Srihari Makineni
- Computer Networks and Communications top 1%
- Hardware and Architecture top 0.5%
- Information Systems top 1%
- Electrical and Electronic Engineering
- Artificial Intelligence
- Co-authors
- Ravishankar IyerDon NewellLi ZhaoLisa HsuRavi IyerRamesh IllikkalYan SolihinDonald Newell
- Topics
- Parallel Computing and Optimization Techniques (21 papers)Advanced Data Storage Technologies (19 papers)Interconnection Networks and Systems (12 papers)
- Partner nations
- United StatesUnited KingdomIndia
In The Last Decade
Srihari Makineni
28 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 24
- Computer Networks and Communications 1.1k
- Hardware and Architecture 945
- Information Systems 469
- Electrical and Electronic Engineering 204
- Artificial Intelligence 57
Countries citing papers authored by Srihari Makineni
This map shows the geographic impact of Srihari Makineni'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 Srihari Makineni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Srihari Makineni more than expected).
Fields of papers citing papers by Srihari Makineni
This network shows the impact of papers produced by Srihari Makineni. 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 Srihari Makineni. The network helps show where Srihari Makineni may publish in the future.
Co-authorship network of co-authors of Srihari Makineni
This figure shows the co-authorship network connecting the top 25 collaborators of Srihari Makineni. A scholar is included among the top collaborators of Srihari Makineni 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 Srihari Makineni. Srihari Makineni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 31 | |
| 3 | 106 | |
| 4 | 0 | |
| 5 | 12 | |
| 6 | 2 | |
| 7 | Receive Side Coalescing for Accelerating TCP/IP Processing | 0 |
| 8 | 58 | |
| 9 | 34 | |
| 10 | 6 | |
| 11 | 197 | |
| 12 | 13 | |
| 13 | 16 | |
| 14 | 45 | |
| 15 | 139 | |
| 16 | 64 | |
| 17 | 40 | |
| 18 | TCP/IP Cache Characterization in Commercial Server Workloads | 10 |
| 19 | 103 | |
| 20 | 19 |
About Srihari Makineni
Srihari Makineni is a scholar working on Hardware and Architecture, Computer Networks and Communications and Information Systems, having authored 30 papers that have together received 1.2k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (21 papers), Advanced Data Storage Technologies (19 papers) and Interconnection Networks and Systems (12 papers). The work is most often cited by research in Hardware and Architecture (945 citations), Computer Networks and Communications (1.1k citations) and Information Systems (469 citations). Srihari Makineni has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Ravishankar Iyer, Don Newell, Li Zhao, Lisa Hsu, Ravi Iyer, Ramesh Illikkal, Yan Solihin, Donald Newell, Steve Reinhardt and Steven K. Reinhardt. Their work appears in journals such as Computer, IEEE Transactions on Computers and IEEE Micro.
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.