Johan Bollen

13.7k citations
86 papers · 7.8k · 3 hit papers · h-index 30

Impact in

Papers in

Johan Bollen

81 papers receiving 7.1k citations

Johan Bollen's Hit Papers

Computational Fact Checking from Knowledge Networks 2015 · 275 citations
2750+7+14Years since publication10002.0k3.0k

Peers

Johan Bollen
Comparison fields: 5 of 186
  • Statistics, Probability and Uncertainty 1.0k
  • Statistical and Nonlinear Physics 1.6k
  • Management Science and Operations Research 1.4k
  • Communication 687
  • Finance 734
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Citations per field
00.5×7.6×
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Citations per year

Countries citing papers authored by Johan Bollen

Since Specialization
Citations

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

Fields of papers citing papers by Johan Bollen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Twitter mood predicts the stock market
Hit paper breakdown →
20113271
2
Co-authorship networks in the digital library research community
Hit paper breakdown →
2005589
3 2009418
4 2006305
5
Computational Fact Checking from Knowledge Networks
Hit paper breakdown →
2015275
6 2012217
7
The evolution of complexity
1999213
8 2013205
9 2011190
10 2020187
11 2011153
12 2005151
13 2009133
14 202189
15 202173
16 200769
17 201763
18 200752
19 201847
20
The World-Wide Web as a Super-Brain: from metaphor to model
199643

About Johan Bollen

Johan Bollen is a scholar working on Information Systems, Statistical and Nonlinear Physics, Sociology and Political Science, Artificial Intelligence and Communication, having authored 86 papers that have together received 7.8k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (21 papers), Opinion Dynamics and Social Influence (12 papers), scientometrics and bibliometrics research (11 papers), Misinformation and Its Impacts (9 papers), Web Data Mining and Analysis (8 papers), Semantic Web and Ontologies (7 papers), Social Media and Politics (7 papers) and Mental Health via Writing (7 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (1.0k citations), Statistical and Nonlinear Physics (1.6k citations), Management Science and Operations Research (1.4k citations), Communication (687 citations) and Finance (734 citations). Johan Bollen has collaborated with scholars based in United States, Netherlands and Belgium. Frequent co-authors include Huina Mao, Xiao‐Jun Zeng, Herbert Van de Sompel, Michael L. Nelson, Xiaoming Liu, Francis Heylighen, Aric Hagberg, Ryan Chute, Alberto Pepe and Xin Shuai. Their work appears in journals such as PLoS ONE, D-Lib Magazine, Journal of Informetrics, Scientometrics and Journal of Medical Internet 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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