Peter H. Kahn

111 papers receiving 5.9k citations

Peter H. Kahn's Hit Papers

Nature Contact and Human Health: A Research Agenda 2017 · 851 citations
8510+3+6Years since publication250500750

Peers

Peter H. Kahn
Comparison fields: 5 of 157
  • Health, Toxicology and Mutagenesis 2.0k
  • Social Psychology 2.7k
  • Human-Computer Interaction 566
  • Management, Monitoring, Policy and Law 965
  • Safety Research 475
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John H. Falk United States
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Citations per year

Countries citing papers authored by Peter H. Kahn

Since Specialization
Citations

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

Fields of papers citing papers by Peter H. Kahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter H. Kahn. 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 Peter H. Kahn. The network helps show where Peter H. Kahn may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 118 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Nature Contact and Human Health: A Research Agenda
Hit paper breakdown →
2017851
2
Living in cities, naturally
Hit paper breakdown →
2016295
3 2012270
4 1997248
5
Children and Nature: Psychological, Sociocultural and Evolutionary Investigations
2002234
6 2003224
7
Value Sensitive Design: Theory and Methods
2002215
8 2003200
9 1999193
10 2009186
11 2007168
12 2006151
13 2009130
14 2008126
15 2006124
16 2021122
17 2008122
18 2012116
19 2008110
20 1995100

About Peter H. Kahn

Peter H. Kahn is a scholar working on Social Psychology, Health, Toxicology and Mutagenesis, Sociology and Political Science, Management, Monitoring, Policy and Law and Cognitive Neuroscience, having authored 118 papers that have together received 6.3k indexed citations. Recurring topics across this work include Social Robot Interaction and HRI (29 papers), Urban Green Space and Health (25 papers), Environmental Education and Sustainability (22 papers), Animal and Plant Science Education (13 papers), Child and Animal Learning Development (13 papers), Psychology of Moral and Emotional Judgment (10 papers), AI in Service Interactions (9 papers) and Human-Animal Interaction Studies (8 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (2.0k citations), Social Psychology (2.7k citations), Human-Computer Interaction (566 citations), Management, Monitoring, Policy and Law (965 citations) and Safety Research (475 citations). Peter H. Kahn has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Batya Friedman, Rachel L. Severson, Stephen R. Kellert, Jolina H. Ruckert, Nathan G. Freier, Hiroshi Ishiguro, Takayuki Kanda, Brian T. Gill, Terry Hartig and Jennifer Hagman. Their work appears in journals such as Human Development, Child Development, Interaction Studies Social Behaviour and Communication in Biological and Artificial Systems, Developmental Psychology and Journal of Applied Developmental Psychology.

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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