Sujay Parekh
- Computer Networks and Communications top 1%
- Information Systems top 1%
- Hardware and Architecture top 2%
- Artificial Intelligence top 5%
- Electrical and Electronic Engineering
- Co-authors
- Joseph L. HellersteinYixin DiaoDawn M. TilburyShivnath BabuJeffrey S. ChaseHenry M. LevyJack LoSusan J. Eggers
- Topics
- Parallel Computing and Optimization Techniques (8 papers)Cloud Computing and Resource Management (7 papers)Distributed systems and fault tolerance (6 papers)
- Partner nations
- United StatesGermanyCambodia
In The Last Decade
Sujay Parekh
22 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 63
- Computer Networks and Communications 1.0k
- Information Systems 702
- Hardware and Architecture 410
- Artificial Intelligence 209
- Electrical and Electronic Engineering 87
Countries citing papers authored by Sujay Parekh
This map shows the geographic impact of Sujay Parekh'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 Sujay Parekh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sujay Parekh more than expected).
Fields of papers citing papers by Sujay Parekh
This network shows the impact of papers produced by Sujay Parekh. 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 Sujay Parekh. The network helps show where Sujay Parekh may publish in the future.
Co-authorship network of co-authors of Sujay Parekh
This figure shows the co-authorship network connecting the top 25 collaborators of Sujay Parekh. A scholar is included among the top collaborators of Sujay Parekh 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 Sujay Parekh. Sujay Parekh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 10 | |
| 3 | 8 | |
| 4 | 99 | |
| 5 | 3 | |
| 6 | Feedback control techniques for performance management of computing systems | 2 |
| 7 | 5 | |
| 8 | 3 | |
| 9 | 21 | |
| 10 | 12 | |
| 11 | 9 | |
| 12 | Control engineering for computing systems | 13 |
| 13 | Feedback Control of Computing Systemsbreakdown → | 630 |
| 14 | An Introduction to Control Theory With Applications to Computer Science | 5 |
| 15 | Managing the Performance of Lotus Notes: A Control Theoretic Approach. | 20 |
| 16 | 20 | |
| 17 | 2 | |
| 18 | 152 | |
| 19 | 14 | |
| 20 | 33 |
About Sujay Parekh
Sujay Parekh is a scholar working on Hardware and Architecture, Computer Networks and Communications and General Dentistry, having authored 22 papers that have together received 1.3k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (8 papers), Cloud Computing and Resource Management (7 papers) and Distributed systems and fault tolerance (6 papers). The work is most often cited by research in Hardware and Architecture (410 citations), Computer Networks and Communications (1.0k citations) and Information Systems (702 citations). Sujay Parekh has collaborated with scholars based in United States, Germany and Cambodia. Frequent co-authors include Joseph L. Hellerstein, Yixin Diao, Dawn M. Tilbury, Shivnath Babu, Jeffrey S. Chase, Henry M. Levy, Jack Lo, Susan J. Eggers, Luiz André Barroso and Kourosh Gharachorloo. Their work appears in journals such as Journal of Hospital Infection, IEEE Control Systems and The VLDB Journal.
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.