Jens Stoye
- Molecular Biology top 2%
- Artificial Intelligence top 2%
- Genetics top 5%
- Plant Science top 5%
- Ecology top 5%
- Co-authors
- Alexander GoesmannFolker MeyerDorothea EversDan GusfieldPeter HusemannWolfgang GerlachLutz KrauseAlfred Pühler
- Topics
- Genomics and Phylogenetic Studies (81 papers)Algorithms and Data Compression (45 papers)Genome Rearrangement Algorithms (35 papers)
- Journals
- Nucleic Acids ResearchSHILAP Revista de lepidopterologíaBlood
- Partner nations
- GermanyUnited StatesCanada
In The Last Decade
Jens Stoye
126 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 139
- Molecular Biology 2.6k
- Artificial Intelligence 671
- Genetics 668
- Plant Science 601
- Ecology 524
Countries citing papers authored by Jens Stoye
This map shows the geographic impact of Jens Stoye'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 Jens Stoye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jens Stoye more than expected).
Fields of papers citing papers by Jens Stoye
This network shows the impact of papers produced by Jens Stoye. 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 Jens Stoye. The network helps show where Jens Stoye may publish in the future.
Co-authorship network of co-authors of Jens Stoye
This figure shows the co-authorship network connecting the top 25 collaborators of Jens Stoye. A scholar is included among the top collaborators of Jens Stoye 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 Jens Stoye. Jens Stoye is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 6 | |
| 3 | 6 | |
| 4 | 14 | |
| 5 | 6 | |
| 6 | 0 | |
| 7 | 4 | |
| 8 | 8 | |
| 9 | 7 | |
| 10 | 20 | |
| 11 | 29 | |
| 12 | 2 | |
| 13 | 19 | |
| 14 | Evaluation of the Jumping Alignment Algorithm with Artificial and Biological Data | 0 |
| 15 | Index Structures for Large Sequence Data: Suffix Trees and Affix Trees | 0 |
| 16 | Sequence Database Search Using Jumping Alignments. | 3 |
| 17 | Combining Divide-and-Conquer, the A * -Algorithm, and Successive Realignment Approaches to Speed Multiple Sequence Alignment. | 4 |
| 18 | Simple and flexible detection of contiguous repeats using a suffix tree | 1 |
| 19 | 16 | |
| 20 | 1 |
About Jens Stoye
Jens Stoye is a scholar working on Genetics, Molecular Biology and Artificial Intelligence, having authored 134 papers that have together received 3.5k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (81 papers), Algorithms and Data Compression (45 papers) and Genome Rearrangement Algorithms (35 papers). The work is most often cited by research in Molecular Biology (2.6k citations), Genetics (668 citations) and Artificial Intelligence (671 citations). Jens Stoye has collaborated with scholars based in Germany, United States and Canada. Frequent co-authors include Alexander Goesmann, Folker Meyer, Dorothea Evers, Dan Gusfield, Peter Husemann, Wolfgang Gerlach, Lutz Krause, Alfred Pühler, Dag Harmsen and Naryttza N. Diaz. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Blood.
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.