Bojan Karlaš

489 total citations
13 papers, 161 citations indexed

About

Bojan Karlaš is a scholar working on Artificial Intelligence, Information Systems and Management and Management Science and Operations Research. According to data from OpenAlex, Bojan Karlaš has authored 13 papers receiving a total of 161 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 4 papers in Information Systems and Management and 3 papers in Management Science and Operations Research. Recurrent topics in Bojan Karlaš's work include Machine Learning and Data Classification (7 papers), Scientific Computing and Data Management (4 papers) and Anomaly Detection Techniques and Applications (3 papers). Bojan Karlaš is often cited by papers focused on Machine Learning and Data Classification (7 papers), Scientific Computing and Data Management (4 papers) and Anomaly Detection Techniques and Applications (3 papers). Bojan Karlaš collaborates with scholars based in Switzerland, United States and United Kingdom. Bojan Karlaš's co-authors include Ce Zhang, Wentao Wu, Maurice Weber, Bo Li, Xiaojun Xu, Sangeetha Abdu Jyothi, Muhsen Owaida, Cédric Renggli, Ankit Singla and Nezihe Merve Gürel and has published in prestigious journals such as Proceedings of the VLDB Endowment, ACM SIGMOD Record and Repository for Publications and Research Data (ETH Zurich).

In The Last Decade

Bojan Karlaš

13 papers receiving 159 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Bojan Karlaš Switzerland	8	106	46	35	26	25	13	161
Riccardo Tommasini Italy	8	86 0.8×	97 2.1×	51 1.5×	15 0.6×	23 0.9×	43	170
Andreas Heuer Germany	6	72 0.7×	88 1.9×	37 1.1×	17 0.7×	18 0.7×	58	166
Matt Crane New Zealand	7	109 1.0×	65 1.4×	103 2.9×	6 0.2×	22 0.9×	16	192
John Liagouris Switzerland	8	136 1.3×	119 2.6×	100 2.9×	24 0.9×	21 0.8×	16	233
Daoguang Zan China	6	117 1.1×	22 0.5×	95 2.7×	12 0.5×	5 0.2×	11	202
Frédérique Laforest France	6	64 0.6×	68 1.5×	50 1.4×	10 0.4×	12 0.5×	33	131
Herald Kllapi Greece	6	40 0.4×	171 3.7×	156 4.5×	26 1.0×	15 0.6×	8	212
Mihaela Bornea United States	7	141 1.3×	138 3.0×	64 1.8×	12 0.5×	23 0.9×	14	234
Tommaso Soru Germany	7	102 1.0×	48 1.0×	90 2.6×	19 0.7×	51 2.0×	22	177
Jean‐Rémy Falleri France	8	99 0.9×	62 1.3×	199 5.7×	12 0.5×	6 0.2×	37	248

Countries citing papers authored by Bojan Karlaš

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Sort: Min cites: Since: Top N: Style:

13 of 13 papers shown

Weber, Maurice, Xiaojun Xu, Bojan Karlaš, Ce Zhang, & Bo Li. (2023). RAB: Provable Robustness Against Backdoor Attacks. 1311–1328. 35 indexed citations

Schelter, Sebastian, et al.. (2023). Proactively Screening Machine Learning Pipelines with ARGUSEYES. UvA-DARE (University of Amsterdam). 91–94. 6 indexed citations

Karlaš, Bojan, et al.. (2022). dcbench. 1–4. 11 indexed citations

Zhu, Yiwen, Bojan Karlaš, Matteo Interlandi, et al.. (2022). Data Science Through the Looking Glass. ACM SIGMOD Record. 51(2). 30–37. 16 indexed citations

Aguilar, Leonel, David Dao, Nezihe Merve Gürel, et al.. (2021). Ease.ML: A Lifecycle Management System for MLDev and MLOps. Conference on Innovative Data Systems Research. 3 indexed citations

Dao, David, Nezihe Merve Gürel, Nora Hollenstein, et al.. (2021). Ease. ML: A Lifecycle Management System for Machine Learning. Repository for Publications and Research Data (ETH Zurich). 7 indexed citations

Karlaš, Bojan, Matteo Interlandi, Cédric Renggli, et al.. (2020). Building Continuous Integration Services for Machine Learning. 2407–2415. 19 indexed citations

Karlaš, Bojan, Peng Li, Nezihe Merve Gürel, et al.. (2020). Nearest Neighbor Classifiers over Incomplete Information: From Certain Answers to Certain Predictions. Repository for Publications and Research Data (ETH Zurich). 14(3). 255–267. 2 indexed citations

Karlaš, Bojan, et al.. (2020). Nearest neighbor classifiers over incomplete information. Proceedings of the VLDB Endowment. 14(3). 255–267. 19 indexed citations

10.

Renggli, Cédric, Frances Ann Hubis, Bojan Karlaš, et al.. (2019). Ease.ml/ci and Ease.ml/meter in action. Proceedings of the VLDB Endowment. 12(12). 1962–1965. 9 indexed citations

11.

Jyothi, Sangeetha Abdu, et al.. (2019). Is advance knowledge of flow sizes a plausible assumption. 565–580. 23 indexed citations

12.

Karlaš, Bojan, et al.. (2018). AutoML from Service Provider's Perspective: Multi-device, Multi-tenant Model Selection with GP-EI. arXiv (Cornell University). 89. 2829–2838. 3 indexed citations

13.

Karlaš, Bojan, Ji Liu, Wentao Wu, & Ce Zhang. (2018). Ease.ml in action. Proceedings of the VLDB Endowment. 11(12). 2054–2057. 8 indexed citations

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.

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