Shawna Thomas
Impact in
-
- Robotic Path Planning Algorithms
Papers in
-
- Robotic Path Planning Algorithms 24
-
- Protein Structure and Dynamics 16
- RNA and protein synthesis mechanisms 7
- Co-authors
- Nancy M. Amato (42 shared papers)Xinyu Tang (6 shared papers)Guang Song (5 shared papers)Lydia Tapia (7 shared papers)Jyh‐Ming Lien (1 shared paper)Jory Denny (4 shared papers)Sam Adé Jacobs (4 shared papers)David Giedroc (1 shared paper)
- Journals
- Journal of Computational Biology (3 papers)IEEE Robotics and Automation Letters (2 papers)The International Journal of Robotics Research (2 papers)BMC Systems Biology (1 paper)Bioinformatics (1 paper)
- Partner nations
- United StatesMalaysiaNepal
In The Last Decade
Shawna Thomas
47 papers receiving 655 citations
Peers
Comparison fields: 5 of 61
- Computer Vision and Pattern Recognition 376
- Computer Graphics and Computer-Aided Design 39
- Aerospace Engineering 221
- Control and Systems Engineering 195
- Software 23
Countries citing papers authored by Shawna Thomas
This map shows the geographic impact of Shawna Thomas'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 Shawna Thomas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shawna Thomas more than expected).
Fields of papers citing papers by Shawna Thomas
This network shows the impact of papers produced by Shawna Thomas. 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 Shawna Thomas. The network helps show where Shawna Thomas may publish in the future.
Co-authors
The 25 scholars most cited alongside Shawna Thomas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 55 | |
| 2 | 2007 | 47 | |
| 3 | 2008 | 46 | |
| 4 | 2005 | 40 | |
| 5 | 2005 | 36 | |
| 6 | 2014 | 33 | |
| 7 | 2012 | 31 | |
| 8 | 2020 | 30 | |
| 9 | 2013 | 28 | |
| 10 | 2007 | 24 | |
| 11 | 2002 | 22 | |
| 12 | 2010 | 21 | |
| 13 | 2014 | 20 | |
| 14 | 2004 | 19 | |
| 15 | 2012 | 19 | |
| 16 | 2010 | 18 | |
| 17 | 2007 | 17 | |
| 18 | 2013 | 14 | |
| 19 | 2016 | 13 | |
| 20 | 2015 | 12 |
About Shawna Thomas
Shawna Thomas is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology, Aerospace Engineering, Control and Systems Engineering and Artificial Intelligence, having authored 50 papers that have together received 681 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (24 papers), Robotics and Sensor-Based Localization (16 papers), Protein Structure and Dynamics (16 papers), Robot Manipulation and Learning (11 papers), RNA and protein synthesis mechanisms (7 papers), Software Testing and Debugging Techniques (4 papers), Robotic Mechanisms and Dynamics (4 papers) and Enzyme Structure and Function (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (376 citations), Computer Graphics and Computer-Aided Design (39 citations), Aerospace Engineering (221 citations), Control and Systems Engineering (195 citations) and Software (23 citations). Shawna Thomas has collaborated with scholars based in United States, Malaysia and Nepal. Frequent co-authors include Nancy M. Amato, Xinyu Tang, Guang Song, Lydia Tapia, Jyh‐Ming Lien, Jory Denny, Sam Adé Jacobs, David Giedroc, David Eppstein and Marco Morales. Their work appears in journals such as Journal of Computational Biology, IEEE Robotics and Automation Letters, The International Journal of Robotics Research, BMC Systems Biology and Bioinformatics.
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.