Mark Grondona
- Computer Networks and Communications top 10%
- Information Systems top 10%
- Hardware and Architecture top 10%
- Information Systems and Management top 10%
- Materials Chemistry
- Co-authors
- Dong H. AhnTom ScoglandStephen HerbeinMichela TauferMorris A. JetteMartin SchulzTapasya PatkiA. Chu
- Topics
- Distributed and Parallel Computing Systems (7 papers)Cloud Computing and Resource Management (5 papers)Parallel Computing and Optimization Techniques (4 papers)
- Cited by
- Hardware and ArchitectureComputer Networks and CommunicationsInformation Systems and Management
- Journals
- Future Generation Computer SystemsLecture notes in computer scienceOSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)
- Partner nations
- United States
In The Last Decade
Mark Grondona
8 papers receiving 167 citations
Peers
Comparison fields: 5 of 30
- Computer Networks and Communications 146
- Information Systems 78
- Hardware and Architecture 59
- Information Systems and Management 44
- Materials Chemistry 5
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-authorship network of co-authors of Mark Grondona
This figure shows the co-authorship network connecting the top 25 collaborators of Mark Grondona. A scholar is included among the top collaborators of Mark Grondona 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 Mark Grondona. Mark Grondona is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 39 | |
| 4 | 10 | |
| 5 | 55 | |
| 6 | 38 | |
| 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) | 6 |
| 8 | SLURM: Simple Linux Utility for Resource Management | 16 |
About Mark Grondona
Mark Grondona is a scholar working on Hardware and Architecture, Computer Networks and Communications and Information Systems, having authored 8 papers that have together received 168 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (7 papers), Cloud Computing and Resource Management (5 papers) and Parallel Computing and Optimization Techniques (4 papers). The work is most often cited by research in Hardware and Architecture (59 citations), Computer Networks and Communications (146 citations) and Information Systems and Management (44 citations). Mark Grondona has collaborated with scholars based in United States. Frequent co-authors include Dong H. Ahn, Tom Scogland, Stephen Herbein, Michela Taufer, Morris A. Jette, Martin Schulz, Tapasya Patki, A. Chu, 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.