Lavanya Ramakrishnan

3.0k total citations · 1 hit paper
89 papers, 1.7k citations indexed

About

Lavanya Ramakrishnan is a scholar working on Computer Networks and Communications, Information Systems and Management and Information Systems. According to data from OpenAlex, Lavanya Ramakrishnan has authored 89 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Computer Networks and Communications, 51 papers in Information Systems and Management and 50 papers in Information Systems. Recurrent topics in Lavanya Ramakrishnan's work include Distributed and Parallel Computing Systems (56 papers), Scientific Computing and Data Management (51 papers) and Cloud Computing and Resource Management (40 papers). Lavanya Ramakrishnan is often cited by papers focused on Distributed and Parallel Computing Systems (56 papers), Scientific Computing and Data Management (51 papers) and Cloud Computing and Resource Management (40 papers). Lavanya Ramakrishnan collaborates with scholars based in United States, Sweden and France. Lavanya Ramakrishnan's co-authors include Keith Jackson, Krishna Muriki, Shreyas Cholia, R. S. Canon, Nicholas J. Wright, John Shalf, Shane Canon, Harvey J. Wasserman, Madhusudhan Govindaraju and Elif Dede and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing and Future Generation Computer Systems.

In The Last Decade

Lavanya Ramakrishnan

86 papers receiving 1.6k citations

Hit Papers

Performance Analysis of High Performance Computing Applic... 2010 2026 2015 2020 2010 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Performance Analysis of High Performance Computing Applications on the Amazon Web Services Cloud
    2010 414 citations Keith Jackson, Lavanya Ramakrishnan et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lavanya Ramakrishnan United States 21 1.3k 1.1k 523 161 147 89 1.7k
Craig A. Lee United States 16 1.0k 0.8× 619 0.6× 172 0.3× 271 1.7× 158 1.1× 52 1.5k
Moustafa Ghanem United Kingdom 20 869 0.7× 644 0.6× 317 0.6× 45 0.3× 277 1.9× 66 1.5k
Marian Bubak Poland 17 747 0.6× 415 0.4× 475 0.9× 112 0.7× 113 0.8× 137 1.1k
Shrideep Pallickara United States 20 1.1k 0.9× 758 0.7× 216 0.4× 115 0.7× 281 1.9× 123 1.6k
Iván Rodero United States 19 852 0.7× 689 0.6× 186 0.4× 185 1.1× 141 1.0× 84 1.1k
Renato Figueiredo United States 22 1.8k 1.4× 1.2k 1.1× 257 0.5× 460 2.9× 177 1.2× 145 2.2k
Jason Maassen Netherlands 21 1.0k 0.8× 428 0.4× 295 0.6× 493 3.1× 220 1.5× 67 1.3k
M. Malawski Poland 17 1.0k 0.8× 877 0.8× 499 1.0× 73 0.5× 87 0.6× 84 1.3k
Ann Chervenak United States 23 3.4k 2.7× 1.6k 1.5× 1.3k 2.5× 718 4.5× 252 1.7× 64 3.7k
Todd Tannenbaum United States 12 2.3k 1.8× 1.1k 1.0× 837 1.6× 870 5.4× 160 1.1× 29 2.7k

Countries citing papers authored by Lavanya Ramakrishnan

Since Specialization
Citations

This map shows the geographic impact of Lavanya Ramakrishnan'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 Lavanya Ramakrishnan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lavanya Ramakrishnan more than expected).

Fields of papers citing papers by Lavanya Ramakrishnan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lavanya Ramakrishnan. 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 Lavanya Ramakrishnan. The network helps show where Lavanya Ramakrishnan may publish in the future.

Co-authorship network of co-authors of Lavanya Ramakrishnan

This figure shows the co-authorship network connecting the top 25 collaborators of Lavanya Ramakrishnan. A scholar is included among the top collaborators of Lavanya Ramakrishnan 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 Lavanya Ramakrishnan. Lavanya Ramakrishnan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ramakrishnan, Lavanya, et al.. (2024). SCIPIS: Scalable and concurrent persistent indexing and search in high-end computing systems. Journal of Parallel and Distributed Computing. 189. 104878–104878.
2.
Hegde, Harshad, et al.. (2024). Automated annotation of scientific texts for ML-based keyphrase extraction and validation. Database. 2024. 2 indexed citations
3.
Blaschke, Johannes, et al.. (2021). Experiences with Cross-Facility Real-Time Light Source Data Analysis Workflows. 45–53. 8 indexed citations
4.
Austin, Brian, Deborah Bard, Christopher Daley, et al.. (2020). Characterizing Scientific Workflows on HPC Systems using Logs. 57–64. 1 indexed citations
5.
Cholia, Shreyas, et al.. (2020). Towards Interactive, Reproducible Analytics at Scale on HPC Systems. eScholarship (California Digital Library). 47–54. 3 indexed citations
6.
Ramakrishnan, Lavanya, et al.. (2018). Dac-Man: Data Change Management for Scientific Datasets on HPC systems. 37. 907–919. 4 indexed citations
7.
Cheah, You-Wei, et al.. (2018). Bringing Data Science to Qualitative Analysis. eScholarship (California Digital Library). 325–326. 1 indexed citations
8.
Elmroth, Erik, et al.. (2017). Enabling Workflow-Aware Scheduling on HPC Systems. 3–14. 16 indexed citations
9.
Ramakrishnan, Lavanya, et al.. (2017). MaDaTS. 41–52. 17 indexed citations
10.
Verma, Manish, Joshua B. Fisher, Kaniska Mallick, et al.. (2016). Global Surface Net-Radiation at 5 km from MODIS Terra. Remote Sensing. 8(9). 739–739. 35 indexed citations
11.
Östberg, Per-Olov, et al.. (2016). Towards Understanding Job Heterogeneity in HPC: A NERSC Case Study. eScholarship (California Digital Library). 37. 521–526. 11 indexed citations
12.
Li, Tonglin, Ioan Raicu, & Lavanya Ramakrishnan. (2014). Scalable State Management for Scientific Applications in the Cloud. 204–211. 10 indexed citations
13.
Dede, Elif, et al.. (2014). MARIANE: Using MApReduce in HPC environments. Future Generation Computer Systems. 36. 379–388. 8 indexed citations
14.
Ramakrishnan, Lavanya. (2013). Deadline-Sensitive Workflow Orchestration Without Explicit Resource Control. eScholarship (California Digital Library). 4 indexed citations
15.
Simmhan, Yogesh, Gabriel Antoniu, Carole Goble, & Lavanya Ramakrishnan. (2012). Proceedings of the 3rd workshop on Scientific Cloud Computing. 1 indexed citations
16.
Jackson, Keith, Krishna Muriki, Lavanya Ramakrishnan, K. Runge, & R. C. Thomas. (2011). Performance and Cost Analysis of the Supernova Factory on the Amazon AWS Cloud. SHILAP Revista de lepidopterología. 2 indexed citations
17.
Ramakrishnan, Lavanya, R. S. Canon, Susan Coghlan, et al.. (2011). Magellan. 49–58. 50 indexed citations
18.
Dede, Elif, et al.. (2011). MARIANE: MApReduce Implementation Adapted for HPC Environments. 82–89. 23 indexed citations
19.
Ramakrishnan, Lavanya, et al.. (2010). On-demand Overlay Networks for Large Scientific Data Transfers. 359–367. 11 indexed citations
20.
Fowler, Robert J., Todd Gamblin, Gopi Kandaswamy, et al.. (2006). Challenges of Scale: When All Computing Becomes Grid Computing.. IEEE International Conference on High Performance Computing, Data, and Analytics. 186–206. 2 indexed citations

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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