Frank Hardisty

724 total citations
20 papers, 483 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 483 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, Slovakia and Australia. Frank Hardisty's co-authors include Alan M. MacEachren, Anthony C. Robinson, Alexander Klippel, Bonan Li, Amy L. Griffin, Masahiro Takatsuka, Mark Gahegan, Walter W. Piegorsch, Susan L. Cutter 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 446 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Frank Hardisty United States 12 188 175 93 83 58 20 483
Peter Gatalsky Germany 8 194 1.0× 287 1.6× 187 2.0× 66 0.8× 30 0.5× 10 542
S. Wróbel Germany 4 201 1.1× 192 1.1× 161 1.7× 41 0.5× 22 0.4× 5 442
Jochen Schiewe Germany 13 169 0.9× 220 1.3× 58 0.6× 64 0.8× 51 0.9× 59 646
Hansi Senaratne Germany 6 258 1.4× 172 1.0× 166 1.8× 117 1.4× 56 1.0× 17 655
Ferjan Ormeling Netherlands 8 252 1.3× 91 0.5× 115 1.2× 41 0.5× 56 1.0× 55 527
Kate Beard United States 13 201 1.1× 75 0.4× 165 1.8× 54 0.7× 13 0.2× 37 490
Yukio Sadahiro Japan 14 88 0.5× 90 0.5× 86 0.9× 24 0.3× 59 1.0× 89 641
Xi Zhu China 9 69 0.4× 132 0.8× 140 1.5× 30 0.4× 23 0.4× 13 515
Robert B Mc Master Slovakia 8 368 2.0× 58 0.3× 193 2.1× 47 0.6× 29 0.5× 10 532
Russ Burtner United States 7 51 0.3× 108 0.6× 36 0.4× 71 0.9× 76 1.3× 11 464

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

20 of 20 papers shown
1.
Luo, Wei, Peifeng Yin, Qian Di, Frank Hardisty, & Alan M. MacEachren. (2014). A Geovisual Analytic Approach to Understanding Geo-Social Relationships in the International Trade Network. PLoS ONE. 9(2). e88666–e88666. 15 indexed citations
2.
3.
Karimzadeh, Morteza, Wenyi Huang, Siddhartha Banerjee, et al.. (2013). GeoTxt. 72–73. 34 indexed citations
4.
Olawoyin, Richard, Antonio Nieto, R. Larry Grayson, Frank Hardisty, & Samuel A. Oyewole. (2012). Application of artificial neural network (ANN)–self-organizing map (SOM) for the categorization of water, soil and sediment quality in petrochemical regions. Expert Systems with Applications. 40(9). 3634–3648. 51 indexed citations
5.
Hardisty, Frank, Donna J. Peuquet, Sen Xu, & Anthony C. Robinson. (2011). Methods for ad-hoc delineation and analysis of categories of spatio-temporal events. 1–1. 1 indexed citations
6.
Andris, Clio, Samuel Halverson, & Frank Hardisty. (2011). Predicting migration system dynamics with conditional and posterior probabilities. 192–197. 5 indexed citations
7.
Klippel, Alexander, Frank Hardisty, & Rui Li. (2011). Interpreting Spatial Patterns: An Inquiry Into Formal and Cognitive Aspects of Tobler's First Law of Geography. Annals of the Association of American Geographers. 101(5). 1011–1031. 35 indexed citations
8.
Hardisty, Frank, et al.. (2011). The geospatial revolution project. 1–1. 1 indexed citations
9.
Hardisty, Frank. (2011). Cloud computing for syndromic surveillance. 4(0).
10.
Luo, Wei, Alan M. MacEachren, Peifeng Yin, & Frank Hardisty. (2011). Spatial-social network visualization for exploratory data analysis. 65–68. 14 indexed citations
11.
Hardisty, Frank & Anthony C. Robinson. (2010). The geoviz toolkit: using component-oriented coordination methods for geographic visualization and analysis. International Journal of Geographical Information Systems. 25(2). 191–210. 49 indexed citations
12.
Klippel, Alexander, Frank Hardisty, & Chris Weaver. (2009). Star Plots: How Shape Characteristics Influence Classification Tasks. Cartography and Geographic Information Science. 36(2). 149–163. 25 indexed citations
13.
Hardisty, Frank. (2009). GeoJabber: Enabling Geo-Collaborative Visual Analysis. Cartography and Geographic Information Science. 36(3). 267–280. 11 indexed citations
14.
Klippel, Alexander, et al.. (2009). Colour-Enhanced Star Plot Glyphs: Can Salient Shape Characteristics Be Overcome?. Cartographica The International Journal for Geographic Information and Geovisualization. 44(3). 217–231. 14 indexed citations
15.
Piegorsch, Walter W., Susan L. Cutter, & Frank Hardisty. (2007). Benchmark Analysis for Quantifying Urban Vulnerability to Terrorist Incidents. Risk Analysis. 27(6). 1411–1425. 42 indexed citations
16.
Griffin, Amy L., et al.. (2006). A Comparison of Animated Maps with Static Small-Multiple Maps for Visually Identifying Space-Time Clusters. Annals of the Association of American Geographers. 96(4). 740–753. 91 indexed citations
17.
MacEachren, Alan M. & Frank Hardisty. (2003). Strategies for designing coordinated geographic visualization software for enumerated data: a component-based approach. 2 indexed citations
18.
MacEachren, Alan M., et al.. (2003). Supporting visual analysis of federal geospatial statistics. Communications of the ACM. 46(1). 59–60. 12 indexed citations
19.
Hardisty, Frank, et al.. (2002). Conditioned and manipulable matrix for visual exploration. International Conference on Digital Government Research. 1–4. 1 indexed citations
20.
Gahegan, Mark, et al.. (2002). Introducing GeoVISTA Studio: an integrated suite of visualization and computational methods for exploration and knowledge construction in geography. Computers Environment and Urban Systems. 26(4). 267–292. 69 indexed citations

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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