Veselka Boeva
- Artificial Intelligence top 10%
- Management Science and Operations Research top 10%
- Molecular Biology
- Information Systems top 10%
- Electrical and Electronic Engineering
- Co-authors
- Elena TsiporkovaEmiliano CasalicchioHåkan GrahnNiklas LavessonBernard De BaetsMartin BoldtAnton BorgEva García-Martín
- Topics
- Logic, Reasoning, and Knowledge (10 papers)Time Series Analysis and Forecasting (10 papers)Advanced Clustering Algorithms Research (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaBioinformaticsExpert Systems with Applications
In The Last Decade
Veselka Boeva
56 papers receiving 337 citations
Peers
Comparison fields: 5 of 80
- Artificial Intelligence 151
- Management Science and Operations Research 56
- Molecular Biology 51
- Information Systems 47
- Electrical and Electronic Engineering 46
Countries citing papers authored by Veselka Boeva
This map shows the geographic impact of Veselka Boeva'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 Veselka Boeva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Veselka Boeva more than expected).
Fields of papers citing papers by Veselka Boeva
This network shows the impact of papers produced by Veselka Boeva. 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 Veselka Boeva. The network helps show where Veselka Boeva may publish in the future.
Co-authorship network of co-authors of Veselka Boeva
This figure shows the co-authorship network connecting the top 25 collaborators of Veselka Boeva. A scholar is included among the top collaborators of Veselka Boeva 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 Veselka Boeva. Veselka Boeva 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 | 3 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 22 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 8 | |
| 9 | 11 | |
| 10 | 1 | |
| 11 | 8 | |
| 12 | 4 | |
| 13 | 9 | |
| 14 | 2 | |
| 15 | 2 | |
| 16 | 13 | |
| 17 | Nonparametric recursive aggregation process | 7 |
| 18 | 6 | |
| 19 | Dempster's Rule of Combination in Modal Logic. | 1 |
| 20 | Plausibility and belief measures induced by Kripke models. | 2 |
About Veselka Boeva
Veselka Boeva is a scholar working on Artificial Intelligence, Signal Processing and Computational Theory and Mathematics, having authored 64 papers that have together received 358 indexed citations. Recurring topics across this work include Logic, Reasoning, and Knowledge (10 papers), Time Series Analysis and Forecasting (10 papers) and Advanced Clustering Algorithms Research (8 papers). The work is most often cited by research in Artificial Intelligence (151 citations), Management Science and Operations Research (56 citations) and Health Informatics (5 citations). Veselka Boeva has collaborated with scholars based in Sweden, Belgium and Bulgaria. Frequent co-authors include Elena Tsiporkova, Emiliano Casalicchio, Håkan Grahn, Niklas Lavesson, Bernard De Baets, Martin Boldt, Anton Borg, Eva García-Martín, Emilia Motoasca and Love Ekenberg. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics and Expert Systems with Applications.
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.