Michael A. Rupp

1.3k total citations
31 papers, 851 citations indexed

About

Michael A. Rupp is a scholar working on Social Psychology, Human-Computer Interaction and Sociology and Political Science. According to data from OpenAlex, Michael A. Rupp has authored 31 papers receiving a total of 851 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Social Psychology, 12 papers in Human-Computer Interaction and 5 papers in Sociology and Political Science. Recurrent topics in Michael A. Rupp's work include Human-Automation Interaction and Safety (14 papers), Traffic and Road Safety (5 papers) and Virtual Reality Applications and Impacts (5 papers). Michael A. Rupp is often cited by papers focused on Human-Automation Interaction and Safety (14 papers), Traffic and Road Safety (5 papers) and Virtual Reality Applications and Impacts (5 papers). Michael A. Rupp collaborates with scholars based in United States and Japan. Michael A. Rupp's co-authors include Janan A. Smither, Daniel S. McConnell, Jessica R. Michaelis, Michael Barnes, Jessie Y. C. Chen, Katelyn Procci, Daniel Barber, Joseph Mercado, Kimberly Stowers and James L. Szalma and has published in prestigious journals such as Computers in Human Behavior, Computers & Education and Accident Analysis & Prevention.

In The Last Decade

Michael A. Rupp

30 papers receiving 819 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael A. Rupp United States 12 352 249 101 87 84 31 851
Ben D. Sawyer United States 15 335 1.0× 253 1.0× 172 1.7× 93 1.1× 59 0.7× 54 980
Alexandra D. Kaplan United States 9 386 1.1× 206 0.8× 138 1.4× 52 0.6× 70 0.8× 13 844
Glyn Lawson United Kingdom 17 290 0.8× 374 1.5× 167 1.7× 42 0.5× 82 1.0× 56 1.0k
Richard J. Koubek United States 15 283 0.8× 250 1.0× 49 0.5× 91 1.0× 145 1.7× 55 926
Jelle Saldien Belgium 17 453 1.3× 160 0.6× 77 0.8× 79 0.9× 48 0.6× 90 1.1k
Jennifer Fowlkes United States 14 447 1.3× 210 0.8× 29 0.3× 71 0.8× 52 0.6× 46 1.0k
Leo Gugerty United States 17 702 2.0× 101 0.4× 59 0.6× 73 0.8× 29 0.3× 56 1.1k
Christian P. Janssen Netherlands 16 499 1.4× 245 1.0× 87 0.9× 26 0.3× 39 0.5× 62 916
Holger Luczak Germany 15 307 0.9× 175 0.7× 160 1.6× 22 0.3× 68 0.8× 139 1.2k
Janan A. Smither United States 16 271 0.8× 254 1.0× 93 0.9× 101 1.2× 249 3.0× 54 1.2k

Countries citing papers authored by Michael A. Rupp

Since Specialization
Citations

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

Fields of papers citing papers by Michael A. Rupp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael A. Rupp. 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 Michael A. Rupp. The network helps show where Michael A. Rupp may publish in the future.

Co-authorship network of co-authors of Michael A. Rupp

This figure shows the co-authorship network connecting the top 25 collaborators of Michael A. Rupp. A scholar is included among the top collaborators of Michael A. Rupp 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 Michael A. Rupp. Michael A. Rupp 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
3.
Rupp, Michael A., et al.. (2023). Towards Making XR 100% Accessible: A Discussion Panel. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 67(1). 1489–1494. 1 indexed citations
4.
Stowers, Kimberly, et al.. (2020). The IMPACT of Agent Transparency on Human Performance. IEEE Transactions on Human-Machine Systems. 50(3). 245–253. 37 indexed citations
5.
Rupp, Michael A., et al.. (2019). Age and Gender Differences in Performance for Operating a Robotic Manipulator. IEEE Transactions on Human-Machine Systems. 49(2). 137–149. 3 indexed citations
6.
Rupp, Michael A., Daniel S. McConnell, & Janan A. Smither. (2018). Examining associations between action game play and motor control. Acta Psychologica. 193. 55–65. 5 indexed citations
7.
Rupp, Michael A., Jessica R. Michaelis, Daniel S. McConnell, & Janan A. Smither. (2018). The role of individual differences on perceptions of wearable fitness device trust, usability, and motivational impact. Applied Ergonomics. 70. 77–87. 100 indexed citations
8.
Rupp, Michael A., et al.. (2017). Compensations for an Assistive Robotic Interface. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 61(1). 1793–1793. 1 indexed citations
9.
Rupp, Michael A., et al.. (2016). Driving under the influence of distraction: Examining dissociations between risk perception and engagement in distracted driving. Accident Analysis & Prevention. 97. 220–230. 25 indexed citations
10.
Rupp, Michael A., et al.. (2016). A Predictive Model for Use of an Assistive Robotic Manipulator: Human Factors Versus Performance in Pick-and-Place/Retrieval Tasks. IEEE Transactions on Human-Machine Systems. 46(6). 846–858. 7 indexed citations
11.
Michaelis, Jessica R., et al.. (2016). Describing the User Experience of Wearable Fitness Technology through Online Product Reviews. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 60(1). 1073–1077. 18 indexed citations
12.
Mercado, Joseph, Michael A. Rupp, Jessie Y. C. Chen, et al.. (2016). Intelligent Agent Transparency in Human–Agent Teaming for Multi-UxV Management. Human Factors The Journal of the Human Factors and Ergonomics Society. 58(3). 401–415. 239 indexed citations
13.
Rupp, Michael A., Jessica R. Michaelis, Daniel S. McConnell, & Janan A. Smither. (2016). The Impact of Technological Trust and Self-Determined Motivation on Intentions to use Wearable Fitness Technology. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 60(1). 1434–1438. 33 indexed citations
14.
Rupp, Michael A., et al.. (2015). Evaluating input device usability as a function of task difficulty in a tracking task. Ergonomics. 58(5). 722–735. 15 indexed citations
15.
Mercado, Joseph, et al.. (2015). Effects of Agent Transparency on Multi-Robot Management Effectiveness. 10 indexed citations
16.
Michaelis, Jessica R., et al.. (2015). The Effect of Vigil Length on Stress and Cognitive Fatigue. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 59(1). 916–920. 1 indexed citations
17.
Rupp, Michael A., et al.. (2015). Using Self-Determination Theory to Examine Differences in Motvation and Engagement in Video Gamers. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 59(1). 882–886. 1 indexed citations
18.
Rupp, Michael A., et al.. (2013). Improving Motorcycle Training Programs. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 57(1). 1485–1489. 3 indexed citations
19.
Rupp, Michael A., et al.. (2012). Design considerations to improve cognitive ergonomic issues of unmanned vehicle interfaces utilizing video game controllers. Work. 41(S1). 5609–5611. 1 indexed citations
20.
Ebert, Achim, Hans Hagen, Arnulph Fuhrmann, et al.. (2004). Virtual Try-On : Topics in Realistic, Individualized Dressing in Virtual Reality. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 29 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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