Andrew McNutt
- Computational Theory and Mathematics top 10%
- Computer Vision and Pattern Recognition
- Molecular Biology
- Artificial Intelligence
- Information Systems and Management top 10%
- Co-authors
- Alex M. ClarkSean EkinsGeorge M. GrassRobert C. ReynoldsJoel S. FreundlichSteven M. DruckerRobert DeLineJane L. Adams
- Topics
- Data Visualization and Analytics (5 papers)Software Engineering Research (2 papers)Computational Drug Discovery Methods (2 papers)
- Journals
- Journal of Chemical Information and ModelingIEEE Transactions on Visualization and Computer GraphicsComputer Graphics Forum
- Partner nations
- United StatesAustriaMexico
In The Last Decade
Andrew McNutt
15 papers receiving 202 citations
Peers
Comparison fields: 5 of 82
- Computational Theory and Mathematics 57
- Computer Vision and Pattern Recognition 43
- Molecular Biology 39
- Artificial Intelligence 37
- Information Systems and Management 29
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-authorship network of co-authors of Andrew McNutt
This figure shows the co-authorship network connecting the top 25 collaborators of Andrew McNutt. A scholar is included among the top collaborators of Andrew McNutt 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 Andrew McNutt. Andrew McNutt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 13 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 26 | |
| 8 | 41 | |
| 9 | 2 | |
| 10 | 2 | |
| 11 | 7 | |
| 12 | 16 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 4 | |
| 17 | 9 | |
| 18 | 86 |
About Andrew McNutt
Andrew McNutt is a scholar working on Computer Science Applications, Information Systems and Management and Computer Vision and Pattern Recognition, having authored 18 papers that have together received 212 indexed citations. Recurring topics across this work include Data Visualization and Analytics (5 papers), Software Engineering Research (2 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Health Informatics (8 citations), Information Systems and Management (29 citations) and Computational Theory and Mathematics (57 citations). Andrew McNutt has collaborated with scholars based in United States, Austria and Mexico. Frequent co-authors include Alex M. Clark, Sean Ekins, George M. Grass, Robert C. Reynolds, Joel S. Freundlich, Steven M. Drucker, Robert DeLine, Jane L. Adams, Sara Di Bartolomeo and Mennatallah El‐Assady. Their work appears in journals such as Journal of Chemical Information and Modeling, IEEE Transactions on Visualization and Computer Graphics and Computer Graphics Forum.
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.