Bojan Karlaš
- Artificial Intelligence top 10%
- Computer Networks and Communications
- Information Systems
- Information Systems and Management
- Management Science and Operations Research
- Co-authors
- Ce ZhangWentao WuMaurice WeberBo LiXiaojun XuSangeetha Abdu JyothiMuhsen OwaidaAnkit Singla
- Topics
- Machine Learning and Data Classification (7 papers)Scientific Computing and Data Management (4 papers)Anomaly Detection Techniques and Applications (3 papers)
- Cited by
- Information Systems and ManagementArtificial IntelligenceComputer Networks and Communications
- Journals
- Proceedings of the VLDB EndowmentACM SIGMOD RecordRepository for Publications and Research Data (ETH Zurich)
- Partner nations
- SwitzerlandUnited StatesUnited Kingdom
In The Last Decade
Bojan Karlaš
13 papers receiving 159 citations
Peers
Comparison fields: 5 of 36
- Artificial Intelligence 106
- Computer Networks and Communications 46
- Information Systems 35
- Information Systems and Management 26
- Management Science and Operations Research 25
Countries citing papers authored by Bojan Karlaš
This map shows the geographic impact of Bojan Karlaš'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 Bojan Karlaš with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bojan Karlaš more than expected).
Fields of papers citing papers by Bojan Karlaš
This network shows the impact of papers produced by Bojan Karlaš. 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 Bojan Karlaš. The network helps show where Bojan Karlaš may publish in the future.
Co-authorship network of co-authors of Bojan Karlaš
This figure shows the co-authorship network connecting the top 25 collaborators of Bojan Karlaš. A scholar is included among the top collaborators of Bojan Karlaš 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 Bojan Karlaš. Bojan Karlaš is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 35 | |
| 2 | 6 | |
| 3 | 16 | |
| 4 | 11 | |
| 5 | Ease.ML: A Lifecycle Management System for MLDev and MLOps | 3 |
| 6 | 7 | |
| 7 | 19 | |
| 8 | 2 | |
| 9 | 19 | |
| 10 | 9 | |
| 11 | Is advance knowledge of flow sizes a plausible assumption | 23 |
| 12 | 8 | |
| 13 | 3 |
About Bojan Karlaš
Bojan Karlaš is a scholar working on Information Systems and Management, Artificial Intelligence and Management Science and Operations Research, having authored 13 papers that have together received 161 indexed citations. Recurring topics across this work include Machine Learning and Data Classification (7 papers), Scientific Computing and Data Management (4 papers) and Anomaly Detection Techniques and Applications (3 papers). The work is most often cited by research in Information Systems and Management (26 citations), Artificial Intelligence (106 citations) and Computer Networks and Communications (46 citations). Bojan Karlaš has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include Ce Zhang, Wentao Wu, Maurice Weber, Bo Li, Xiaojun Xu, Sangeetha Abdu Jyothi, Muhsen Owaida, Ankit Singla, Cédric Renggli and Nezihe Merve Gürel. Their work appears in journals such as Proceedings of the VLDB Endowment, ACM SIGMOD Record and Repository for Publications and Research Data (ETH Zurich).
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.