Mark Grondona
Impact in
- Hardware and Architecture top 2%
- Parallel Computing and Optimization Techniques
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- Distributed and Parallel Computing Systems
- Advanced Data Storage Technologies
- Distributed systems and fault tolerance
- IoT and Edge/Fog Computing
- Interconnection Networks and Systems
Papers in
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- Distributed and Parallel Computing Systems 8
- Advanced Data Storage Technologies 4
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- Cloud Computing and Resource Management 5
- Co-authors
- Morris A. Jette (3 shared papers)Andy Yoo (1 shared paper)Dong H. Ahn (5 shared papers)Stephen Herbein (4 shared papers)Tom Scogland (4 shared papers)Michela Taufer (3 shared papers)Martin Schulz (1 shared paper)Tapasya Patki (4 shared papers)
- Journals
- Future Generation Computer Systems (1 paper)Lecture notes in computer science (2 papers)OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (3 papers)
- Partner nations
- United States
In The Last Decade
Mark Grondona
9 papers receiving 1.1k citations
Mark Grondona's Hit Papers
Peers
Comparison fields: 5 of 108
- Hardware and Architecture 370
- Computer Networks and Communications 816
- Information Systems and Management 237
- Information Systems 502
- Artificial Intelligence 92
Countries citing papers authored by Mark Grondona
This map shows the geographic impact of Mark Grondona'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 Mark Grondona with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Grondona more than expected).
Fields of papers citing papers by Mark Grondona
This network shows the impact of papers produced by Mark Grondona. 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 Mark Grondona. The network helps show where Mark Grondona may publish in the future.
Co-authors
The 12 scholars most cited alongside Mark Grondona, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | SLURM: Simple Linux Utility for Resource Management Hit paper breakdown → | 2003 | 988 |
| 2 | 2016 | 58 | |
| 3 | 2014 | 52 | |
| 4 | 2020 | 44 | |
| 5 | SLURM: Simple Linux Utility for Resource Management | 2002 | 17 |
| 6 | 2018 | 14 | |
| 7 | SLURM:リソース管理のためのシンプルなLinuxユーティリティ(原標題は英語) | 2003 | 7 |
| 8 | 2023 | 3 | |
| 9 | 2024 | 3 |
About Mark Grondona
Mark Grondona is a scholar working on Computer Networks and Communications, Information Systems, Hardware and Architecture, Information Systems and Management and Infectious Diseases, having authored 9 papers that have together received 1.2k indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (8 papers), Parallel Computing and Optimization Techniques (5 papers), Cloud Computing and Resource Management (5 papers), Advanced Data Storage Technologies (4 papers) and Scientific Computing and Data Management (1 paper). The work is most often cited by research in Hardware and Architecture (370 citations), Computer Networks and Communications (816 citations), Information Systems and Management (237 citations), Information Systems (502 citations) and Artificial Intelligence (92 citations). Mark Grondona has collaborated with scholars based in United States. Frequent co-authors include Morris A. Jette, Andy Yoo, Dong H. Ahn, Stephen Herbein, Tom Scogland, Michela Taufer, Martin Schulz, Tapasya Patki, J. M. Koning and Helgi I. Ingólfsson. Their work appears in journals such as Future Generation Computer Systems, Lecture notes in computer science and OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).
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.