Chris Berg

100 papers receiving 788 citations

Peers

Chris Berg
Comparison fields: 5 of 88
  • Management Information Systems 232
  • Information Systems 504
  • Strategy and Management 181
  • Discrete Mathematics and Combinatorics 34
  • Management Science and Operations Research 84
Replace Deeksha Singh with:
Deeksha Singh United States
Alessio Faccia United Kingdom
Carol Hsu China
Julia Kokina United States
Marc Eulerich Germany
Kevin Moffitt United States
Darcy W E Allen Australia
Otto Koppius Netherlands
Narcisa Roxana Moşteanu Malta
Chris Berg relative to Deeksha Singh United States Deeksha Singh's profile →
Citations per field
00.5×6.7×
Deeksha Singh · 1×
Citations per year

Countries citing papers authored by Chris Berg

Since Specialization
Citations

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

Fields of papers citing papers by Chris Berg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Chris Berg, 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 Chris Berg Line = papers co-authored together Chris Berg links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 106 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019114
2 201957
3 201945
4 201943
5
Understanding the Blockchain Economy: An Introduction to Institutional Cryptoeconomics
201934
6 201826
7 202324
8 202022
9 201722
10 201821
11 202019
12 202319
13 201717
14 201717
15 201814
16 201714
17 201714
18 200913
19 201912
20 202011

About Chris Berg

Chris Berg is a scholar working on Information Systems, Economics and Econometrics, Management Information Systems, Sociology and Political Science and Strategy and Management, having authored 106 papers that have together received 825 indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (39 papers), FinTech, Crowdfunding, Digital Finance (15 papers), Digital Platforms and Economics (11 papers), Advanced Combinatorial Mathematics (10 papers), Auction Theory and Applications (8 papers), Banking stability, regulation, efficiency (8 papers), Taxation and Compliance Studies (7 papers) and Algebraic structures and combinatorial models (6 papers). The work is most often cited by research in Management Information Systems (232 citations), Information Systems (504 citations), Strategy and Management (181 citations), Discrete Mathematics and Combinatorics (34 citations) and Management Science and Operations Research (84 citations). Chris Berg has collaborated with scholars based in Australia, United States and Canada. Frequent co-authors include Jason Potts, Sinclair Davidson, Darcy W E Allen, Mikayla Novak, Brendan Markey‐Towler, Monica Vazirani, Nantel Bergeron, Mike Zabrocki, Franco Saliola and Hugh Thomas. Their work appears in journals such as The Electronic Journal of Combinatorics, Discrete Mathematics & Theoretical Computer Science, Journal of Combinatorial Theory Series A, The Review of Austrian Economics and Journal of Business Research.

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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