi Reddy Manumachu has collaborated with scholars based in Ireland, Spain and United Kingdom. Frequent co-authors include Alexey Lastovetsky, Arsalan Shahid, Pedro Alonso, Laura Ricci, Thomas Gruber, Emmanuel Jeannot, Dora B. Heras, D. Schwamborn, Stephen L. Scott and Mahendra K. Verma. Their work appears in journals such as Applied Energy, IEEE Access and ACM Computing Surveys.
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.