Sándor Szénási
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Mechanical Engineering
- Aerospace Engineering
- Safety, Risk, Reliability and Quality top 10%
- Co-authors
- Zoltán VámossyImre FeldeMiklós KozlovszkyLászló NádaiGábor LégrádiJohn von NeumannZ. FriedIstván Z. Kovács
- Topics
- Heat Transfer and Optimization (10 papers)Medical Image Segmentation Techniques (10 papers)Traffic Prediction and Management Techniques (9 papers)
- Cited by
- Computer Vision and Pattern RecognitionSafety, Risk, Reliability and QualityComputational Mathematics
- Journals
- Expert Systems with ApplicationsIEEE AccessComputer Methods in Applied Mechanics and Engineering
- Partner nations
- HungarySlovakiaUnited States
In The Last Decade
Sándor Szénási
76 papers receiving 391 citations
Peers
Comparison fields: 5 of 98
- Computer Vision and Pattern Recognition 145
- Artificial Intelligence 94
- Mechanical Engineering 50
- Aerospace Engineering 42
- Safety, Risk, Reliability and Quality 34
Countries citing papers authored by Sándor Szénási
This map shows the geographic impact of Sándor Szénási'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 Sándor Szénási with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sándor Szénási more than expected).
Fields of papers citing papers by Sándor Szénási
This network shows the impact of papers produced by Sándor Szénási. 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 Sándor Szénási. The network helps show where Sándor Szénási may publish in the future.
Co-authorship network of co-authors of Sándor Szénási
This figure shows the co-authorship network connecting the top 25 collaborators of Sándor Szénási. A scholar is included among the top collaborators of Sándor Szénási 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 Sándor Szénási. Sándor Szénási is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 0 | |
| 12 | 1 | |
| 13 | 2 | |
| 14 | 0 | |
| 15 | 7 | |
| 16 | 4 | |
| 17 | 12 | |
| 18 | 10 | |
| 19 | 20 | |
| 20 | 14 |
About Sándor Szénási
Sándor Szénási is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Software, having authored 95 papers that have together received 411 indexed citations. Recurring topics across this work include Heat Transfer and Optimization (10 papers), Medical Image Segmentation Techniques (10 papers) and Traffic Prediction and Management Techniques (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (145 citations), Safety, Risk, Reliability and Quality (34 citations) and Computational Mathematics (2 citations). Sándor Szénási has collaborated with scholars based in Hungary, Slovakia and United States. Frequent co-authors include Zoltán Vámossy, Imre Felde, Miklós Kozlovszky, László Nádai, Gábor Légrádi, John von Neumann, Z. Fried, István Z. Kovács, Gábor Valcz and Zoltán Tóth. Their work appears in journals such as Expert Systems with Applications, IEEE Access and Computer Methods in Applied Mechanics and Engineering.
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.