Jan Hannemann
- Plant Science top 2%
- Molecular Biology top 10%
- Artificial Intelligence top 2%
- Information Systems top 1%
- Genetics
- Co-authors
- Gregor KiczalesMark StittJoachim SelbigYves GibonNatalia Palacios‐RojasPetronia CarilloJanneke HendriksMelanie Höhne
- Topics
- Advanced Software Engineering Methodologies (6 papers)Genetic and phenotypic traits in livestock (3 papers)Software Engineering Research (3 papers)
In The Last Decade
Jan Hannemann
17 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Plant Science 966
- Molecular Biology 694
- Artificial Intelligence 569
- Information Systems 566
- Genetics 172
Countries citing papers authored by Jan Hannemann
This map shows the geographic impact of Jan Hannemann'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 Jan Hannemann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Hannemann more than expected).
Fields of papers citing papers by Jan Hannemann
This network shows the impact of papers produced by Jan Hannemann. 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 Jan Hannemann. The network helps show where Jan Hannemann may publish in the future.
Co-authorship network of co-authors of Jan Hannemann
This figure shows the co-authorship network connecting the top 25 collaborators of Jan Hannemann. A scholar is included among the top collaborators of Jan Hannemann based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jan Hannemann. Jan Hannemann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | Genome-wide association implicates numerous genes and pleiotropy underlying ecological trait variation in natural populations of Populus trichocarpa | 1 |
| 3 | 137 | |
| 4 | 24 | |
| 5 | 106 | |
| 6 | 100 | |
| 7 | CONTENTUS - Towards Semantic Multimedia Libraries | 3 |
| 8 | 36 | |
| 9 | 26 | |
| 10 | Extension of the Visualization Tool MapMan to Allow Statistical Analysis of Arrays, Display of Coresponding Genes, and Comparison with Known Responsesbreakdown → | 529 |
| 11 | 57 | |
| 12 | 451 | |
| 13 | 16 | |
| 14 | Design pattern implementation in Java and aspectJbreakdown → | 366 |
| 15 | 53 | |
| 16 | 54 | |
| 17 | Overcoming the Prevalent Decomposition of Legacy Code | 57 |
About Jan Hannemann
Jan Hannemann is a scholar working on Development, Software and Artificial Intelligence, having authored 17 papers that have together received 2.0k indexed citations. Recurring topics across this work include Advanced Software Engineering Methodologies (6 papers), Genetic and phenotypic traits in livestock (3 papers) and Software Engineering Research (3 papers). The work is most often cited by research in Software (153 citations), Plant Science (966 citations) and Information Systems (566 citations). Jan Hannemann has collaborated with scholars based in Canada, Germany and Czechia. Frequent co-authors include Gregor Kiczales, Mark Stitt, Joachim Selbig, Yves Gibon, Natalia Palacios‐Rojas, Petronia Carillo, Janneke Hendriks, Melanie Höhne, Joanna Cross and Björn Usadel. Their work appears in journals such as The Plant Cell, PLANT PHYSIOLOGY and New Phytologist.
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.