Kristian Sabo
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Mechanical Engineering
- Statistics and Probability top 5%
- Co-authors
- Rudolf ScitovskiMarijana Zekić–SušacMirta BenšićDragan JukićFrancisco Martínez‐ÁlvarezGoran ŠimunovićAntun StoićK. P. Hadeler
- Topics
- Image and Object Detection Techniques (15 papers)Statistical and numerical algorithms (8 papers)Advanced Statistical Methods and Models (7 papers)
- Cited by
- Computer Vision and Pattern RecognitionStatistics and ProbabilityStatistics, Probability and Uncertainty
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsEnergy Conversion and Management
- Partner nations
- CroatiaBosnia and HerzegovinaGermany
In The Last Decade
Kristian Sabo
49 papers receiving 477 citations
Peers
Comparison fields: 5 of 96
- Computer Vision and Pattern Recognition 143
- Artificial Intelligence 116
- Electrical and Electronic Engineering 70
- Mechanical Engineering 62
- Statistics and Probability 53
Countries citing papers authored by Kristian Sabo
This map shows the geographic impact of Kristian Sabo'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 Kristian Sabo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kristian Sabo more than expected).
Fields of papers citing papers by Kristian Sabo
This network shows the impact of papers produced by Kristian Sabo. 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 Kristian Sabo. The network helps show where Kristian Sabo may publish in the future.
Co-authorship network of co-authors of Kristian Sabo
This figure shows the co-authorship network connecting the top 25 collaborators of Kristian Sabo. A scholar is included among the top collaborators of Kristian Sabo 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 Kristian Sabo. Kristian Sabo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 32 | |
| 5 | 0 | |
| 6 | 40 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | ACOUSTIC EMISSION AS TOOL WEAR MONITORING | 19 |
| 10 | 16 | |
| 11 | 4 | |
| 12 | A MATHEMATICAL MODEL FOR UNIFORM DISTRIBUTION OF VOTERS PER CONSTITUENCIES | 3 |
| 13 | Uniform distribution of the number of voters per constituency on the basis of a mathematical model | 3 |
| 14 | 10 | |
| 15 | Grupiranje podataka: klasteri | 1 |
| 16 | 6 | |
| 17 | 4 | |
| 18 | 16 | |
| 19 | 2 | |
| 20 | Optimal allocation of nodes for surface generating | 1 |
About Kristian Sabo
Kristian Sabo is a scholar working on Computer Vision and Pattern Recognition, Statistics and Probability and Applied Mathematics, having authored 52 papers that have together received 494 indexed citations. Recurring topics across this work include Image and Object Detection Techniques (15 papers), Statistical and numerical algorithms (8 papers) and Advanced Statistical Methods and Models (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (143 citations), Statistics and Probability (53 citations) and Statistics, Probability and Uncertainty (29 citations). Kristian Sabo has collaborated with scholars based in Croatia, Bosnia and Herzegovina and Germany. Frequent co-authors include Rudolf Scitovski, Marijana Zekić–Sušac, Mirta Benšić, Dragan Jukić, Francisco Martínez‐Álvarez, Goran Šimunović, Antun Stoić, K. P. Hadeler, Ratko Grbić and Gordana Kralik. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Energy Conversion and Management.
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.