Mark Kim
Impact in
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- Computer Graphics and Visualization Techniques
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- Scientific Computing and Data Management
Papers in
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- Computer Graphics and Visualization Techniques 11
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- Scientific Computing and Data Management 8
- Co-authors
- Brian N. Hilton (1 shared paper)Yong Min Kim (1 shared paper)Hong Chul Moon (1 shared paper)David Pugmire (9 shared papers)Hank Childs (6 shared papers)James Kress (7 shared papers)Scott Klasky (8 shared papers)Jong Youl Choi (6 shared papers)
- Journals
- CORROSION (2 papers)Molecular Cancer Therapeutics (1 paper)Review of Accounting Studies (1 paper)RSC Advances (1 paper)Contemporary Accounting Research (1 paper)
- Partner nations
- United StatesSouth KoreaCanada
In The Last Decade
Mark Kim
31 papers receiving 352 citations
Peers
Comparison fields: 5 of 53
- Computer Graphics and Computer-Aided Design 56
- Information Systems and Management 69
- Hardware and Architecture 50
- Information Systems 97
- Polymers and Plastics 47
Countries citing papers authored by Mark Kim
This map shows the geographic impact of Mark Kim'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 Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Kim more than expected).
Fields of papers citing papers by Mark Kim
This network shows the impact of papers produced by Mark Kim. 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 Kim. The network helps show where Mark Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 118 | |
| 2 | 2020 | 57 | |
| 3 | 2019 | 27 | |
| 4 | 2018 | 25 | |
| 5 | 2021 | 17 | |
| 6 | 2020 | 16 | |
| 7 | 2021 | 15 | |
| 8 | 2018 | 9 | |
| 9 | Extending the Publish/Subscribe Abstraction for High-Performance I/O and Data Management at Extreme Scale. | 2020 | 9 |
| 10 | 2018 | 8 | |
| 11 | 2016 | 7 | |
| 12 | 2018 | 7 | |
| 13 | 2017 | 6 | |
| 14 | 2018 | 6 | |
| 15 | 2020 | 6 | |
| 16 | 2016 | 4 | |
| 17 | 2020 | 4 | |
| 18 | 2018 | 3 | |
| 19 | 2019 | 3 | |
| 20 | Assembling large mosaics of electron microscope images using GPU | 2011 | 2 |
About Mark Kim
Mark Kim is a scholar working on Computer Graphics and Computer-Aided Design, Information Systems and Management, Hardware and Architecture, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 33 papers that have together received 364 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (11 papers), Scientific Computing and Data Management (8 papers), Distributed and Parallel Computing Systems (4 papers), Parallel Computing and Optimization Techniques (4 papers), Data Visualization and Analytics (4 papers), Advanced Data Storage Technologies (4 papers), Corrosion Behavior and Inhibition (3 papers) and Auditing, Earnings Management, Governance (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (56 citations), Information Systems and Management (69 citations), Hardware and Architecture (50 citations), Information Systems (97 citations) and Polymers and Plastics (47 citations). Mark Kim has collaborated with scholars based in United States, South Korea and Canada. Frequent co-authors include Brian N. Hilton, Yong Min Kim, Hong Chul Moon, David Pugmire, Hank Childs, James Kress, Scott Klasky, Jong Youl Choi, Norbert Podhorszki and Matthew Wolf. Their work appears in journals such as CORROSION, Molecular Cancer Therapeutics, Review of Accounting Studies, RSC Advances and Contemporary Accounting Research.
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.