Jonathan Kass

1.3k citations
33 papers · 1.0k · h-index 15

Impact in

Papers in

Jonathan Kass

32 papers receiving 959 citations

Peers

Jonathan Kass
Comparison fields: 5 of 113
  • Human-Computer Interaction 99
  • Experimental and Cognitive Psychology 157
  • Critical Care and Intensive Care Medicine 49
  • Computer Science Applications 67
  • Anesthesiology and Pain Medicine 50
Replace Samsun Lampotang with:
Samsun Lampotang United States
James C. Rosser United States
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Sandra Barteit Germany
Carla M. Pugh United States
Marshall Smith United States
Larry Katz Canada
Andreas Lymberis Belgium
Leif Hedman Sweden
James E. Lewis United States
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Citations per field
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Citations per year

Countries citing papers authored by Jonathan Kass

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Kass

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jonathan 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 Jonathan Kass Line = papers co-authored together Jonathan Kass links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010289
2 1995112
3 1999109
4 1992106
5 199658
6 199847
7 197845
8 197838
9 201136
10 201126
11
The Effect of Parallel Prototyping on Design Performance, Learning, and Self-Efficacy
200925
12 200424
13 200424
14 197621
15 201316
16 199011
17 201111
18
Goodpasture's syndrome.
19876
19 20126
20 20195

About Jonathan Kass

Jonathan Kass is a scholar working on Pulmonary and Respiratory Medicine, Experimental and Cognitive Psychology, Physiology, Surgery and Cognitive Neuroscience, having authored 33 papers that have together received 1.0k indexed citations. Recurring topics across this work include Chronic Obstructive Pulmonary Disease (COPD) Research (6 papers), Obstructive Sleep Apnea Research (4 papers), Respiratory Support and Mechanisms (3 papers), Design Education and Practice (3 papers), Phonetics and Phonology Research (3 papers), Creativity in Education and Neuroscience (3 papers), Pleural and Pulmonary Diseases (3 papers) and Respiratory and Cough-Related Research (3 papers). The work is most often cited by research in Human-Computer Interaction (99 citations), Experimental and Cognitive Psychology (157 citations), Critical Care and Intensive Care Medicine (49 citations), Computer Science Applications (67 citations) and Anesthesiology and Pain Medicine (50 citations). Jonathan Kass has collaborated with scholars based in United States, Brazil and Saudi Arabia. Frequent co-authors include Richard J. Castriotta, Steven P. Dow, Scott Klemmer, Daniel L. Schwartz, Philip A. Morse, Melvin R. Pratter, Thaddeus Bartter, Lewis A. Leavitt, Ziad Boujaoude and Michael E. Chansky. Their work appears in journals such as CHEST Journal, American Journal of Kidney Diseases, Child Development, ACM Transactions on Computer-Human Interaction and Respiration.

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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