Jörg Hakenberg
- Molecular Biology top 5%
- Artificial Intelligence top 2%
- Genetics top 10%
- Computational Theory and Mathematics top 5%
- Immunology
- Co-authors
- Ulf LeserConrad PlakeGraciela Gonzalez‐HernandezMichael SchroederRobert LeamanPhilippe ThomasDomonkos TikkLuis Tari
- Topics
- Biomedical Text Mining and Ontologies (29 papers)Semantic Web and Ontologies (16 papers)Bioinformatics and Genomic Networks (12 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Jörg Hakenberg
40 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 108
- Molecular Biology 1.4k
- Artificial Intelligence 709
- Genetics 288
- Computational Theory and Mathematics 128
- Immunology 61
Countries citing papers authored by Jörg Hakenberg
This map shows the geographic impact of Jörg Hakenberg'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 Jörg Hakenberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jörg Hakenberg more than expected).
Fields of papers citing papers by Jörg Hakenberg
This network shows the impact of papers produced by Jörg Hakenberg. 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 Jörg Hakenberg. The network helps show where Jörg Hakenberg may publish in the future.
Co-authorship network of co-authors of Jörg Hakenberg
This figure shows the co-authorship network connecting the top 25 collaborators of Jörg Hakenberg. A scholar is included among the top collaborators of Jörg Hakenberg 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 Jörg Hakenberg. Jörg Hakenberg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 263 | |
| 2 | 7 | |
| 3 | 27 | |
| 4 | 126 | |
| 5 | 40 | |
| 6 | 5 | |
| 7 | 35 | |
| 8 | 54 | |
| 9 | 30 | |
| 10 | 133 | |
| 11 | 27 | |
| 12 | 1 | |
| 13 | 28 | |
| 14 | 18 | |
| 15 | 28 | |
| 16 | 241 | |
| 17 | 33 | |
| 18 | 100 | |
| 19 | A Support Vector Machine classifier for gene name recognition | 1 |
| 20 | 26 |
About Jörg Hakenberg
Jörg Hakenberg is a scholar working on Artificial Intelligence, Molecular Biology and Genetics, having authored 40 papers that have together received 1.7k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (29 papers), Semantic Web and Ontologies (16 papers) and Bioinformatics and Genomic Networks (12 papers). The work is most often cited by research in Artificial Intelligence (709 citations), Molecular Biology (1.4k citations) and Health Informatics (19 citations). Jörg Hakenberg has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Ulf Leser, Conrad Plake, Graciela Gonzalez‐Hernandez, Michael Schroeder, Robert Leaman, Philippe Thomas, Domonkos Tikk, Luis Tari, Chitta Baral and Rong Chen. Their work appears in journals such as Nucleic Acids Research, Nature Genetics and Bioinformatics.
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.