Elisabeth M. Fine
- Cognitive Neuroscience top 5%
- Epidemiology
- Radiology, Nuclear Medicine and Imaging top 10%
- Ophthalmology top 5%
- Human-Computer Interaction top 5%
- Co-authors
- Eli PeliGary S. RubinKeziah LathamSergey YurgensonTodd S. HorowitzJeremy M. WolfeDavid E. FencsikAdam Reeves
- Topics
- Visual perception and processing mechanisms (17 papers)Tactile and Sensory Interactions (14 papers)Gaze Tracking and Assistive Technology (7 papers)
- Partner nations
- United StatesSingaporeUnited Kingdom
In The Last Decade
Elisabeth M. Fine
28 papers receiving 592 citations
Peers
Comparison fields: 5 of 75
- Cognitive Neuroscience 409
- Epidemiology 187
- Radiology, Nuclear Medicine and Imaging 122
- Ophthalmology 119
- Human-Computer Interaction 98
Countries citing papers authored by Elisabeth M. Fine
This map shows the geographic impact of Elisabeth M. Fine'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 Elisabeth M. Fine with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elisabeth M. Fine more than expected).
Fields of papers citing papers by Elisabeth M. Fine
This network shows the impact of papers produced by Elisabeth M. Fine. 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 Elisabeth M. Fine. The network helps show where Elisabeth M. Fine may publish in the future.
Co-authorship network of co-authors of Elisabeth M. Fine
This figure shows the co-authorship network connecting the top 25 collaborators of Elisabeth M. Fine. A scholar is included among the top collaborators of Elisabeth M. Fine 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 Elisabeth M. Fine. Elisabeth M. Fine 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 | 7 | |
| 4 | 21 | |
| 5 | 9 | |
| 6 | 5 | |
| 7 | 13 | |
| 8 | 56 | |
| 9 | 8 | |
| 10 | 73 | |
| 11 | 38 | |
| 12 | 19 | |
| 13 | 27 | |
| 14 | 17 | |
| 15 | 18 | |
| 16 | 29 | |
| 17 | The necessary field of view to read with an optimal stand magnifier. | 14 |
| 18 | 0 | |
| 19 | 53 | |
| 20 | 24 |
About Elisabeth M. Fine
Elisabeth M. Fine is a scholar working on Human Factors and Ergonomics, Human-Computer Interaction and Cognitive Neuroscience, having authored 31 papers that have together received 628 indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (17 papers), Tactile and Sensory Interactions (14 papers) and Gaze Tracking and Assistive Technology (7 papers). The work is most often cited by research in Cognitive Neuroscience (409 citations), Human-Computer Interaction (98 citations) and Ophthalmology (119 citations). Elisabeth M. Fine has collaborated with scholars based in United States, Singapore and United Kingdom. Frequent co-authors include Eli Peli, Gary S. Rubin, Keziah Latham, Sergey Yurgenson, Todd S. Horowitz, Jeremy M. Wolfe, David E. Fencsik, Adam Reeves, Matthew P. Kirschen and Andreas Meier. Their work appears in journals such as Neurology, Psychological Science and Vision 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.