David Bestor

833 total citations
12 papers, 110 citations indexed

About

David Bestor is a scholar working on Computer Networks and Communications, Information Systems and Hardware and Architecture. According to data from OpenAlex, David Bestor has authored 12 papers receiving a total of 110 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Networks and Communications, 6 papers in Information Systems and 5 papers in Hardware and Architecture. Recurrent topics in David Bestor's work include Distributed and Parallel Computing Systems (7 papers), Parallel Computing and Optimization Techniques (5 papers) and Cloud Computing and Resource Management (5 papers). David Bestor is often cited by papers focused on Distributed and Parallel Computing Systems (7 papers), Parallel Computing and Optimization Techniques (5 papers) and Cloud Computing and Resource Management (5 papers). David Bestor collaborates with scholars based in United States and Mexico. David Bestor's co-authors include Peter Michaleas, Jeremy Kepner, Bill Bergeron, William Arcand, Chansup Byun, Albert Reuther, Antonio De Rosa, Matthew Hubbell, Andrew Prout and Michael Jones and has published in prestigious journals such as Proceedings of the VLDB Endowment, Journal of Parallel and Distributed Computing and arXiv (Cornell University).

In The Last Decade

David Bestor

9 papers receiving 104 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David Bestor United States	5	72	57	25	19	14	12	110
Bill Bergeron United States	4	62 0.9×	50 0.9×	20 0.8×	13 0.7×	11 0.8×	7	91
William Arcand United States	5	82 1.1×	64 1.1×	24 1.0×	24 1.3×	26 1.9×	10	129
Paweł Krzysztof Nowak United States	3	143 2.0×	143 2.5×	11 0.4×	57 3.0×	20 1.4×	5	199
Christos Kotselidis United Kingdom	7	148 2.1×	63 1.1×	110 4.4×	20 1.1×	9 0.6×	32	191
Bernard Traversat United States	4	159 2.2×	40 0.7×	17 0.7×	12 0.6×	22 1.6×	6	169
Gohar Irfan Chaudhry United States	5	165 2.3×	163 2.9×	23 0.9×	19 1.0×	4 0.3×	7	191
Tobias Pfandzelter Germany	6	137 1.9×	90 1.6×	10 0.4×	9 0.5×	11 0.8×	26	155
Son Nguyen United States	7	43 0.6×	15 0.3×	22 0.9×	17 0.9×	12 0.9×	23	98
Pierre Riteau United States	9	167 2.3×	144 2.5×	17 0.7×	28 1.5×	17 1.2×	24	197

Countries citing papers authored by David Bestor

Since Specialization

Citations

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

Fields of papers citing papers by David Bestor

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Bestor

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

All Works

Sort: Min cites: Since: Top N: Style:

12 of 12 papers shown

1.

Bergeron, Bill, Matthew Hubbell, Albert Reuther, et al.. (2024). Supercomputer 3D Digital Twin for User Focused Real-Time Monitoring. 1–8.

2.

Byun, Chansup, Julia Mullen, Albert Reuther, et al.. (2024). LLload: Simplifying Real-Time Job Monitoring for HPC Users. 1–4.

3.

Byun, Chansup, William Arcand, David Bestor, et al.. (2023). pPython Performance Study. 1–7.

4.

Frey, Nathan C., Baolin Li, Michael Jones, et al.. (2022). Benchmarking Resource Usage for Efficient Distributed Deep Learning. 1–8. 7 indexed citations

5.

Frey, Nathan C., Simon Axelrod, Michael Jones, et al.. (2022). Energy-aware neural architecture selection and hyperparameter optimization. 732–741. 1 indexed citations

6.

Frey, Nathan C., Matthew Hubbell, David Bestor, et al.. (2022). A Green(er) World for A.I.. arXiv (Cornell University). 742–750. 3 indexed citations

7.

Li, Qian, Daniel C. Hong, David Bestor, et al.. (2021). DBOS. Proceedings of the VLDB Endowment. 15(1). 21–30. 8 indexed citations

8.

Gadepally, Vijay, Jeremy Kepner, Lauren Milechin, et al.. (2018). Hyperscaling Internet Graph Analysis with D4M on the MIT SuperCloud. 1–6. 4 indexed citations

9.

Reuther, Albert, Chansup Byun, William Arcand, et al.. (2017). Scalable system scheduling for HPC and big data. Journal of Parallel and Distributed Computing. 111. 76–92. 61 indexed citations

10.

Reuther, Albert, Jeremy Kepner, William Arcand, et al.. (2013). LLSuperCloud: Sharing HPC systems for diverse rapid prototyping. 1–6. 9 indexed citations

11.

Byun, Chansup, William Arcand, David Bestor, et al.. (2012). Driving big data with big compute. 1–6. 15 indexed citations

12.

Arcand, William, David Bestor, Chansup Byun, et al.. (2012). Scalable cryptographic authentication for high performance computing. 16. 1–2. 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.

Explore authors with similar magnitude of impact