Subru Krishnan
- Information Systems top 2%
- Computer Networks and Communications top 5%
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Hardware and Architecture top 10%
- Co-authors
- Carlo CurinoSriram RaoRaghu RamakrishnanChris DouglasDjellel DifallahShravan NarayanamurthyJonathan YanivÍñigo Goiri
- Topics
- Cloud Computing and Resource Management (10 papers)Distributed and Parallel Computing Systems (5 papers)Scientific Computing and Data Management (4 papers)
- Partner nations
- United KingdomUnited StatesIsrael
In The Last Decade
Subru Krishnan
14 papers receiving 322 citations
Peers
Comparison fields: 5 of 27
- Information Systems 282
- Computer Networks and Communications 274
- Artificial Intelligence 76
- Computer Vision and Pattern Recognition 49
- Hardware and Architecture 39
Countries citing papers authored by Subru Krishnan
This map shows the geographic impact of Subru Krishnan'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 Subru Krishnan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Subru Krishnan more than expected).
Fields of papers citing papers by Subru Krishnan
This network shows the impact of papers produced by Subru Krishnan. 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 Subru Krishnan. The network helps show where Subru Krishnan may publish in the future.
Co-authorship network of co-authors of Subru Krishnan
This figure shows the co-authorship network connecting the top 25 collaborators of Subru Krishnan. A scholar is included among the top collaborators of Subru Krishnan 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 Subru Krishnan. Subru Krishnan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 6 | |
| 4 | 16 | |
| 5 | 3 | |
| 6 | Unearthing inter-job dependencies for better cluster scheduling. | 5 |
| 7 | Vamsa: Tracking Provenance in Data Science Scripts. | 2 |
| 8 | Hydra: a federated resource manager for data-center scale analytics | 20 |
| 9 | 20 | |
| 10 | 8 | |
| 11 | 2 | |
| 12 | 119 | |
| 13 | 36 | |
| 14 | 90 | |
| 15 | 1 | |
| 16 | 1 |
About Subru Krishnan
Subru Krishnan is a scholar working on Information Systems, Information Systems and Management and Computer Networks and Communications, having authored 16 papers that have together received 330 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (10 papers), Distributed and Parallel Computing Systems (5 papers) and Scientific Computing and Data Management (4 papers). The work is most often cited by research in Information Systems (282 citations), Computer Networks and Communications (274 citations) and Hardware and Architecture (39 citations). Subru Krishnan has collaborated with scholars based in United Kingdom, United States and Israel. Frequent co-authors include Carlo Curino, Sriram Rao, Raghu Ramakrishnan, Chris Douglas, Djellel Difallah, Shravan Narayanamurthy, Jonathan Yaniv, Íñigo Goiri, Alexey Tumanov and Ishai Menache. Their work appears in journals such as Proceedings of the VLDB Endowment, Value in Health and ACM SIGMOD Record.
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.