John Prpić

650 citations
21 papers · 397 · h-index 8

Impact in

Papers in

John Prpić

20 papers receiving 370 citations

Peers

John Prpić
Comparison fields: 5 of 76
  • Computer Science Applications 241
  • Communication 122
  • Management Information Systems 58
  • Marketing 49
  • Business and International Management 6
Replace Maha Shaikh with:
Maha Shaikh United Kingdom
Rishab Aiyer Ghosh Netherlands
Andrés Guadamuz United Kingdom
Claude Guittard France
Sean Hansen United States
M. Lisa Yeo United States
Éric Schenk France
Arto Lanamäki Finland
Michael Huber Germany
Maureen Tanner South Africa
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Citations per field
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Citations per year

Countries citing papers authored by John Prpić

Since Specialization
Citations

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

Fields of papers citing papers by John Prpić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside John Prpić, 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 Prpić Line = papers co-authored together John Prpić links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014156
2 201597
3 201636
4 201533
5 201716
6 20169
7 20147
8 20177
9
Is the World Flat? : Unpacking the Geography of Crowd Capital
20147
10 20136
11 20163
12 20173
13 20173
14
Project Risk Management Incorporating Knight, Ellsberg & Kahneman
20152
15 20172
16 20172
17 20152
18 20172
19 20172
20 20172

About John Prpić

John Prpić is a scholar working on Computer Science Applications, Communication, Strategy and Management, Management Science and Operations Research and Political Science and International Relations, having authored 21 papers that have together received 397 indexed citations. Recurring topics across this work include Open Source Software Innovations (15 papers), Mobile Crowdsensing and Crowdsourcing (12 papers), Knowledge Management and Sharing (8 papers), Complex Network Analysis Techniques (3 papers), E-Government and Public Services (3 papers), Risk Management in Financial Firms (2 papers), Big Data and Business Intelligence (2 papers) and Auction Theory and Applications (2 papers). The work is most often cited by research in Computer Science Applications (241 citations), Communication (122 citations), Management Information Systems (58 citations), Marketing (49 citations) and Business and International Management (6 citations). John Prpić has collaborated with scholars based in Canada, Sweden and United States. Frequent co-authors include Araz Taeihagh, James Melton, Jan Kietzmann, Ian P. McCarthy, Terry Anderson, Matthew Wilson, Yannig Roth, Jeannette Paschen and Jean-François Lemoine. Their work appears in journals such as Business Horizons, Policy & Internet, First Monday, Journal of Wine Research and arXiv (Cornell University).

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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