Peter Michaleas

1.1k total citations
12 papers, 143 citations indexed

About

Peter Michaleas is a scholar working on Computer Networks and Communications, Information Systems and Hardware and Architecture. According to data from OpenAlex, Peter Michaleas has authored 12 papers receiving a total of 143 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Networks and Communications, 6 papers in Information Systems and 5 papers in Hardware and Architecture. Recurrent topics in Peter Michaleas's work include Distributed and Parallel Computing Systems (8 papers), Advanced Data Storage Technologies (6 papers) and Parallel Computing and Optimization Techniques (5 papers). Peter Michaleas is often cited by papers focused on Distributed and Parallel Computing Systems (8 papers), Advanced Data Storage Technologies (6 papers) and Parallel Computing and Optimization Techniques (5 papers). Peter Michaleas collaborates with scholars based in United States. Peter Michaleas's co-authors include Albert Reuther, Jeremy Kepner, Matthew Hubbell, William Arcand, Chansup Byun, Andrew Prout, David Bestor, Antonio De Rosa, Bill Bergeron and Michael Jones and has published in prestigious journals such as Journal of Parallel and Distributed Computing and IEEE Conference Proceedings.

In The Last Decade

Peter Michaleas

9 papers receiving 130 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Peter Michaleas United States	5	89	72	31	27	27	12	143
William Arcand United States	5	82 0.9×	64 0.9×	24 0.8×	26 1.0×	24 0.9×	10	129
Matthew Hubbell United States	5	86 1.0×	67 0.9×	24 0.8×	32 1.2×	28 1.0×	15	142
Wanling Gao China	6	98 1.1×	50 0.7×	65 2.1×	22 0.8×	38 1.4×	34	171
Kushal Datta United States	5	88 1.0×	44 0.6×	35 1.1×	21 0.8×	39 1.4×	9	149
Miguel Matos Portugal	8	196 2.2×	148 2.1×	15 0.5×	13 0.5×	43 1.6×	40	241
Lucas Nussbaum France	7	164 1.8×	104 1.4×	19 0.6×	9 0.3×	19 0.7×	16	206
Alexandru Uta Netherlands	9	204 2.3×	188 2.6×	15 0.5×	38 1.4×	43 1.6×	28	246
Francesc Lordan Spain	7	135 1.5×	105 1.5×	32 1.0×	10 0.4×	14 0.5×	17	168
Rajeev Wankar India	9	191 2.1×	85 1.2×	55 1.8×	18 0.7×	39 1.4×	42	221
R. Housley	3	94 1.1×	47 0.7×	16 0.5×	25 0.9×	48 1.8×	3	168

Countries citing papers authored by Peter Michaleas

Since Specialization

Citations

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

Fields of papers citing papers by Peter Michaleas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Michaleas

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Michaleas. A scholar is included among the top collaborators of Peter Michaleas 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 Peter Michaleas. Peter Michaleas 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.

Reuther, Albert, et al.. (2023). Lincoln AI Computing Survey (LAICS) Update. 1–7. 4 indexed citations

5.

Michaleas, Peter, et al.. (2019). Survey and Benchmarking of Machine Learning Accelerators. IEEE Conference Proceedings. 2019. 1–9. 1 indexed citations

6.

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

7.

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

8.

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

9.

Reuther, Albert, et al.. (2012). HPC-VMs: Virtual machines in high performance computing systems. 16. 1–6. 11 indexed citations

10.

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

11.

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

12.

Kepner, Jeremy, William Arcand, Nadya Bliss, et al.. (2012). Dynamic distributed dimensional data model (D4M) database and computation system. 5349–5352. 36 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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