Subru Krishnan

583 total citations
16 papers, 330 citations indexed

About

Subru Krishnan is a scholar working on Information Systems, Computer Networks and Communications and Information Systems and Management. According to data from OpenAlex, Subru Krishnan has authored 16 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Information Systems, 12 papers in Computer Networks and Communications and 4 papers in Information Systems and Management. Recurrent topics in Subru Krishnan's work include Cloud Computing and Resource Management (10 papers), Distributed and Parallel Computing Systems (5 papers) and Scientific Computing and Data Management (4 papers). Subru Krishnan is often cited by papers focused on Cloud Computing and Resource Management (10 papers), Distributed and Parallel Computing Systems (5 papers) and Scientific Computing and Data Management (4 papers). Subru Krishnan collaborates with scholars based in United Kingdom, United States and Israel. Subru Krishnan's co-authors include Carlo Curino, Sriram Rao, Raghu Ramakrishnan, Chris Douglas, Djellel Difallah, Shravan Narayanamurthy, Jonathan Yaniv, Íñigo Goiri, Alexey Tumanov and Ishai Menache and has published in prestigious journals such as Proceedings of the VLDB Endowment, Value in Health and ACM SIGMOD Record.

In The Last Decade

Subru Krishnan

14 papers receiving 322 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Subru Krishnan United Kingdom 7 282 274 76 49 39 16 330
Rebecca Taft United States 8 276 1.0× 377 1.4× 52 0.7× 31 0.6× 42 1.1× 10 416
Andrew Wang United States 6 284 1.0× 301 1.1× 74 1.0× 30 0.6× 51 1.3× 18 388
Kristi Morton United States 7 219 0.8× 243 0.9× 62 0.8× 68 1.4× 23 0.6× 9 317
Zhuoyao Zhang United States 12 356 1.3× 336 1.2× 80 1.1× 38 0.8× 46 1.2× 27 410
Hyungsoo Jung South Korea 11 212 0.8× 342 1.2× 35 0.5× 33 0.7× 75 1.9× 44 382
Rodrigo Schmidt Brazil 3 219 0.8× 251 0.9× 49 0.6× 27 0.6× 17 0.4× 6 309
Prashanth Menon United States 8 184 0.7× 361 1.3× 119 1.6× 32 0.7× 70 1.8× 12 412
Sethuraman Subbiah United States 5 569 2.0× 582 2.1× 84 1.1× 37 0.8× 55 1.4× 7 644
Jiong Xie United States 5 283 1.0× 266 1.0× 47 0.6× 48 1.0× 27 0.7× 14 322
Francois Raab Canada 2 159 0.6× 168 0.6× 48 0.6× 32 0.7× 29 0.7× 2 228

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-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

16 of 16 papers shown
1.
Ravikumar, Deepak, et al.. (2024). Intelligent Pooling: Proactive Resource Provisioning in Large-scale Cloud Service. Proceedings of the VLDB Endowment. 17(7). 1618–1627.
2.
Floratou, Avrilia, Konstantinos Karanasos, Subru Krishnan, et al.. (2023). Demonstration of Geyser: Provenance Extraction and Applications over Data Science Scripts. 123–126. 1 indexed citations
3.
Floratou, Avrilia, et al.. (2023). Schema Matching using Pre-Trained Language Models. 1558–1571. 6 indexed citations
4.
Zhu, Yiwen, Bojan Karlaš, Matteo Interlandi, et al.. (2022). Data Science Through the Looking Glass. ACM SIGMOD Record. 51(2). 30–37. 16 indexed citations
5.
Cahoon, Joyce, et al.. (2022). Doppler. Proceedings of the VLDB Endowment. 15(12). 3509–3521. 3 indexed citations
6.
Krishnan, Subru, et al.. (2020). Unearthing inter-job dependencies for better cluster scheduling.. Operating Systems Design and Implementation. 1205–1223. 5 indexed citations
7.
Floratou, Avrilia, et al.. (2020). Vamsa: Tracking Provenance in Data Science Scripts.. arXiv (Cornell University). 2 indexed citations
8.
Curino, Carlo, Subru Krishnan, Konstantinos Karanasos, et al.. (2019). Hydra: a federated resource manager for data-center scale analytics. Networked Systems Design and Implementation. 177–192. 20 indexed citations
9.
Jindal, Alekh, et al.. (2019). Peregrine. 416–427. 20 indexed citations
10.
Jindal, Alekh, et al.. (2019). SparkCruise. Proceedings of the VLDB Endowment. 12(12). 1850–1853. 8 indexed citations
11.
Curino, Carlo, et al.. (2019). Peering through the Dark. 1889–1892. 2 indexed citations
12.
Jyothi, Sangeetha Abdu, Carlo Curino, Ishai Menache, et al.. (2016). Morpheus: towards automated SLOs for enterprise clusters. Operating Systems Design and Implementation. 117–134. 119 indexed citations
13.
Rajan, Kaushik Sunder, Dharmesh Kakadia, Carlo Curino, & Subru Krishnan. (2016). PerfOrator. 415–427. 36 indexed citations
14.
Curino, Carlo, Djellel Difallah, Chris Douglas, et al.. (2014). Reservation-based Scheduling. 1–14. 90 indexed citations
15.
Krishnan, Subru, et al.. (2014). Profit maximization in cloud computing. 1–5. 1 indexed citations
16.

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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