John Patterson

83 papers receiving 1.4k citations

Peers

John Patterson
Comparison fields: 5 of 162
  • Computer Science Applications 170
  • Human-Computer Interaction 164
  • Information Systems 408
  • Experimental and Cognitive Psychology 120
  • Software 39
Replace Maria De Marsico with:
Maria De Marsico Italy
Inayat Khan Pakistan
Roman Bednarik Finland
Philip Gray United Kingdom
Felix Bießmann Germany
Nam Wook Kim South Korea
James Law United Kingdom
V. Ramalingam India
Kathleen Carter United States
Jianhui Chen China
John Patterson relative to Maria De Marsico Italy Maria De Marsico's profile →
Citations per field
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Citations per year

Countries citing papers authored by John Patterson

Since Specialization
Citations

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

Fields of papers citing papers by John Patterson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200398
2 200392
3 200089
4 200484
5 200470
6 199968
7 200465
8 202260
9 202047
10 197842
11 195739
12 199437
13 196635
14
Silodosin inhibits the growth of bladder cancer cells and enhances the cytotoxic activity of cisplatin via ELK1 inactivation.
201532
15 202331
16 200828
17 198828
18 199626
19 196826
20 202426

About John Patterson

John Patterson is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology, Developmental and Educational Psychology, Information Systems and Human-Computer Interaction, having authored 86 papers that have together received 1.5k indexed citations. Recurring topics across this work include Olfactory and Sensory Function Studies (7 papers), Creativity in Education and Neuroscience (7 papers), Software Engineering Techniques and Practices (6 papers), Usability and User Interface Design (6 papers), Child and Animal Learning Development (5 papers), Software Engineering Research (5 papers), Language, Metaphor, and Cognition (4 papers) and Advanced Chemical Sensor Technologies (4 papers). The work is most often cited by research in Computer Science Applications (170 citations), Human-Computer Interaction (164 citations), Information Systems (408 citations), Experimental and Cognitive Psychology (120 citations) and Software (39 citations). John Patterson has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Li-Te Cheng, Steven Ross, Susanne Hupfer, Cleidson R. B. de Souza, David Redmiles, David R. Millen, Baxter F. Womack, J.B. Finean, Roger E. Beaty and J. A. Blain. Their work appears in journals such as Cognitive Science, Behavior Research Methods, Journal of Neurochemistry, IEEE Transactions on Automatic Control and The American Journal of Emergency Medicine.

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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