Andrej Dobnikar
- Molecular Biology
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Computational Theory and Mathematics
- Electrical and Electronic Engineering
- Co-authors
- Tina LebarRoman JeralaMojca BenčinaRok GaberAndreja MajerleDamjan ZazulaD.W. PearsonN. C. Steele
- Topics
- Neural Networks and Applications (11 papers)Cellular Automata and Applications (4 papers)Fuzzy Logic and Control Systems (3 papers)
- Partner nations
- SloveniaUnited KingdomAustria
In The Last Decade
Andrej Dobnikar
24 papers receiving 256 citations
Peers
Comparison fields: 5 of 85
- Molecular Biology 96
- Artificial Intelligence 87
- Computer Vision and Pattern Recognition 36
- Computational Theory and Mathematics 35
- Electrical and Electronic Engineering 21
Countries citing papers authored by Andrej Dobnikar
This map shows the geographic impact of Andrej Dobnikar'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 Andrej Dobnikar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrej Dobnikar more than expected).
Fields of papers citing papers by Andrej Dobnikar
This network shows the impact of papers produced by Andrej Dobnikar. 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 Andrej Dobnikar. The network helps show where Andrej Dobnikar may publish in the future.
Co-authorship network of co-authors of Andrej Dobnikar
This figure shows the co-authorship network connecting the top 25 collaborators of Andrej Dobnikar. A scholar is included among the top collaborators of Andrej Dobnikar 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 Andrej Dobnikar. Andrej Dobnikar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 83 | |
| 2 | Design of information processing in cells using artificial gene repressors | 0 |
| 3 | 10 | |
| 4 | 9 | |
| 5 | 16 | |
| 6 | 24 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 3 | |
| 10 | 19 | |
| 11 | 23 | |
| 12 | Matrix Formulation of the Multilayered Perceptron with a Denoising Unit | 1 |
| 13 | 1 | |
| 14 | Artificial neural nets and genetic algorithms : proceedings of the International Conference in Portoroz, Slovenia, 1999 | 1 |
| 15 | 28 | |
| 16 | 27 | |
| 17 | Genetic Synthesis of Task-Oriented Neural Networks. | 2 |
| 18 | 1 | |
| 19 | 1 | |
| 20 | Optimal visual tracking with artificial neural network | 2 |
About Andrej Dobnikar
Andrej Dobnikar is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition, having authored 29 papers that have together received 267 indexed citations. Recurring topics across this work include Neural Networks and Applications (11 papers), Cellular Automata and Applications (4 papers) and Fuzzy Logic and Control Systems (3 papers). The work is most often cited by research in Artificial Intelligence (87 citations), Computational Theory and Mathematics (35 citations) and Biophysics (12 citations). Andrej Dobnikar has collaborated with scholars based in Slovenia, United Kingdom and Austria. Frequent co-authors include Tina Lebar, Roman Jerala, Mojca Benčina, Rok Gaber, Andreja Majerle, Damjan Zazula, D.W. Pearson, N. C. Steele, R. Albrecht and Catarina Silva. Their work appears in journals such as Automatica, Nature Chemical Biology and Neurocomputing.
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.