Jo Havemann
Impact in
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- scientometrics and bibliometrics research
- Insect Science top 10%
- Insect symbiosis and bacterial influences
Papers in
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- Academic Publishing and Open Access 4
- Scientific Computing and Data Management 2
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- Research Data Management Practices 4
- Co-authors
- Matthias Gerberding (2 shared papers)Günes Özhan (1 shared paper)Akira Gotō (1 shared paper)Christine Karlsson (1 shared paper)Christoph Scherfer (1 shared paper)Olga Loseva (1 shared paper)Mitchell S. Dushay (1 shared paper)Ulrich Theopold (1 shared paper)
- Journals
- Developmental Biology (1 paper)Current Biology (1 paper)eLife (1 paper)Publications (1 paper)Cell and Tissue Research (1 paper)
- Partner nations
- United KingdomUnited StatesBelgium
In The Last Decade
Jo Havemann
13 papers receiving 307 citations
Peers
Comparison fields: 5 of 86
- Statistics, Probability and Uncertainty 53
- Insect Science 87
- Information Systems and Management 42
- Immunology 107
- Cellular and Molecular Neuroscience 56
Countries citing papers authored by Jo Havemann
This map shows the geographic impact of Jo 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 Jo Havemann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jo Havemann more than expected).
Fields of papers citing papers by Jo Havemann
This network shows the impact of papers produced by Jo 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 Jo Havemann. The network helps show where Jo Havemann may publish in the future.
Co-authors
The 25 scholars most cited alongside Jo Havemann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 132 | |
| 2 | 2019 | 82 | |
| 3 | 2008 | 57 | |
| 4 | 2008 | 22 | |
| 5 | 2023 | 12 | |
| 6 | 2019 | 5 | |
| 7 | 2020 | 5 | |
| 8 | 2018 | 3 | |
| 9 | What Collaboration Means to Us: We are more powerful when we work together as a community to solve problems | 2019 | 2 |
| 10 | 2023 | 1 | |
| 11 | 2020 | 1 | |
| 12 | 2020 | 1 | |
| 13 | 2022 | 1 | |
| 14 | 2023 | 0 | |
| 15 | Centre pour la Science Ouverte NSF 21-511 AccelNet-Implementation : Résumé du projet Communauté des Réseaux de Science Ouverte Grassroots (COSGN) | 2025 | 0 |
| 16 | 2022 | 0 | |
| 17 | 2019 | 0 |
About Jo Havemann
Jo Havemann is a scholar working on Information Systems and Management, Information Systems, Cellular and Molecular Neuroscience, Statistics, Probability and Uncertainty and Molecular Biology, having authored 17 papers that have together received 324 indexed citations. Recurring topics across this work include Academic Publishing and Open Access (4 papers), Research Data Management Practices (4 papers), Neurobiology and Insect Physiology Research (3 papers), scientometrics and bibliometrics research (3 papers), Scientific Computing and Data Management (2 papers), Insect and Arachnid Ecology and Behavior (2 papers), Genetics, Bioinformatics, and Biomedical Research (2 papers) and Invertebrate Immune Response Mechanisms (1 paper). The work is most often cited by research in Statistics, Probability and Uncertainty (53 citations), Insect Science (87 citations), Information Systems and Management (42 citations), Immunology (107 citations) and Cellular and Molecular Neuroscience (56 citations). Jo Havemann has collaborated with scholars based in United Kingdom, United States and Belgium. Frequent co-authors include Matthias Gerberding, Günes Özhan, Akira Gotō, Christine Karlsson, Christoph Scherfer, Olga Loseva, Mitchell S. Dushay, Ulrich Theopold, Gawa Bidla and Paola Masuzzo. Their work appears in journals such as Developmental Biology, Current Biology, eLife, Publications and Cell and Tissue 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.