Jane Mulligan
- Computer Vision and Pattern Recognition top 5%
- Aerospace Engineering
- Media Technology top 5%
- Artificial Intelligence
- Computer Graphics and Computer-Aided Design top 10%
- Co-authors
- Wei XuGreg GrudicKostas DaniilidisVolkan IslerGregory Z. GrudićSoumya GhoshMichael OtteWeichao Chen
- Topics
- Advanced Vision and Imaging (8 papers)Robotics and Sensor-Based Localization (8 papers)Advanced Image and Video Retrieval Techniques (7 papers)
- Cited by
- Computer Vision and Pattern RecognitionMedia TechnologyComputer Graphics and Computer-Aided Design
- Partner nations
- United StatesChinaCanada
In The Last Decade
Jane Mulligan
18 papers receiving 349 citations
Peers
Comparison fields: 5 of 53
- Computer Vision and Pattern Recognition 302
- Aerospace Engineering 86
- Media Technology 69
- Artificial Intelligence 30
- Computer Graphics and Computer-Aided Design 23
Countries citing papers authored by Jane Mulligan
This map shows the geographic impact of Jane Mulligan'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 Jane Mulligan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jane Mulligan more than expected).
Fields of papers citing papers by Jane Mulligan
This network shows the impact of papers produced by Jane Mulligan. 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 Jane Mulligan. The network helps show where Jane Mulligan may publish in the future.
Co-authorship network of co-authors of Jane Mulligan
This figure shows the co-authorship network connecting the top 25 collaborators of Jane Mulligan. A scholar is included among the top collaborators of Jane Mulligan 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 Jane Mulligan. Jane Mulligan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 20 | |
| 3 | Panoramic video stitching | 10 |
| 4 | 120 | |
| 5 | 8 | |
| 6 | 6 | |
| 7 | 0 | |
| 8 | 11 | |
| 9 | 8 | |
| 10 | 37 | |
| 11 | 5 | |
| 12 | 14 | |
| 13 | An experimental analysis of classifier ensembles for learning drifting concepts over time in autonomous outdoor robot navigation | 10 |
| 14 | 10 | |
| 15 | 5 | |
| 16 | 9 | |
| 17 | 3D Tele-Collaboration Over Internet2 | 40 |
| 18 | 47 | |
| 19 | 2 |
About Jane Mulligan
Jane Mulligan is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Computer Graphics and Computer-Aided Design, having authored 19 papers that have together received 371 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (8 papers), Robotics and Sensor-Based Localization (8 papers) and Advanced Image and Video Retrieval Techniques (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (302 citations), Media Technology (69 citations) and Computer Graphics and Computer-Aided Design (23 citations). Jane Mulligan has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Wei Xu, Greg Grudic, Kostas Daniilidis, Volkan Isler, Wei Xu, Gregory Z. Grudić, Soumya Ghosh, Michael Otte, Weichao Chen and Henry Fuchs. Their work appears in journals such as International Journal of Computer Vision, Journal of Vision and Journal of Field Robotics.
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.