Subru Krishnan

590 citations
16 papers · 356 · h-index 8

Impact in

Papers in

    • Cloud Computing and Resource Management 10
    • Distributed and Parallel Computing Systems 5
    • Advanced Database Systems and Queries 3
    • Software System Performance and Reliability 2
    • IoT and Edge/Fog Computing 2
    • Advanced Data Storage Technologies 2

Subru Krishnan

14 papers receiving 348 citations

Peers

Subru Krishnan
Comparison fields: 5 of 29
  • Information Systems 297
  • Computer Networks and Communications 289
  • Hardware and Architecture 40
  • Information Systems and Management 27
  • Signal Processing 27
Replace Qingchao Cai with:
Qingchao Cai Singapore
Rodrigo Schmidt Switzerland
Simon Loesing Switzerland
Andrew W. Leung United States
Jeff Shute United States
Jiong Xie United States
Philipp Unterbrunner Switzerland
Rebecca Taft United States
Hyungsoo Jung South Korea
Zhuoyao Zhang United States
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Citations per field
00.5×1.5×2.1×
Qingchao Cai · 1×
Citations per year

Countries citing papers authored by Subru Krishnan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside Subru Krishnan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Subru Krishnan Line = papers co-authored together Subru Krishnan links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2016126
2 201495
3 201637
4
Hydra: a federated resource manager for data-center scale analytics
201922
5 201920
6 202219
7 202313
8 20198
9
Unearthing inter-job dependencies for better cluster scheduling.
20205
10 20223
11 20193
12
Vamsa: Tracking Provenance in Data Science Scripts.
20202
13 20231
14 20131
15 20141
16 20240

About Subru Krishnan

Subru Krishnan is a scholar working on Information Systems, Computer Networks and Communications, Information Systems and Management, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 16 papers that have together received 356 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (10 papers), Distributed and Parallel Computing Systems (5 papers), Scientific Computing and Data Management (4 papers), Advanced Database Systems and Queries (3 papers), Software System Performance and Reliability (2 papers), IoT and Edge/Fog Computing (2 papers), Data Stream Mining Techniques (2 papers) and Advanced Data Storage Technologies (2 papers). The work is most often cited by research in Information Systems (297 citations), Computer Networks and Communications (289 citations), Hardware and Architecture (40 citations), Information Systems and Management (27 citations) and Signal Processing (27 citations). Subru Krishnan has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include Carlo Curino, Sriram Rao, Chris Douglas, Raghu Ramakrishnan, Djellel Difallah, Ishai Menache, Shravan Narayanamurthy, Janardhan Kulkarni, Sangeetha Abdu Jyothi and Íñigo Goiri. Their work appears in journals such as Proceedings of the VLDB Endowment, Value in Health, ACM SIGMOD Record, Operating Systems Design and Implementation and arXiv (Cornell University).

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.

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