Kree Cole-McLaughlin
Impact in
-
- Computer Graphics and Visualization Techniques
- Computational Geometry and Mesh Generation
-
- Topological and Geometric Data Analysis
Papers in
-
- Digital Image Processing Techniques 2
- Advanced Vision and Imaging 2
- Video Analysis and Summarization 1
- Data Visualization and Analytics 1
-
- Topological and Geometric Data Analysis 5
- Co-authors
- Valerio Pascucci (5 shared papers)Vijay Natarajan (3 shared papers)Herbert Edelsbrunner (3 shared papers)John Harer (3 shared papers)Shrikanth Narayanan (1 shared paper)Yin Cui (1 shared paper)Krishna Somandepalli (1 shared paper)Haoyang Zhang (1 shared paper)
- Journals
- Discrete & Computational Geometry (1 paper)Algorithmica (1 paper)2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (1 paper)University of North Texas Digital Library (University of North Texas) (1 paper)OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (2 papers)
- Partner nations
- United States
In The Last Decade
Kree Cole-McLaughlin
7 papers receiving 230 citations
Peers
Comparison fields: 5 of 46
- Computer Graphics and Computer-Aided Design 84
- Computational Theory and Mathematics 143
- Computer Vision and Pattern Recognition 162
- Biophysics 33
- Computational Mechanics 54
Countries citing papers authored by Kree Cole-McLaughlin
This map shows the geographic impact of Kree Cole-McLaughlin'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 Kree Cole-McLaughlin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kree Cole-McLaughlin more than expected).
Fields of papers citing papers by Kree Cole-McLaughlin
This network shows the impact of papers produced by Kree Cole-McLaughlin. 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 Kree Cole-McLaughlin. The network helps show where Kree Cole-McLaughlin may publish in the future.
Co-authors
The 9 scholars most cited alongside Kree Cole-McLaughlin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 65 | |
| 2 | 2003 | 62 | |
| 3 | 2004 | 59 | |
| 4 | 2003 | 30 | |
| 5 | 2003 | 11 | |
| 6 | 2023 | 11 | |
| 7 | Multi-Resolution Representation of Topology | 2004 | 1 |
About Kree Cole-McLaughlin
Kree Cole-McLaughlin is a scholar working on Computer Vision and Pattern Recognition, Computational Theory and Mathematics, Discrete Mathematics and Combinatorics, Computer Graphics and Computer-Aided Design and Geometry and Topology, having authored 7 papers that have together received 239 indexed citations. Recurring topics across this work include Topological and Geometric Data Analysis (5 papers), Advanced Combinatorial Mathematics (3 papers), Computer Graphics and Visualization Techniques (2 papers), Digital Image Processing Techniques (2 papers), Advanced Vision and Imaging (2 papers), Data Management and Algorithms (1 paper), Video Analysis and Summarization (1 paper) and Data Visualization and Analytics (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (84 citations), Computational Theory and Mathematics (143 citations), Computer Vision and Pattern Recognition (162 citations), Biophysics (33 citations) and Computational Mechanics (54 citations). Kree Cole-McLaughlin has collaborated with scholars based in United States. Frequent co-authors include Valerio Pascucci, Vijay Natarajan, Herbert Edelsbrunner, John Harer, Shrikanth Narayanan, Yin Cui, Krishna Somandepalli, Haoyang Zhang and Huisheng Wang. Their work appears in journals such as Discrete & Computational Geometry, Algorithmica, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), University of North Texas Digital Library (University of North Texas) and OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).
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.