Jennifer Beaudin
- Computer Vision and Pattern Recognition top 10%
- Human-Computer Interaction top 5%
- Demography top 10%
- Computer Networks and Communications
- Management of Technology and Innovation top 10%
- Co-authors
- Stephen IntilleEmmanuel Munguia TapiaKent LarsonJason NawynPallavi KaushikMargaret E. MorrisAmy R. Knowlton
- Topics
- Innovative Human-Technology Interaction (4 papers)Context-Aware Activity Recognition Systems (3 papers)Interactive and Immersive Displays (1 paper)
- Cited by
- Human-Computer InteractionComputer Vision and Pattern RecognitionManagement of Technology and Innovation
- Partner nations
- United States
In The Last Decade
Jennifer Beaudin
6 papers receiving 226 citations
Peers
Comparison fields: 5 of 82
- Computer Vision and Pattern Recognition 105
- Human-Computer Interaction 78
- Demography 47
- Computer Networks and Communications 34
- Management of Technology and Innovation 34
Countries citing papers authored by Jennifer Beaudin
This map shows the geographic impact of Jennifer Beaudin'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 Jennifer Beaudin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer Beaudin more than expected).
Fields of papers citing papers by Jennifer Beaudin
This network shows the impact of papers produced by Jennifer Beaudin. 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 Jennifer Beaudin. The network helps show where Jennifer Beaudin may publish in the future.
Co-authorship network of co-authors of Jennifer Beaudin
This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer Beaudin. A scholar is included among the top collaborators of Jennifer Beaudin 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 Jennifer Beaudin. Jennifer Beaudin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 56 | |
| 2 | 123 | |
| 3 | 24 | |
| 4 | 19 | |
| 5 | RIGHT WHALE SIGHTINGS AND SURVEY EFFORT IN THE MID ATLANTIC REGION: MIGRATORY CORRIDOR, TIME FRAME, AND PROXIMITY TO PORT ENTRANCES A report submitted to the NMFS ship strike working group | 12 |
| 6 | 22 |
About Jennifer Beaudin
Jennifer Beaudin is a scholar working on Human-Computer Interaction, Architecture and Health Information Management, having authored 6 papers that have together received 256 indexed citations. Recurring topics across this work include Innovative Human-Technology Interaction (4 papers), Context-Aware Activity Recognition Systems (3 papers) and Interactive and Immersive Displays (1 paper). The work is most often cited by research in Human-Computer Interaction (78 citations), Computer Vision and Pattern Recognition (105 citations) and Management of Technology and Innovation (34 citations). Jennifer Beaudin has collaborated with scholars based in United States. Frequent co-authors include Stephen Intille, Emmanuel Munguia Tapia, Kent Larson, Jason Nawyn, Pallavi Kaushik, Margaret E. Morris and Amy R. Knowlton. Their work appears in journals such as Journal of Medical Internet Research and BT Technology Journal.
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.