Donna J. Peuquet
- Geography, Planning and Development top 0.05%
- Signal Processing top 0.5%
- Computer Networks and Communications top 5%
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Co-authors
- Duane F. MarbleJeremy MennisMark GaheganDiansheng GuoM.J. KraakEric A. WhitselAlan M. MacEachrenHung-Mo Lin
- Topics
- Geographic Information Systems Studies (48 papers)Data Management and Algorithms (28 papers)Data Visualization and Analytics (10 papers)
- Partner nations
- United StatesSlovakiaChina
In The Last Decade
Donna J. Peuquet
61 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 129
- Geography, Planning and Development 1.2k
- Signal Processing 1.1k
- Computer Networks and Communications 423
- Computer Vision and Pattern Recognition 372
- Artificial Intelligence 346
Countries citing papers authored by Donna J. Peuquet
This map shows the geographic impact of Donna J. Peuquet'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 Donna J. Peuquet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Donna J. Peuquet more than expected).
Fields of papers citing papers by Donna J. Peuquet
This network shows the impact of papers produced by Donna J. Peuquet. 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 Donna J. Peuquet. The network helps show where Donna J. Peuquet may publish in the future.
Co-authorship network of co-authors of Donna J. Peuquet
This figure shows the co-authorship network connecting the top 25 collaborators of Donna J. Peuquet. A scholar is included among the top collaborators of Donna J. Peuquet 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 Donna J. Peuquet. Donna J. Peuquet is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 1 | |
| 3 | 15 | |
| 4 | 9 | |
| 5 | 34 | |
| 6 | 25 | |
| 7 | 12 | |
| 8 | 32 | |
| 9 | 134 | |
| 10 | Representations of space and time | 179 |
| 11 | 9 | |
| 12 | 3 | |
| 13 | ARC/INFO: an example of a contemporary geographic information system | 5 |
| 14 | 4 | |
| 15 | 9 | |
| 16 | 5 | |
| 17 | 11 | |
| 18 | 28 | |
| 19 | 0 | |
| 20 | 1 |
About Donna J. Peuquet
Donna J. Peuquet is a scholar working on Geography, Planning and Development, Signal Processing and Tourism, Leisure and Hospitality Management, having authored 66 papers that have together received 2.3k indexed citations. Recurring topics across this work include Geographic Information Systems Studies (48 papers), Data Management and Algorithms (28 papers) and Data Visualization and Analytics (10 papers). The work is most often cited by research in Geography, Planning and Development (1.2k citations), Signal Processing (1.1k citations) and Transportation (215 citations). Donna J. Peuquet has collaborated with scholars based in United States, Slovakia and China. Frequent co-authors include Duane F. Marble, Jeremy Mennis, Mark Gahegan, Diansheng Guo, M.J. Kraak, Eric A. Whitsel, Alan M. MacEachren, Hung-Mo Lin, Duanping Liao and Richard L. Smith. Their work appears in journals such as Environmental Health Perspectives, Pattern Recognition and Epidemiology.
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.