Bikas Saha
- Computer Networks and Communications top 0.5%
- Information Systems top 0.2%
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Hardware and Architecture top 2%
- Co-authors
- Srikanth KandulaAlbert GreenbergHitesh ShahCarlo CurinoRobert EvansBenjamin ReedOwen O'MalleySharad Agarwal
- Topics
- Cloud Computing and Resource Management (5 papers)Scientific Computing and Data Management (3 papers)Software-Defined Networks and 5G (1 paper)
- Journals
- Operating Systems Design and ImplementationNetworked Systems Design and Implementation
- Partner nations
- United StatesUnited KingdomIsrael
In The Last Decade
Bikas Saha
6 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 62
- Computer Networks and Communications 1.8k
- Information Systems 1.8k
- Artificial Intelligence 316
- Computer Vision and Pattern Recognition 284
- Hardware and Architecture 248
Countries citing papers authored by Bikas Saha
This map shows the geographic impact of Bikas Saha'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 Bikas Saha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bikas Saha more than expected).
Fields of papers citing papers by Bikas Saha
This network shows the impact of papers produced by Bikas Saha. 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 Bikas Saha. The network helps show where Bikas Saha may publish in the future.
Co-authorship network of co-authors of Bikas Saha
This figure shows the co-authorship network connecting the top 25 collaborators of Bikas Saha. A scholar is included among the top collaborators of Bikas Saha 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 Bikas Saha. Bikas Saha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 1 | |
| 3 | 130 | |
| 4 | Apache Hadoop YARNbreakdown → | 1233 |
| 5 | Sharing the data center networkbreakdown → | 262 |
| 6 | Reining in the outliers in map-reduce clusters using Mantribreakdown → | 493 |
About Bikas Saha
Bikas Saha is a scholar working on Information Systems and Management, Information Systems and Computer Networks and Communications, having authored 6 papers that have together received 2.1k indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (5 papers), Scientific Computing and Data Management (3 papers) and Software-Defined Networks and 5G (1 paper). The work is most often cited by research in Information Systems (1.8k citations), Computer Networks and Communications (1.8k citations) and Hardware and Architecture (248 citations). Bikas Saha has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include Srikanth Kandula, Albert Greenberg, Hitesh Shah, Carlo Curino, Robert Evans, Benjamin Reed, Owen O'Malley, Sharad Agarwal, Sanjay Radia and Jason Lowe. Their work appears in journals such as Operating Systems Design and Implementation and Networked Systems Design and Implementation.
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.