Jonathan Pfautz

442 total citations
32 papers, 219 citations indexed

About

Jonathan Pfautz is a scholar working on Social Psychology, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jonathan Pfautz has authored 32 papers receiving a total of 219 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Social Psychology, 15 papers in Artificial Intelligence and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jonathan Pfautz's work include Human-Automation Interaction and Safety (13 papers), Data Visualization and Analytics (7 papers) and Bayesian Modeling and Causal Inference (6 papers). Jonathan Pfautz is often cited by papers focused on Human-Automation Interaction and Safety (13 papers), Data Visualization and Analytics (7 papers) and Bayesian Modeling and Causal Inference (6 papers). Jonathan Pfautz collaborates with scholars based in United States, Germany and Netherlands. Jonathan Pfautz's co-authors include Emilie M. Roth, Ann M. Bisantz, Adam Fouse, Paul K Davis, Angela O’Mahony, Scott S. Potter, Eric J. Carlson, Priyadarshini R. Pennathur, Allen L. Nagy and Michael Jenkins and has published in prestigious journals such as International Journal of Approximate Reasoning, International Journal of Industrial Ergonomics and Procedia Manufacturing.

In The Last Decade

Jonathan Pfautz

28 papers receiving 195 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan Pfautz United States 9 92 52 51 44 36 32 219
Scott S. Potter United States 10 145 1.6× 45 0.9× 52 1.0× 43 1.0× 27 0.8× 27 297
Vincent Mancuso United States 13 232 2.5× 22 0.4× 52 1.0× 28 0.6× 151 4.2× 36 386
Tibor Bosse Netherlands 9 67 0.7× 29 0.6× 111 2.2× 43 1.0× 18 0.5× 29 245
Ranjeev Mittu United States 10 53 0.6× 18 0.3× 94 1.8× 31 0.7× 23 0.6× 34 268
Ricardo Santos Portugal 10 46 0.5× 45 0.9× 75 1.5× 20 0.5× 16 0.4× 31 246
Jyi-Shane Liu Taiwan 9 85 0.9× 17 0.3× 91 1.8× 28 0.6× 18 0.5× 23 285
Susan G. Hutchins United States 9 93 1.0× 11 0.2× 68 1.3× 45 1.0× 14 0.4× 55 248
C. A. P. Smith United States 11 166 1.8× 43 0.8× 49 1.0× 33 0.8× 21 0.6× 38 321
Michael K. Martin United States 8 70 0.8× 11 0.2× 94 1.8× 86 2.0× 11 0.3× 28 360
Rego Granlund Sweden 9 116 1.3× 19 0.4× 28 0.5× 86 2.0× 16 0.4× 34 294

Countries citing papers authored by Jonathan Pfautz

Since Specialization
Citations

This map shows the geographic impact of Jonathan Pfautz'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 Jonathan Pfautz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Pfautz more than expected).

Fields of papers citing papers by Jonathan Pfautz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan Pfautz. 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 Jonathan Pfautz. The network helps show where Jonathan Pfautz may publish in the future.

Co-authorship network of co-authors of Jonathan Pfautz

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Pfautz. A scholar is included among the top collaborators of Jonathan Pfautz 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 Jonathan Pfautz. Jonathan Pfautz 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.
Stern, Lauren, et al.. (2015). Application of Personality Theories for the Design and Development of Cross-cultural Decision-making Tools. Procedia Manufacturing. 3. 4006–4013. 2 indexed citations
2.
3.
Roth, Emilie M., John M. O’Hara, Ann M. Bisantz, et al.. (2014). Discussion Panel. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 58(1). 320–324. 5 indexed citations
4.
Romero, Victoria, et al.. (2014). A Prototype Toolkit for Sensing and Modeling Individual and Team State. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 58(1). 949–953. 2 indexed citations
5.
Romero, Victoria, et al.. (2013). Designing an Adaptive Approach for the Real-Time Assessment and Augmentation of Performance of Cyber Analyst Teams. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 57(1). 124–128. 1 indexed citations
6.
Stärk, Robert F., et al.. (2012). Mixed-initiative data mining with Bayesian networks. 107–110. 2 indexed citations
7.
Bisantz, Ann M., Michael Jenkins, Priyadarshini R. Pennathur, et al.. (2011). Comparing Uncertainty Visualizations for a Dynamic Decision-Making Task. Journal of Cognitive Engineering and Decision Making. 5(3). 277–293. 30 indexed citations
8.
Roth, Emilie M., et al.. (2010). Framing and Contextualizing Information Requests: Problem Formulation as Part of the Intelligence Analysis Process. Journal of Cognitive Engineering and Decision Making. 4(3). 210–239. 18 indexed citations
9.
Pfautz, Jonathan, Eric J. Carlson, David M. Koelle, & Emilie M. Roth. (2009). User-Created and User-Adaptable Technosocial Modeling Methods.. National Conference on Artificial Intelligence. 88–94. 2 indexed citations
10.
Pfautz, Jonathan, et al.. (2009). Enabling Robust C2 Systems through Evolvable Human-in-the-Loop Data Fusion. 1 indexed citations
11.
Pfautz, Jonathan, David M. Koelle, Eric J. Carlson, & Emilie M. Roth. (2009). Complexities and Challenges in the Use of Bayesian Belief Networks: Informing the Design of Causal Influence Models. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 53(4). 237–241.
12.
Bisantz, Ann M., Richard Stone, Jonathan Pfautz, et al.. (2009). Visual Representations of Meta-Information. Journal of Cognitive Engineering and Decision Making. 3(1). 67–91. 29 indexed citations
13.
Carlson, Eric J., et al.. (2008). Methods for representing bias in Bayesian networks. 53–59. 1 indexed citations
14.
Pfautz, Jonathan, et al.. (2008). An experimental procedure for evaluating user-centered methods for rapid Bayesian network construction. 39–43. 2 indexed citations
15.
Pfautz, Jonathan, et al.. (2006). Cognitive Complexities Impacting Army Intelligence Analysis. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 50(3). 452–456. 8 indexed citations
16.
Pfautz, Jonathan, et al.. (2006). Beyond uncertainty. 164–164.
17.
Pfautz, Jonathan, et al.. (2006). The Role of Meta-Information in C2 Decision-Support Systems. Defense Technical Information Center (DTIC). 15 indexed citations
18.
Fouse, Adam & Jonathan Pfautz. (2006). A Novel Approach to Bridging the GAP between Cognitive Engineers and Software System Engineers. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 50(17). 1867–1871.
19.
Bisantz, Ann M., et al.. (2006). Assessment of Display Attributes for Displaying Metainformation on Maps. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 50(3). 289–293. 2 indexed citations
20.
Pfautz, Jonathan. (2001). <title>Sampling artifacts in perspective and stereo displays</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4297. 54–62. 8 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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