Keijo Ruohonen
- Computational Theory and Mathematics top 5%
- Artificial Intelligence top 10%
- Molecular Biology
- Public Health, Environmental and Occupational Health
- Ophthalmology top 10%
- Co-authors
- Heikki LamminenMarja‐Leena LinneHannu UusitaloTiina ManninenMatti YlikoskiTuomo Mäki‐MarttunenKaj TallrothGrzegorz Rozenberg
- Topics
- semigroups and automata theory (11 papers)Cellular Automata and Applications (8 papers)DNA and Biological Computing (7 papers)
- Partner nations
- FinlandQatarUnited States
In The Last Decade
Keijo Ruohonen
45 papers receiving 292 citations
Peers
Comparison fields: 5 of 83
- Computational Theory and Mathematics 112
- Artificial Intelligence 92
- Molecular Biology 86
- Public Health, Environmental and Occupational Health 39
- Ophthalmology 37
Countries citing papers authored by Keijo Ruohonen
This map shows the geographic impact of Keijo Ruohonen'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 Keijo Ruohonen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keijo Ruohonen more than expected).
Fields of papers citing papers by Keijo Ruohonen
This network shows the impact of papers produced by Keijo Ruohonen. 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 Keijo Ruohonen. The network helps show where Keijo Ruohonen may publish in the future.
Co-authorship network of co-authors of Keijo Ruohonen
This figure shows the co-authorship network connecting the top 25 collaborators of Keijo Ruohonen. A scholar is included among the top collaborators of Keijo Ruohonen 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 Keijo Ruohonen. Keijo Ruohonen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 8 | |
| 3 | 10 | |
| 4 | 39 | |
| 5 | 19 | |
| 6 | 3 | |
| 7 | 21 | |
| 8 | 4 | |
| 9 | 14 | |
| 10 | Undecidability of Event Detection for ODEs. | 3 |
| 11 | Reversible Machines and Post's Correspondence Problem for Biprefix Morphisms. | 22 |
| 12 | 5 | |
| 13 | 3 | |
| 14 | 1 | |
| 15 | 9 | |
| 16 | 6 | |
| 17 | The Inclusion Problem for DOI Languages. | 1 |
| 18 | 2 | |
| 19 | Remarks on Locally Catenative Developmental Sequences. | 2 |
| 20 | 3 |
About Keijo Ruohonen
Keijo Ruohonen is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Ophthalmology, having authored 48 papers that have together received 331 indexed citations. Recurring topics across this work include semigroups and automata theory (11 papers), Cellular Automata and Applications (8 papers) and DNA and Biological Computing (7 papers). The work is most often cited by research in Computational Theory and Mathematics (112 citations), Ophthalmology (37 citations) and Artificial Intelligence (92 citations). Keijo Ruohonen has collaborated with scholars based in Finland, Qatar and United States. Frequent co-authors include Heikki Lamminen, Marja‐Leena Linne, Hannu Uusitalo, Tiina Manninen, Matti Ylikoski, Tuomo Mäki‐Marttunen, Kaj Tallroth, Grzegorz Rozenberg, A. Salomaa and Risto P. Roine. Their work appears in journals such as PLoS ONE, BMC Bioinformatics and Journal of the ACM.
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.