Frank Hardisty

26 total papers · 722 total citations
20 papers, 481 citations indexed

About

Frank Hardisty is a scholar working on Geography, Planning and Development, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Frank Hardisty has authored 20 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Geography, Planning and Development, 7 papers in Computer Vision and Pattern Recognition and 6 papers in Signal Processing. Recurrent topics in Frank Hardisty's work include Geographic Information Systems Studies (9 papers), Data Visualization and Analytics (7 papers) and Data Management and Algorithms (6 papers). Frank Hardisty is often cited by papers focused on Geographic Information Systems Studies (9 papers), Data Visualization and Analytics (7 papers) and Data Management and Algorithms (6 papers). Frank Hardisty collaborates with scholars based in United States, Australia and Slovakia. Frank Hardisty's co-authors include Alan M. MacEachren, Anthony C. Robinson, Alexander Klippel, Amy L. Griffin, Bonan Li, Masahiro Takatsuka, Mark Gahegan, Susan L. Cutter, Walter W. Piegorsch and Rui Li and has published in prestigious journals such as PLoS ONE, Communications of the ACM and Expert Systems with Applications.

In The Last Decade

Frank Hardisty

18 papers receiving 444 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Frank Hardisty 187 174 93 83 58 20 481
Peter Gatalsky 193 1.0× 284 1.6× 186 2.0× 65 0.8× 30 0.5× 10 538
S. Wróbel 202 1.1× 192 1.1× 161 1.7× 41 0.5× 22 0.4× 5 443
Borden D. Dent 243 1.3× 142 0.8× 102 1.1× 32 0.4× 31 0.5× 7 510
Abish Malik 47 0.3× 255 1.5× 77 0.8× 103 1.2× 93 1.6× 30 427
Ferjan Ormeling 251 1.3× 91 0.5× 115 1.2× 41 0.5× 56 1.0× 55 525
Robert B Mc Master 367 2.0× 58 0.3× 193 2.1× 47 0.6× 29 0.5× 10 532
Kate Beard 201 1.1× 75 0.4× 165 1.8× 53 0.6× 13 0.2× 37 487
Xi Zhu 67 0.4× 130 0.7× 139 1.5× 30 0.4× 22 0.4× 13 506
Richard Milton 194 1.0× 35 0.2× 104 1.1× 39 0.5× 54 0.9× 21 471
Russ Burtner 51 0.3× 106 0.6× 35 0.4× 71 0.9× 77 1.3× 11 460

Countries citing papers authored by Frank Hardisty

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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.

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