Lars Kotthoff
Impact in
- Artificial Intelligence top 1%
- Machine Learning and Data Classification
- Metaheuristic Optimization Algorithms Research
- Machine Learning and Algorithms
- Data Stream Mining Techniques
- Evolutionary Algorithms and Applications
- Software top 10%
Papers in
- Software 3
-
- Machine Learning and Data Classification 11
- Machine Learning and Algorithms 7
- Metaheuristic Optimization Algorithms Research 4
- Multi-Agent Systems and Negotiation 3
- Co-authors
- Joaquin VanschorenFrank HutterBernd BischlMichel LangJakob RichterGiuseppe CasalicchioFlorian PfistererMartin Binder
- Journals
- IEEE Intelligent Systems (2 papers)Artificial Intelligence (2 papers)AI Magazine (2 papers)Journal of Machine Learning Research (2 papers)Constraints (2 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Lars Kotthoff
45 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 182
- Artificial Intelligence 859
- Software 53
- Health Informatics 18
- Computational Theory and Mathematics 208
- Industrial and Manufacturing Engineering 127
Countries citing papers authored by Lars Kotthoff
This map shows the geographic impact of Lars Kotthoff'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 Lars Kotthoff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lars Kotthoff more than expected).
Fields of papers citing papers by Lars Kotthoff
This network shows the impact of papers produced by Lars Kotthoff. 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 Lars Kotthoff. The network helps show where Lars Kotthoff may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lars Kotthoff, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 16 | |
| 5 | 2022 | 2 | |
| 6 | mlr3pipelines - Flexible Machine Learning Pipelines in R | 2021 | 9 |
| 7 | 2021 | 2 | |
| 8 | A first overview of ICCMA’19 | 2020 | 1 |
| 9 | Automated Machine Learning | 2020 | 102 |
| 10 | 2019 | 235 | |
| 11 | 2019 | 3 | |
| 12 | Automated Machine Learning Hit paper breakdown → | 2019 | 830 |
| 13 | 2017 | 47 | |
| 14 | 2017 | 3 | |
| 15 | 2016 | 115 | |
| 16 | 2015 | 3 | |
| 17 | An Open and Reproducible Paper on Openness and Reproducibility of Papers in Computational Science. | 2014 | 3 |
| 18 | Proceedings of the 2014 International Conference on Meta-learning and Algorithm Selection - Volume 1201 | 2014 | 4 |
| 19 | 2013 | 200 | |
| 20 | 2012 | 57 |
About Lars Kotthoff
Lars Kotthoff is a scholar working on Software, Artificial Intelligence, Computer Networks and Communications, Signal Processing and Information Systems and Management, having authored 50 papers that have together received 1.9k indexed citations. Recurring topics across this work include Constraint Satisfaction and Optimization (11 papers), Machine Learning and Data Classification (11 papers), Machine Learning and Algorithms (7 papers), Data Mining Algorithms and Applications (6 papers), Data Management and Algorithms (6 papers), Scientific Computing and Data Management (4 papers), Metaheuristic Optimization Algorithms Research (4 papers) and Multi-Agent Systems and Negotiation (3 papers). The work is most often cited by research in Artificial Intelligence (859 citations), Software (53 citations), Health Informatics (18 citations), Computational Theory and Mathematics (208 citations) and Industrial and Manufacturing Engineering (127 citations). Lars Kotthoff has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Joaquin Vanschoren, Frank Hutter, Bernd Bischl, Michel Lang, Jakob Richter, Giuseppe Casalicchio, Florian Pfisterer, Martin Binder, Stefan Coors and Patrick Schratz. Their work appears in journals such as IEEE Intelligent Systems, Artificial Intelligence, AI Magazine, Journal of Machine Learning Research and Constraints.
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.