Jasmina Bogojeska
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Information Systems top 10%
- Molecular Biology
- Infectious Diseases
- Co-authors
- D. WiesmannThomas LengauerIoana GiurgiuSteffen BickelTobias SchefferAndré AltmannMaurizio ZazziDávid Lányi
- Topics
- HIV Research and Treatment (6 papers)Machine Learning and Algorithms (4 papers)Software System Performance and Reliability (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaBioinformaticsThe Journal of Infectious Diseases
- Partner nations
- SwitzerlandGermanyUnited States
In The Last Decade
Jasmina Bogojeska
23 papers receiving 397 citations
Peers
Comparison fields: 5 of 90
- Artificial Intelligence 193
- Computer Networks and Communications 133
- Information Systems 86
- Molecular Biology 50
- Infectious Diseases 39
Countries citing papers authored by Jasmina Bogojeska
This map shows the geographic impact of Jasmina Bogojeska'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 Jasmina Bogojeska with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jasmina Bogojeska more than expected).
Fields of papers citing papers by Jasmina Bogojeska
This network shows the impact of papers produced by Jasmina Bogojeska. 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 Jasmina Bogojeska. The network helps show where Jasmina Bogojeska may publish in the future.
Co-authorship network of co-authors of Jasmina Bogojeska
This figure shows the co-authorship network connecting the top 25 collaborators of Jasmina Bogojeska. A scholar is included among the top collaborators of Jasmina Bogojeska 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 Jasmina Bogojeska. Jasmina Bogojeska is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 4 | |
| 3 | 3 | |
| 4 | 6 | |
| 5 | 2 | |
| 6 | 37 | |
| 7 | 10 | |
| 8 | 117 | |
| 9 | 8 | |
| 10 | 10 | |
| 11 | 1 | |
| 12 | 20 | |
| 13 | 7 | |
| 14 | History-alignment Models for Bias-aware Prediction of Virological Response to HIV Combination Therapy | 5 |
| 15 | History distribution matching method for predicting effectiveness of HIV combination therapies | 1 |
| 16 | 17 | |
| 17 | 16 | |
| 18 | 8 | |
| 19 | 103 | |
| 20 | 12 |
About Jasmina Bogojeska
Jasmina Bogojeska is a scholar working on Virology, Hepatology and Computer Networks and Communications, having authored 24 papers that have together received 409 indexed citations. Recurring topics across this work include HIV Research and Treatment (6 papers), Machine Learning and Algorithms (4 papers) and Software System Performance and Reliability (4 papers). The work is most often cited by research in Health Informatics (10 citations), Virology (35 citations) and Artificial Intelligence (193 citations). Jasmina Bogojeska has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include D. Wiesmann, Thomas Lengauer, Ioana Giurgiu, Steffen Bickel, Tobias Scheffer, André Altmann, Maurizio Zazzi, Dávid Lányi, Finale Doshi‐Velez and Volker Röth. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics and The Journal of Infectious Diseases.
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.