Lars Kotthoff

4.9k citations
74 papers · 3.1k · 3 hit papers · h-index 18

Impact in

    • Machine Learning and Data Classification
    • Metaheuristic Optimization Algorithms Research
    • Machine Learning and Algorithms
    • Data Stream Mining Techniques
    • Evolutionary Algorithms and Applications
  • Software top 5%

Papers in

Lars Kotthoff

69 papers receiving 3.0k citations

Lars Kotthoff's Hit Papers

mlr3: A modern object-oriented machine learning framework in R 2019 · 297 citations
2970+2+4Years since publication2505007501000

Peers

Lars Kotthoff
Comparison fields: 5 of 178
  • Artificial Intelligence 1.6k
  • Software 117
  • Management Science and Operations Research 307
  • Industrial and Manufacturing Engineering 254
  • Computational Theory and Mathematics 366
Replace Subramaniam Nachimuthu Deepa with:
Subramaniam Nachimuthu Deepa India
Joaquin Vanschoren Netherlands
Said Jadid Abdulkadir Malaysia
Matthias Feurer Germany
Satchidananda Dehuri India
Ronaldo Cristiano Prati Brazil
Randall Wald United States
Ganqu Cui China
Shengding Hu China
Oliver Krämer Germany
Lars Kotthoff relative to Subramaniam Nachimuthu Deepa India Subramaniam Nachimuthu Deepa's profile →
Citations per field
00.5×1.5×2×2.3×
Subramaniam Nachimuthu Deepa · 1×
Citations per year

Countries citing papers authored by Lars Kotthoff

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Lars Kotthoff Line = papers co-authored together Lars Kotthoff links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Automated Machine Learning
Hit paper breakdown →
20191068
2
Auto-WEKA: Automatic Model Selection and Hyperparameter Optimization in WEKA
Hit paper breakdown →
2019427
3
mlr3: A modern object-oriented machine learning framework in R
Hit paper breakdown →
2019297
4 2016186
5 2016146
6 2014139
7
Automated Machine Learning
2020133
8 201274
9 202070
10 201763
11 201550
12 201439
13 201635
14 201628
15 201928
16 201022
17 202321
18 201620
19 201316
20
mlr3pipelines - Flexible Machine Learning Pipelines in R
202111

About Lars Kotthoff

Lars Kotthoff is a scholar working on Computer Networks and Communications, Artificial Intelligence, Signal Processing, Management Science and Operations Research and Software, having authored 74 papers that have together received 3.1k indexed citations. Recurring topics across this work include Constraint Satisfaction and Optimization (28 papers), Data Management and Algorithms (15 papers), Machine Learning and Data Classification (14 papers), Machine Learning and Algorithms (9 papers), AI-based Problem Solving and Planning (7 papers), Data Mining Algorithms and Applications (7 papers), Metaheuristic Optimization Algorithms Research (6 papers) and Model-Driven Software Engineering Techniques (6 papers). The work is most often cited by research in Artificial Intelligence (1.6k citations), Software (117 citations), Management Science and Operations Research (307 citations), Industrial and Manufacturing Engineering (254 citations) and Computational Theory and Mathematics (366 citations). Lars Kotthoff has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Frank Hutter, Joaquin Vanschoren, Holger H. Hoos, Kevin Leyton‐Brown, Chris Thornton, Bernd Bischl, Pascal Kerschke, Michel Lang, Ian P. Gent and Ian Miguel. Their work appears in journals such as Artificial Intelligence, Constraints, IEEE Intelligent Systems, AI Magazine and Lecture notes in computer science.

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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