Carol Paris

526 total citations
10 papers, 306 citations indexed

About

Carol Paris is a scholar working on Artificial Intelligence, Social Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Carol Paris has authored 10 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Social Psychology and 3 papers in Experimental and Cognitive Psychology. Recurrent topics in Carol Paris's work include Complex Systems and Decision Making (3 papers), Speech and dialogue systems (2 papers) and Team Dynamics and Performance (2 papers). Carol Paris is often cited by papers focused on Complex Systems and Decision Making (3 papers), Speech and dialogue systems (2 papers) and Team Dynamics and Performance (2 papers). Carol Paris collaborates with scholars based in United States. Carol Paris's co-authors include Eduardo Salas, Janis A. Cannon‐Bowers, Richard D. Gilson, Margaret H. Thomas, C. A. P. Smith, Joan H. Johnston, J. Peter Kincaid, N. Clayton Silver, Stanley M. Halpin and Peter Essens and has published in prestigious journals such as Human Factors The Journal of the Human Factors and Ergonomics Society, Ergonomics and Group Decision and Negotiation.

In The Last Decade

Carol Paris

8 papers receiving 255 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carol Paris United States 6 138 50 40 36 34 10 306
Denise Nicholson United States 11 122 0.9× 74 1.5× 19 0.5× 37 1.0× 40 1.2× 41 444
Beth Blickensderfer United States 9 216 1.6× 36 0.7× 35 0.9× 10 0.3× 27 0.8× 59 407
Jared Freeman United States 7 149 1.1× 81 1.6× 82 2.0× 21 0.6× 31 0.9× 42 337
Caroline E. Zsambok United States 6 89 0.6× 34 0.7× 42 1.1× 25 0.7× 17 0.5× 19 258
Ute Fischer United States 15 285 2.1× 72 1.4× 35 0.9× 37 1.0× 98 2.9× 51 543
Jasmine L. Duran United States 4 327 2.4× 80 1.6× 84 2.1× 28 0.8× 36 1.1× 8 459
Marvin L. Thordsen United States 7 119 0.9× 43 0.9× 34 0.8× 8 0.2× 31 0.9× 16 231
Michael Letsky United States 8 287 2.1× 90 1.8× 93 2.3× 33 0.9× 17 0.5× 12 472
Davin Pavlas United States 12 176 1.3× 64 1.3× 28 0.7× 90 2.5× 28 0.8× 27 649
Heather A. Priest United States 8 137 1.0× 33 0.7× 18 0.5× 20 0.6× 50 1.5× 19 375

Countries citing papers authored by Carol Paris

Since Specialization
Citations

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

Fields of papers citing papers by Carol Paris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carol Paris

This figure shows the co-authorship network connecting the top 25 collaborators of Carol Paris. A scholar is included among the top collaborators of Carol Paris 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 Carol Paris. Carol Paris is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Johnston, Joan H., Stephen M. Fiore, Carol Paris, & C. A. P. Smith. (2013). Application of Cognitive Load Theory to Develop a Measure of Team Cognitive Efficiency. Military Psychology. 25(3). 252–265. 10 indexed citations
2.
Paris, Carol, et al.. (2007). Human Performance Technology: A Discipline to Improve C2 Concept Development and Analysis. Defense Technical Information Center (DTIC).
3.
Essens, Peter, et al.. (2005). Military Command Team Effectiveness: Model and Instrument for Assessment and Improvement. 146. 22 indexed citations
4.
Essens, Peter, et al.. (2005). Military Command Team Effectiveness: Model and Instrument for Assessment and Improvement (L'efficacite des Equipes de Commandement Militaires: un Modele et un Instrument Pour L'evaluation et L'amelioration). Defense Technical Information Center (DTIC).
5.
Smith, C. A. P., Joan H. Johnston, & Carol Paris. (2004). Decision Support for Air Warfare: Detection of Deceptive Threats. Group Decision and Negotiation. 13(2). 129–148. 21 indexed citations
6.
Johnston, Joan H., Stephen M. Fiore, Carol Paris, & C. A. P. Smith. (2002). Application of Cognitive Load Theory to Developing a Measure of Team Decision Efficiency. 3 indexed citations
7.
Paris, Carol, Margaret H. Thomas, Richard D. Gilson, & J. Peter Kincaid. (2000). Linguistic Cues and Memory for Synthetic and Natural Speech. Human Factors The Journal of the Human Factors and Ergonomics Society. 42(3). 421–431. 37 indexed citations
8.
Paris, Carol, Eduardo Salas, & Janis A. Cannon‐Bowers. (2000). Teamwork in multi-person systems: a review and analysis. Ergonomics. 43(8). 1052–1075. 197 indexed citations
9.
Burns, J.J., et al.. (1998). Application of Hand-Held PC Technology to Support Evaluation of Tactical Decision Making Performance. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 42(20). 1422–1426. 1 indexed citations
10.
Paris, Carol, Richard D. Gilson, Margaret H. Thomas, & N. Clayton Silver. (1995). Effect of Synthetic Voice Intelligibility on Speech Comprehension. Human Factors The Journal of the Human Factors and Ergonomics Society. 37(2). 335–340. 15 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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