William M. Wells
- Computer Vision and Pattern Recognition top 0.5%
- Radiology, Nuclear Medicine and Imaging top 2%
- Aerospace Engineering top 2%
- Biomedical Engineering top 10%
- Artificial Intelligence top 5%
- Co-authors
- Paul ViolaW. Eric L. GrimsonOlivier FaugerasMichael E. LeventonMatthew ToewsJoseph SchaferPolina GollandDavid L. Carter
- Topics
- Medical Image Segmentation Techniques (16 papers)Robotics and Sensor-Based Localization (11 papers)Advanced Image and Video Retrieval Techniques (8 papers)
- Cited by
- Computer Vision and Pattern RecognitionRadiology, Nuclear Medicine and ImagingMedia Technology
- Journals
- Journal of Geophysical Research AtmospheresGeophysicsInternational Journal of Computer Vision
- Partner nations
- United StatesFranceGermany
In The Last Decade
William M. Wells
37 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Computer Vision and Pattern Recognition 2.2k
- Radiology, Nuclear Medicine and Imaging 754
- Aerospace Engineering 687
- Biomedical Engineering 305
- Artificial Intelligence 300
Countries citing papers authored by William M. Wells
This map shows the geographic impact of William M. Wells'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 William M. Wells with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William M. Wells more than expected).
Fields of papers citing papers by William M. Wells
This network shows the impact of papers produced by William M. Wells. 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 William M. Wells. The network helps show where William M. Wells may publish in the future.
Co-authorship network of co-authors of William M. Wells
This figure shows the co-authorship network connecting the top 25 collaborators of William M. Wells. A scholar is included among the top collaborators of William M. Wells 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 William M. Wells. William M. Wells 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 | 2 | |
| 4 | 3 | |
| 5 | 13 | |
| 6 | 51 | |
| 7 | Segmentation of image ensembles via latent atlases | 1 |
| 8 | 82 | |
| 9 | 19 | |
| 10 | 86 | |
| 11 | 15 | |
| 12 | 28 | |
| 13 | 27 | |
| 14 | 13 | |
| 15 | 26 | |
| 16 | 96 | |
| 17 | Visual estimation of 3-D line segments from motion: a mobile robot vision system | 7 |
| 18 | 2 | |
| 19 | THERMAL STRESS FRACTURE CHARACTERISTICS OF BeO | 1 |
| 20 | 4 |
About William M. Wells
William M. Wells is a scholar working on Computer Vision and Pattern Recognition, Health Informatics and Aerospace Engineering, having authored 40 papers that have together received 3.1k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (16 papers), Robotics and Sensor-Based Localization (11 papers) and Advanced Image and Video Retrieval Techniques (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.2k citations), Radiology, Nuclear Medicine and Imaging (754 citations) and Media Technology (269 citations). William M. Wells has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Paul Viola, W. Eric L. Grimson, Olivier Faugeras, Michael E. Leventon, Matthew Toews, Joseph Schafer, Polina Golland, David L. Carter, Martha E. Shenton and Aparna Lakshmi Ratan. Their work appears in journals such as Journal of Geophysical Research Atmospheres, Geophysics and International Journal of Computer Vision.
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.