Johan Söderberg

99 papers receiving 1.4k citations

Peers

Johan Söderberg
Comparison fields: 5 of 160
  • Computer Science Applications 104
  • Statistics, Probability and Uncertainty 111
  • Economics and Econometrics 343
  • Communication 86
  • Human-Computer Interaction 68
Replace Paul K. Hoch with:
Paul K. Hoch United Kingdom
David Pontille France
Danny Meadows-Klue United States
Sarah de Rijcke Netherlands
Peter Scott United Kingdom
Éric Archambault Canada
Daniel C. Humphrey United States
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Citations per year

Countries citing papers authored by Johan Söderberg

Since Specialization
Citations

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

Fields of papers citing papers by Johan Söderberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 105 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014256
2 200983
3
Kontinuitetens dynamik : agrar ekonomi i 1500-talets Sverige
199166
4 200861
5 201361
6 200955
7 200848
8 199247
9 200345
10 200943
11 201042
12 201539
13 200238
14 201237
15 201033
16
The agrarian economy of sixteenth-century Sweden
200232
17 201032
18
The evolution of Swedish consumer prices 1290-2008
201030
19 200928
20 201027

About Johan Söderberg

Johan Söderberg is a scholar working on Sociology and Political Science, Economics and Econometrics, Physiology, History and Computer Science Applications, having authored 105 papers that have together received 1.6k indexed citations. Recurring topics across this work include Historical Economic and Social Studies (13 papers), Clinical Laboratory Practices and Quality Control (11 papers), Open Source Software Innovations (7 papers), Ethics and Social Impacts of AI (6 papers), Digital Games and Media (6 papers), Historical and Archaeological Studies (5 papers), Tree-ring climate responses (4 papers) and Digital Economy and Work Transformation (4 papers). The work is most often cited by research in Computer Science Applications (104 citations), Statistics, Probability and Uncertainty (111 citations), Economics and Econometrics (343 citations), Communication (86 citations) and Human-Computer Interaction (68 citations). Johan Söderberg has collaborated with scholars based in Sweden, France and United Kingdom. Frequent co-authors include Kjell Grankvist, Olof Wallin, Christine Brulin, Janken Myrdal, Rodney Edvinsson, Lars G. Sandberg, Johan Hultdin, Bo Göransson, P. Andreas Jonsson and Bethany Van Guelpen. Their work appears in journals such as Scandinavian Economic History Review, Clinical Chemistry and Laboratory Medicine (CCLM), Science Technology & Human Values, tripleC Communication Capitalism & Critique Open Access Journal for a Global Sustainable Information Society and Scandinavian Journal of Clinical and Laboratory Investigation.

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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