Daniel Pargman

1.6k citations
81 papers · 1.2k · h-index 19

Impact in

Papers in

Daniel Pargman

77 papers receiving 1.1k citations

Peers

Daniel Pargman
Comparison fields: 5 of 112
  • Human-Computer Interaction 458
  • Management of Technology and Innovation 205
  • Marketing 125
  • Computer Science Applications 74
  • Sociology and Political Science 389
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Bran Knowles United Kingdom
Dhaval Vyas Australia
Lisa P. Nathan Canada
Marc Steen Netherlands
Jaz Hee-jeong Choi Australia
Hrönn Brynjarsdóttir United States
Valentina Nisi Portugal
Tim Brown United States
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Pargman

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Pargman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021116
2 201986
3 201882
4 200868
5 201460
6 201758
7 200753
8 201742
9 201740
10
Code Begets Community: On Social and Technical Aspects of Managing a Virtual Community
200035
11 201731
12 202030
13 201628
14 201728
15 201927
16 201923
17
Hacking sustainability Broadening participation through Green Hackathons
201322
18 201521
19 202018
20 201718

About Daniel Pargman

Daniel Pargman is a scholar working on Human-Computer Interaction, Sociology and Political Science, Electrical and Electronic Engineering, Management of Technology and Innovation and Management, Monitoring, Policy and Law, having authored 81 papers that have together received 1.2k indexed citations. Recurring topics across this work include Innovative Human-Technology Interaction (30 papers), Green IT and Sustainability (15 papers), Innovative Approaches in Technology and Social Development (11 papers), Environmental Education and Sustainability (9 papers), Digital Games and Media (8 papers), Impact of Technology on Adolescents (7 papers), Personal Information Management and User Behavior (5 papers) and Climate Change Communication and Perception (5 papers). The work is most often cited by research in Human-Computer Interaction (458 citations), Management of Technology and Innovation (205 citations), Marketing (125 citations), Computer Science Applications (74 citations) and Sociology and Political Science (389 citations). Daniel Pargman has collaborated with scholars based in Sweden, United Kingdom and United States. Frequent co-authors include Elina Eriksson, Barath Raghavan, Peter Jakobsson, Teresa Cerratto Pargman, Karin Bradley, Björn Hedin, Cecilia Katzeff, Kelly Widdicks, Bonnie Nardi and Bill Tomlinson. Their work appears in journals such as First Monday, Futures, interactions, Sustainability and Energy Research & Social Science.

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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