Michael Terry
About
In The Last Decade
Michael Terry
79 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Artificial Intelligence 928
- Computer Vision and Pattern Recognition 638
- Human-Computer Interaction 622
- Information Systems 429
- Computer Science Applications 345
Countries citing papers authored by Michael Terry
This map shows the geographic impact of Michael Terry'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 Michael Terry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Terry more than expected).
Fields of papers citing papers by Michael Terry
This network shows the impact of papers produced by Michael Terry. 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 Michael Terry. The network helps show where Michael Terry may publish in the future.
Co-authorship network of co-authors of Michael Terry
This figure shows the co-authorship network connecting the top 25 collaborators of Michael Terry. A scholar is included among the top collaborators of Michael Terry 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 Michael Terry. Michael Terry is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 13 | |
| 3 | 10 | |
| 4 | 11 | |
| 5 | 1 | |
| 6 | 49 | |
| 7 | 21 | |
| 8 | 43 | |
| 9 | 43 | |
| 10 | 22 | |
| 11 | 123 | |
| 12 | Segment Integrated Gradients: Better attributions through regions. | 3 |
| 13 | TensorFlow.js: Machine Learning for the Web and Beyond | 5 |
| 14 | 32 | |
| 15 | 13 | |
| 16 | 4 | |
| 17 | 27 | |
| 18 | 23 | |
| 19 | Characterizing large-scale use of a direct manipulation application in the wild | 17 |
| 20 | 93 |
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.