Ladislav Peška
- Information Systems top 5%
- Computer Vision and Pattern Recognition top 10%
- Computational Theory and Mathematics top 5%
- Artificial Intelligence top 10%
- Molecular Biology
- Co-authors
- Krisztián BúzaJúlia KollerPeter VojtášTomáš HorváthJakub LokočZoltán VidnyánszkyLuca RossettoFlorian Spieß
- Topics
- Recommender Systems and Techniques (36 papers)Advanced Bandit Algorithms Research (21 papers)Advanced Image and Video Retrieval Techniques (10 papers)
- Cited by
- Computational Theory and MathematicsInformation SystemsComputer Vision and Pattern Recognition
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEIEEE Access
In The Last Decade
Ladislav Peška
50 papers receiving 422 citations
Peers
Comparison fields: 5 of 67
- Information Systems 155
- Computer Vision and Pattern Recognition 120
- Computational Theory and Mathematics 117
- Artificial Intelligence 115
- Molecular Biology 105
Countries citing papers authored by Ladislav Peška
This map shows the geographic impact of Ladislav Peška'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 Ladislav Peška with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ladislav Peška more than expected).
Fields of papers citing papers by Ladislav Peška
This network shows the impact of papers produced by Ladislav Peška. 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 Ladislav Peška. The network helps show where Ladislav Peška may publish in the future.
Co-authorship network of co-authors of Ladislav Peška
This figure shows the co-authorship network connecting the top 25 collaborators of Ladislav Peška. A scholar is included among the top collaborators of Ladislav Peška 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 Ladislav Peška. Ladislav Peška 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 | 2 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 7 | |
| 7 | 0 | |
| 8 | 4 | |
| 9 | 6 | |
| 10 | 14 | |
| 11 | 4 | |
| 12 | 4 | |
| 13 | 3 | |
| 14 | 24 | |
| 15 | 26 | |
| 16 | 16 | |
| 17 | Fuzzy D’Hondt’s Algorithm for On-line Recommendations Aggregation | 3 |
| 18 | Multimodal Implicit Feedback for Recommender Systems. | 1 |
| 19 | Towards Complex User Feedback and Presentation Context in Recommender Systems. | 1 |
| 20 | Evaluating the Importance of Various Implicit Factors in E-commerce. | 2 |
About Ladislav Peška
Ladislav Peška is a scholar working on Management Science and Operations Research, Computational Mathematics and Information Systems, having authored 61 papers that have together received 426 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (36 papers), Advanced Bandit Algorithms Research (21 papers) and Advanced Image and Video Retrieval Techniques (10 papers). The work is most often cited by research in Computational Theory and Mathematics (117 citations), Information Systems (155 citations) and Computer Vision and Pattern Recognition (120 citations). Ladislav Peška has collaborated with scholars based in Czechia, Italy and Germany. Frequent co-authors include Krisztián Búza, Júlia Koller, Peter Vojtáš, Tomáš Horváth, Jakub Lokoč, Zoltán Vidnyánszky, Luca Rossetto, Florian Spieß, Viktor Gál and Cathal Gurrin. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Access.
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.