Andrew McNutt
Impact in
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- Scientific Computing and Data Management
Papers in
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- Data Visualization and Analytics 5
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- Natural Language Processing Techniques 1
- Artificial Intelligence in Games 1
- Co-authors
- Alex M. Clark (2 shared papers)Sean Ekins (2 shared papers)Robert C. Reynolds (1 shared paper)Joel S. Freundlich (1 shared paper)George M. Grass (1 shared paper)Robert DeLine (1 shared paper)Steven M. Drucker (1 shared paper)Sara Di Bartolomeo (1 shared paper)
- Journals
- IEEE Transactions on Visualization and Computer Graphics (4 papers)Computer Graphics Forum (2 papers)IEEE Computer Graphics and Applications (1 paper)Journal of Chemical Information and Modeling (1 paper)Methods in molecular biology (1 paper)
- Partner nations
- United StatesSwedenMexico
In The Last Decade
Andrew McNutt
15 papers receiving 202 citations
Peers
Comparison fields: 5 of 82
- Health Informatics 8
- Information Systems and Management 29
- Computational Theory and Mathematics 57
- Computer Science Applications 13
- Software 8
Countries citing papers authored by Andrew McNutt
This map shows the geographic impact of Andrew McNutt'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 Andrew McNutt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew McNutt more than expected).
Fields of papers citing papers by Andrew McNutt
This network shows the impact of papers produced by Andrew McNutt. 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 Andrew McNutt. The network helps show where Andrew McNutt may publish in the future.
Co-authors
The 25 scholars most cited alongside Andrew McNutt, 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 | 2015 | 86 | |
| 2 | 2023 | 41 | |
| 3 | 2023 | 26 | |
| 4 | 2022 | 16 | |
| 5 | 2024 | 13 | |
| 6 | 2018 | 9 | |
| 7 | 2023 | 7 | |
| 8 | 2020 | 4 | |
| 9 | 2024 | 2 | |
| 10 | 2023 | 2 | |
| 11 | 2023 | 2 | |
| 12 | 2020 | 1 | |
| 13 | 2022 | 1 | |
| 14 | 2021 | 1 | |
| 15 | 2024 | 1 | |
| 16 | 2024 | 0 | |
| 17 | 2025 | 0 | |
| 18 | 2025 | 0 |
About Andrew McNutt
Andrew McNutt is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems, Information Systems and Management and Computer Science Applications, having authored 18 papers that have together received 212 indexed citations. Recurring topics across this work include Data Visualization and Analytics (5 papers), Computational Drug Discovery Methods (2 papers), Software Engineering Research (2 papers), Scientific Computing and Data Management (2 papers), Teaching and Learning Programming (2 papers), Natural Language Processing Techniques (1 paper), Cell Image Analysis Techniques (1 paper) and Artificial Intelligence in Games (1 paper). The work is most often cited by research in Health Informatics (8 citations), Information Systems and Management (29 citations), Computational Theory and Mathematics (57 citations), Computer Science Applications (13 citations) and Software (8 citations). Andrew McNutt has collaborated with scholars based in United States, Sweden and Mexico. Frequent co-authors include Alex M. Clark, Sean Ekins, Robert C. Reynolds, Joel S. Freundlich, George M. Grass, Robert DeLine, Steven M. Drucker, Sara Di Bartolomeo, Mennatallah El‐Assady and Jane L. Adams. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Computer Graphics Forum, IEEE Computer Graphics and Applications, Journal of Chemical Information and Modeling and Methods in molecular biology.
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.