Steven J. Kass

3.9k citations
45 papers · 3.0k indexed · 1 hit paper · h-index 26

Steven J. Kass

41 papers receiving 2.8k citations

Hit Papers

A Factor Analytic Study of the Boredom Proneness Scale7821990202620022014250500750

Peers

Steven J. Kass
Comparison fields: 5 of 147
  • Experimental and Cognitive Psychology 682
  • Cognitive Neuroscience 953
  • Social Psychology 901
  • Applied Psychology 217
  • Clinical Psychology 861
Replace Richard Rowe with:
Richard Rowe United Kingdom
Cristiano Violani Italy
Fabio Lucidi Italy
Richard I. Kemp Australia
David Bunce United Kingdom
Nazan Aksan United States
Anna Maria Giannini Italy
Katharine R. Parkes United Kingdom
Raôul R. D. Oudejans Netherlands
Mark A. Elliott United Kingdom
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Citations per year

Countries citing papers authored by Steven J. Kass

Since Specialization
Citations

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

Fields of papers citing papers by Steven J. Kass

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven J. Kass. 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 Steven J. Kass. The network helps show where Steven J. Kass may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Steven J. Kass, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Steven J. Kass Line = papers co-authored together Steven J. Kass links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20167
2
Applying the job characteristics model to the college education experience
201115
3
Culture and Gender Differences in Boredom Proneness
201122
4
Customers' Views Toward The Insurance Industry Response Post-Hurricane
20110
5 201142
6 201055
7 201053
8 200911
9 200859
10 200655
11 2005157
12 2005196
13 2002220
14 2002135
15 20028
16 200048
17 199875
18
A Factor Analytic Study of the Boredom Proneness Scalebreakdown →
1990782
19
Boredom proneness: Its relationship to Type A behavior pattern and sensation seeking.
199045
20
Age and gender differences in boredom proneness.
199046

About Steven J. Kass

Steven J. Kass is a scholar working on Social Psychology, Cognitive Neuroscience and Human-Computer Interaction, having authored 45 papers that have together received 3.0k indexed citations. Recurring topics across this work include Mind wandering and attention (15 papers), Human-Automation Interaction and Safety (14 papers), Impact of Technology on Adolescents (6 papers), Perfectionism, Procrastination, Anxiety Studies (5 papers), Traffic and Road Safety (5 papers), Virtual Reality Applications and Impacts (5 papers), Team Dynamics and Performance (4 papers) and Trigeminal Neuralgia and Treatments (4 papers). The work is most often cited by research in Experimental and Cognitive Psychology (682 citations), Cognitive Neuroscience (953 citations) and Social Psychology (901 citations). Steven J. Kass has collaborated with scholars based in United States, Italy and Czechia. Frequent co-authors include Stephen J. Vodanovich, Claudia J. Stanny, J. Craig Wallace, Frank Andrasik, Licia Grazzi, Susanna Usai, Domenico D’Amico, Robert H. Ahlers, James E. Arruda and Gennaro Bussone. Their work appears in journals such as SHILAP Revista de lepidopterología, Accident Analysis & Prevention and Ergonomics.

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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