Frank Havemann

695 citations
28 papers · 317 · h-index 12

Impact in

Papers in

Frank Havemann

26 papers receiving 292 citations

Peers

Frank Havemann
Comparison fields: 5 of 76
  • Statistics, Probability and Uncertainty 88
  • Statistical and Nonlinear Physics 112
  • Ecological Modeling 16
  • Information Systems 48
  • Information Systems and Management 12
Replace Ketan K. Mane with:
Ketan K. Mane United States
Angela Zoss United States
Manuel Sebastian Mariani Switzerland
Yoshiko Okubo France
Leonardo Costa Ribeiro Brazil
Mônica G. Campiteli Brazil
Jacob G. Foster United States
Betsy Van der Veer Martens United States
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Citations per field
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Citations per year

Countries citing papers authored by Frank Havemann

Since Specialization
Citations

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

Fields of papers citing papers by Frank Havemann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201165
2 200636
3 201420
4 201718
5 202316
6 201916
7 200415
8 201714
9 202213
10 200113
11 200912
12 201211
13 199310
14
A Methodological Study for Measuring the Diversity of Science
200610
15 20069
16 20108
17
Measuring Diversity of Research by Extracting Latent Themes from Bipartite Networks of Papers and References
20085
18 20185
19 19965
20
Epistemic Diversity as Distribution of Paper Dissimilarities.
20154

About Frank Havemann

Frank Havemann is a scholar working on Statistical and Nonlinear Physics, Statistics, Probability and Uncertainty, Information Systems, Sociology and Political Science and Artificial Intelligence, having authored 28 papers that have together received 317 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (10 papers), scientometrics and bibliometrics research (10 papers), Web visibility and informetrics (6 papers), Advanced Text Analysis Techniques (3 papers), International Relations and Foreign Policy (2 papers), Libraries and Information Services (2 papers), Opinion Dynamics and Social Influence (2 papers) and Complex Systems and Time Series Analysis (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (88 citations), Statistical and Nonlinear Physics (112 citations), Ecological Modeling (16 citations), Information Systems (48 citations) and Information Systems and Management (12 citations). Frank Havemann has collaborated with scholars based in Germany, Belgium and Netherlands. Frequent co-authors include Michael G. Heinz, Jochen Gläser, Hildrun Kretschmer, Birger Larsen, Jonathan M. Jeschke, Andrea Scharnhorst, H. -J. Czerwon, Martin Enders, Thomas Risse and Marion Schmidt. Their work appears in journals such as Scientometrics, Biological reviews/Biological reviews of the Cambridge Philosophical Society, NeoBiota, PLoS ONE and International Studies Review.

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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