Juris Vīksna
- Molecular Biology
- Information Systems and Management
- Materials Chemistry
- Genetics
- Information Systems
- Co-authors
- David GilbertAlvis BrāzmaJanet M. ThorntonDavid R. WestheadDace RuklisaEdgars CelmsMark I. McCarthyUğis Sarkans
- Topics
- Bioinformatics and Genomic Networks (8 papers)Gene Regulatory Network Analysis (7 papers)Protein Structure and Dynamics (5 papers)
- Journals
- BioinformaticsGeneBMC Bioinformatics
- Partner nations
- LatviaUnited KingdomSwitzerland
In The Last Decade
Juris Vīksna
16 papers receiving 103 citations
Peers
Comparison fields: 5 of 31
- Molecular Biology 92
- Information Systems and Management 15
- Materials Chemistry 15
- Genetics 12
- Information Systems 6
Countries citing papers authored by Juris Vīksna
This map shows the geographic impact of Juris Vīksna'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 Juris Vīksna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juris Vīksna more than expected).
Fields of papers citing papers by Juris Vīksna
This network shows the impact of papers produced by Juris Vīksna. 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 Juris Vīksna. The network helps show where Juris Vīksna may publish in the future.
Co-authorship network of co-authors of Juris Vīksna
This figure shows the co-authorship network connecting the top 25 collaborators of Juris Vīksna. A scholar is included among the top collaborators of Juris Vīksna 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 Juris Vīksna. Juris Vīksna is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 7 | |
| 5 | 3 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 2 | |
| 11 | 14 | |
| 12 | 22 | |
| 13 | 8 | |
| 14 | Reconstruction of gene regulatory networks under the finite state linear model. | 11 |
| 15 | Protein structure comparison based o n profiles of topological motifs: a feasible way to deal with information from negative examples. | 2 |
| 16 | 25 | |
| 17 | Pattern discovery methods for protein topology diagrams. | 1 |
About Juris Vīksna
Juris Vīksna is a scholar working on Hardware and Architecture, Information Systems and Management and Molecular Biology, having authored 17 papers that have together received 107 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (8 papers), Gene Regulatory Network Analysis (7 papers) and Protein Structure and Dynamics (5 papers). The work is most often cited by research in Information Systems and Management (15 citations), Molecular Biology (92 citations) and Biotechnology (4 citations). Juris Vīksna has collaborated with scholars based in Latvia, United Kingdom and Switzerland. Frequent co-authors include David Gilbert, Alvis Brāzma, Janet M. Thornton, David R. Westhead, Dace Ruklisa, Edgars Celms, Mark I. McCarthy, Uğis Sarkans, Sudeshna Guha Neogi and Maria Krestyaninova. Their work appears in journals such as Bioinformatics, Gene and BMC 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.