Thad Starner
About
In The Last Decade
Thad Starner
6 papers receiving 310 citations
Peers
Comparison fields: 5 of 47
- Human-Computer Interaction 233
- Cognitive Neuroscience 194
- Computer Vision and Pattern Recognition 58
- Biomedical Engineering 43
- Electrical and Electronic Engineering 30
Countries citing papers authored by Thad Starner
This map shows the geographic impact of Thad Starner'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 Thad Starner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thad Starner more than expected).
Fields of papers citing papers by Thad Starner
This network shows the impact of papers produced by Thad Starner. 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 Thad Starner. The network helps show where Thad Starner may publish in the future.
Co-authorship network of co-authors of Thad Starner
This figure shows the co-authorship network connecting the top 25 collaborators of Thad Starner. A scholar is included among the top collaborators of Thad Starner 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 Thad Starner. Thad Starner 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 | 59 | |
| 3 | 8 | |
| 4 | 20 | |
| 5 | 51 | |
| 6 | 126 | |
| 7 | 54 |
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.