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
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- Neurobiology and Insect Physiology Research 3
- Co-authors
- Matthias Gerberding (2 shared papers)Günes Özhan (1 shared paper)Akira Gotō (1 shared paper)Mitchell S. Dushay (1 shared paper)Olga Loseva (1 shared paper)Christine Karlsson (1 shared paper)Gawa Bidla (1 shared paper)Ulrich Theopold (1 shared paper)
- Journals
- Current Biology (1 paper)Publications (1 paper)Cell and Tissue Research (1 paper)eLife (1 paper)Developmental Biology (1 paper)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Jo Havemann
10 papers receiving 280 citations
Peers
Comparison fields: 5 of 87
- Statistics, Probability and Uncertainty 50
- Insect Science 84
- Information Systems and Management 37
- Immunology 106
- Cellular and Molecular Neuroscience 53
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 | 125 | |
| 2 | 2019 | 73 | |
| 3 | 2008 | 54 | |
| 4 | 2008 | 17 | |
| 5 | 2023 | 11 | |
| 6 | 2019 | 5 | |
| 7 | 2020 | 5 | |
| 8 | What Collaboration Means to Us: We are more powerful when we work together as a community to solve problems | 2019 | 2 |
| 9 | 2023 | 1 | |
| 10 | 2022 | 1 | |
| 11 | 2023 | 0 | |
| 12 | 2020 | 0 | |
| 13 | 2019 | 0 |
About Jo Havemann
Jo Havemann is a scholar working on Information Systems and Management, Cellular and Molecular Neuroscience, Information Systems, Statistics, Probability and Uncertainty and Genetics, having authored 13 papers that have together received 294 indexed citations. Recurring topics across this work include Academic Publishing and Open Access (4 papers), scientometrics and bibliometrics research (3 papers), Research Data Management Practices (3 papers), Neurobiology and Insect Physiology Research (3 papers), Insect and Arachnid Ecology and Behavior (2 papers), Invertebrate Immune Response Mechanisms (1 paper), Innovative Human-Technology Interaction (1 paper) and Climate Change Communication and Perception (1 paper). The work is most often cited by research in Statistics, Probability and Uncertainty (50 citations), Insect Science (84 citations), Information Systems and Management (37 citations), Immunology (106 citations) and Cellular and Molecular Neuroscience (53 citations). Jo Havemann has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Matthias Gerberding, Günes Özhan, Akira Gotō, Mitchell S. Dushay, Olga Loseva, Christine Karlsson, Gawa Bidla, Ulrich Theopold, Christoph Scherfer and Tom Crick. Their work appears in journals such as Current Biology, Publications, Cell and Tissue Research, eLife and Developmental Biology.
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.