Rakesh Barve

731 total citations
23 papers, 272 citations indexed

About

Rakesh Barve is a scholar working on Computer Networks and Communications, Artificial Intelligence and Hardware and Architecture. According to data from OpenAlex, Rakesh Barve has authored 23 papers receiving a total of 272 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Networks and Communications, 7 papers in Artificial Intelligence and 4 papers in Hardware and Architecture. Recurrent topics in Rakesh Barve's work include Advanced Data Storage Technologies (10 papers), Distributed systems and fault tolerance (6 papers) and Algorithms and Data Compression (5 papers). Rakesh Barve is often cited by papers focused on Advanced Data Storage Technologies (10 papers), Distributed systems and fault tolerance (6 papers) and Algorithms and Data Compression (5 papers). Rakesh Barve collaborates with scholars based in United States, Israel and India. Rakesh Barve's co-authors include Jeffrey Scott Vitter, Edward F. Grove, Philip M. Long, Yossi Matias, Phillip B. Gibbons, Bruce K. Hillyer, Peter Varman, Elizabeth Shriver, Mahesh Kallahalla and Venky Soundararajan and has published in prestigious journals such as Circulation, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Rakesh Barve

22 papers receiving 256 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rakesh Barve United States	11	153	97	71	47	27	23	272
Deepali Bhardwaj India	7	98 0.6×	98 1.0×	20 0.3×	67 1.4×	47 1.7×	10	355
Benjamin Fuller United States	10	57 0.4×	89 0.9×	60 0.8×	9 0.2×	12 0.4×	23	217
Andrew Kennedy United Kingdom	9	82 0.5×	280 2.9×	105 1.5×	36 0.8×	79 2.9×	19	361
Khanh Nguyen United States	9	205 1.3×	37 0.4×	114 1.6×	7 0.1×	5 0.2×	34	395
Klim Efremenko Israel	8	101 0.7×	117 1.2×	14 0.2×	15 0.3×	74 2.7×	27	193
Samson Zhou United States	6	31 0.2×	64 0.7×	8 0.1×	24 0.5×	15 0.6×	23	123
William Millan Australia	6	17 0.1×	67 0.7×	5 0.1×	34 0.7×	19 0.7×	14	119
John Thornton Australia	6	37 0.2×	48 0.5×	4 0.1×	30 0.6×	34 1.3×	12	178
Abel Kho United States	8	17 0.1×	149 1.5×	13 0.2×	4 0.1×	14 0.5×	9	320
Bernhard Reus United Kingdom	9	38 0.2×	188 1.9×	20 0.3×	9 0.2×	118 4.4×	29	273

Countries citing papers authored by Rakesh Barve

Since Specialization

Citations

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

Fields of papers citing papers by Rakesh Barve

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rakesh Barve

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

All Works

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20 of 20 papers shown

Kumar, Praveen, V.A. Kurien, Shashank Jaiswal, et al.. (2024). A deep learning–enabled workflow to estimate real world progression-free survival in patients with metastatic breast cancer.. Journal of Clinical Oncology. 42(16_suppl). 11176–11176.

Pawlowski, Colin, Francisco López-Jiménez, Suraj Kapa, et al.. (2023). Abstract 14527: AI-ECG is a Cost-Effective Early Screening Tool for Heart Failure With Reduced Ejection Fraction. Circulation. 148(Suppl_1). 1 indexed citations

Venkatakrishnan, AJ, Colin Pawlowski, David Zemmour, et al.. (2021). Mapping each pre-existing condition’s association to short-term and long-term COVID-19 complications. npj Digital Medicine. 4(1). 117–117. 18 indexed citations

Pawlowski, Colin, AJ Venkatakrishnan, Arjun Puranik, et al.. (2021). Pre-existing conditions are associated with COVID-19 patients’ hospitalization, despite confirmed clearance of SARS-CoV-2 virus. EClinicalMedicine. 34. 100793–100793. 12 indexed citations

DuBrock, Hilary M., Tyler Wagner, Zachi I. Attia, et al.. (2021). An Automated Screening Algorithm Using Electrocardiograms for Pulmonary Hypertension. A1179–A1179. 1 indexed citations

Lenehan, Patrick J., Tudor Hughes, David Zemmour, et al.. (2021). A Literature-Derived Knowledge Graph Augments the Interpretation of Single Cell RNA-seq Datasets. Genes. 12(6). 898–898. 6 indexed citations

Venkatakrishnan, AJ, Arjun Puranik, Akash Anand, et al.. (2020). Knowledge synthesis of 100 million biomedical documents augments the deep expression profiling of coronavirus receptors. SHILAP Revista de lepidopterología. 46 indexed citations

Barve, Rakesh & Jeffrey Scott Vitter. (2003). A theoretical framework for memory-adaptive algorithms. 273–284. 11 indexed citations

Barve, Rakesh & Jeffrey Scott Vitter. (2002). A Simple and Efficient Parallel Disk Mergesort. Theory of Computing Systems. 35(2). 189–215. 5 indexed citations

10.

Barve, Rakesh, et al.. (2002). Application-controlled paging for a shared cache. 204–213. 1 indexed citations

11.

Barve, Rakesh, Mahesh Kallahalla, Peter Varman, & Jeffrey Scott Vitter. (2000). Competitive Parallel Disk Prefetching and Buffer Management. Journal of Algorithms. 36(2). 152–181. 11 indexed citations

12.

Barve, Rakesh, Edward F. Grove, & Jeffrey Scott Vitter. (2000). Application-Controlled Paging for a Shared Cache. SIAM Journal on Computing. 29(4). 1290–1303. 11 indexed citations

13.

Barve, Rakesh, Elizabeth Shriver, Phillip B. Gibbons, et al.. (1999). Modeling and optimizing I/O throughput of multiple disks on a bus. ACM SIGMETRICS Performance Evaluation Review. 27(1). 83–92. 3 indexed citations

14.

Barve, Rakesh, Phillip B. Gibbons, Bruce K. Hillyer, et al.. (1999). Round-like behavior in multiple disks on a bus. 1–9. 4 indexed citations

15.

Barve, Rakesh & Jeffrey Scott Vitter. (1999). A simple and efficient parallel disk mergesort. 232–241. 8 indexed citations

16.

Barve, Rakesh, Elizabeth Shriver, Phillip B. Gibbons, et al.. (1998). Modeling and optimizing I/O throughput of multiple disks on a bus (summary). 264–265. 7 indexed citations

17.

Barve, Rakesh & Philip M. Long. (1997). On the Complexity of Learning from Drifting Distributions. Information and Computation. 138(2). 170–193. 14 indexed citations

18.

Barve, Rakesh, Edward F. Grove, & Jeffrey Scott Vitter. (1997). Simple randomized mergesort on parallel disks. Parallel Computing. 23(4-5). 601–631. 60 indexed citations

19.

Barve, Rakesh, Mahesh Kallahalla, Peter Varman, & Jeffrey Scott Vitter. (1997). Competitive parallel disk prefetching and buffer management. 47–56. 11 indexed citations

20.

Barve, Rakesh, Edward F. Grove, & Jeffrey Scott Vitter. (1996). Simple randomized mergesort on parallel disks. 109–118. 9 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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