Frank Hardisty
- Geography, Planning and Development top 1%
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 10%
- Artificial Intelligence
- Sociology and Political Science
- Co-authors
- Alan M. MacEachrenAnthony C. RobinsonAlexander KlippelAmy L. GriffinBonan LiMark GaheganMasahiro TakatsukaWalter W. Piegorsch
- Topics
- Geographic Information Systems Studies (9 papers)Data Visualization and Analytics (7 papers)Data Management and Algorithms (6 papers)
- Cited by
- Geography, Planning and DevelopmentSignal ProcessingComputer Vision and Pattern Recognition
- Partner nations
- United StatesSlovakiaAustralia
In The Last Decade
Frank Hardisty
18 papers receiving 446 citations
Peers
Comparison fields: 5 of 93
- Geography, Planning and Development 188
- Computer Vision and Pattern Recognition 175
- Signal Processing 93
- Artificial Intelligence 83
- Sociology and Political Science 58
Countries citing papers authored by Frank Hardisty
This map shows the geographic impact of Frank Hardisty'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 Frank Hardisty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frank Hardisty more than expected).
Fields of papers citing papers by Frank Hardisty
This network shows the impact of papers produced by Frank Hardisty. 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 Frank Hardisty. The network helps show where Frank Hardisty may publish in the future.
Co-authorship network of co-authors of Frank Hardisty
This figure shows the co-authorship network connecting the top 25 collaborators of Frank Hardisty. A scholar is included among the top collaborators of Frank Hardisty 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 Frank Hardisty. Frank Hardisty 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 | 11 | |
| 3 | 34 | |
| 4 | 51 | |
| 5 | 1 | |
| 6 | 35 | |
| 7 | 5 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | 14 | |
| 11 | 49 | |
| 12 | 25 | |
| 13 | 11 | |
| 14 | 14 | |
| 15 | 42 | |
| 16 | 91 | |
| 17 | 12 | |
| 18 | Strategies for designing coordinated geographic visualization software for enumerated data: a component-based approach | 2 |
| 19 | 1 | |
| 20 | 69 |
About Frank Hardisty
Frank Hardisty is a scholar working on Geography, Planning and Development, Signal Processing and Computer Vision and Pattern Recognition, having authored 20 papers that have together received 483 indexed citations. Recurring topics across this work include Geographic Information Systems Studies (9 papers), Data Visualization and Analytics (7 papers) and Data Management and Algorithms (6 papers). The work is most often cited by research in Geography, Planning and Development (188 citations), Signal Processing (93 citations) and Computer Vision and Pattern Recognition (175 citations). Frank Hardisty has collaborated with scholars based in United States, Slovakia and Australia. Frequent co-authors include Alan M. MacEachren, Anthony C. Robinson, Alexander Klippel, Amy L. Griffin, Bonan Li, Mark Gahegan, Masahiro Takatsuka, Walter W. Piegorsch, Susan L. Cutter and Chris Weaver. Their work appears in journals such as PLoS ONE, Communications of the ACM and Expert Systems with Applications.
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.