Frank Havemann

23 papers receiving 262 citations

Peers

Frank Havemann
Comparison fields: 5 of 72
  • Statistics, Probability and Uncertainty 84
  • Statistical and Nonlinear Physics 98
  • Ecological Modeling 15
  • Information Systems 45
  • Information Systems and Management 11
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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 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201159
2 200635
3 201419
4 200415
5 201915
6 201715
7 202314
8 201714
9 202212
10 200112
11 199310
12 201210
13 200910
14 20069
15
A Methodological Study for Measuring the Diversity of Science
20069
16
Measuring Diversity of Research by Extracting Latent Themes from Bipartite Networks of Papers and References
20085
17 19965
18
Epistemic Diversity as Distribution of Paper Dissimilarities.
20154
19 20043
20
A Link-based Memetic Algorithm for Reconstructing Overlapping Topics from Networks of Papers and their Cited Sources.
20152

About Frank Havemann

Frank Havemann is a scholar working on Statistical and Nonlinear Physics, Statistics, Probability and Uncertainty, Information Systems, Political Science and International Relations and Sociology and Political Science, having authored 24 papers that have together received 281 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (8 papers), scientometrics and bibliometrics research (7 papers), Web visibility and informetrics (4 papers), Advanced Text Analysis Techniques (3 papers), International Relations and Foreign Policy (2 papers), Complex Systems and Time Series Analysis (2 papers), Isotope Analysis in Ecology (1 paper) and Russia and Soviet political economy (1 paper). The work is most often cited by research in Statistics, Probability and Uncertainty (84 citations), Statistical and Nonlinear Physics (98 citations), Ecological Modeling (15 citations), Information Systems (45 citations) and Information Systems and Management (11 citations). Frank Havemann has collaborated with scholars based in Germany, Netherlands and Belgium. Frequent co-authors include Michael G. Heinz, Jochen Gläser, Hildrun Kretschmer, Birger Larsen, Jonathan M. Jeschke, Martin Enders, H. -J. Czerwon, Thomas Risse, Marion Schmidt and Wolfgang Glänzel. Their work appears in journals such as Scientometrics, PLoS ONE, NeoBiota, Information Processing & Management 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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