Max Kühn

41.5k citations
44 papers · 12.0k indexed · 3 hit papers · h-index 17

Max Kühn

41 papers receiving 11.7k citations

Hit Papers

Applied Predictive Modeling4.5k20082026201420202.0k4.0k6.0k

Peers

Max Kühn
Comparison fields: 5 of 230
  • Environmental Engineering 1.4k
  • Ecological Modeling 385
  • Ecology 1.5k
  • Global and Planetary Change 1.1k
  • Nature and Landscape Conservation 601
Replace Anne‐Laure Boulesteix with:
Anne‐Laure Boulesteix Germany
Carolin Strobl Germany
Gareth James United States
Daniela Witten United States
Alexander Gordon United States
Matthew C. Wiener United States
Naomi Altman United States
Charles E. McCulloch United States
Rob J. Hyndman Australia
Andy Liaw United States
Max Kühn relative to Anne‐Laure Boulesteix Germany Anne‐Laure Boulesteix's profile →
Citations per field
00.5×1.7×
Anne‐Laure Boulesteix · 1×
Citations per year

Countries citing papers authored by Max Kühn

Since Specialization
Citations

This map shows the geographic impact of Max Kühn'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 Max Kühn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Max Kühn more than expected).

Fields of papers citing papers by Max Kühn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Max Kühn. 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 Max Kühn. The network helps show where Max Kühn may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Max Kühn, 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 Max Kühn Line = papers co-authored together Max Kühn links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20216
3 20213
4
C5.0 Decision Trees and Rule-Based Models [R package C50 version 0.1.5]
20218
5 202041
6 20190
7 20192
8 201738
9
Modelagem sistêmica do primeiro movimento de Brinquedo de Roda, de Heitor Villa-Lobos, como uma metodologia para o planejamento composicional de Villa
20161
10 201611
11 201510
12
CRAN Task View: Reproducible Research
20151
13 20146
14
Applied Predictive Modelingbreakdown →
20134474
15 201220
16 201119
17 201057
18 2010150
19
Building Predictive Models in R Using the caret Packagebreakdown →
2008519
20
Building Predictive Models in R Using the caret Packagebreakdown →
20086034

About Max Kühn

Max Kühn is a scholar working on Architecture, Psychiatry and Mental health, Physiology, Computational Theory and Mathematics and Forestry, having authored 44 papers that have together received 12.0k indexed citations. Recurring topics across this work include Musculoskeletal pain and rehabilitation (4 papers), Alzheimer's disease research and treatments (4 papers), Computational Drug Discovery Methods (4 papers), Music Technology and Sound Studies (3 papers), Gene expression and cancer classification (3 papers), Dementia and Cognitive Impairment Research (3 papers), Machine Learning and Data Classification (3 papers) and Data Analysis with R (3 papers). The work is most often cited by research in Environmental Engineering (1.4k citations), Ecological Modeling (385 citations), Ecology (1.5k citations), Global and Planetary Change (1.1k citations) and Nature and Landscape Conservation (601 citations). Max Kühn has collaborated with scholars based in United States, Brazil and United Kingdom. Frequent co-authors include Kjell Johnson, Eve H. Pickering, Holly Soares, Jingxia Liu, Kelly R. Bales, Chengjie Xiong, Rebecca Craig‐Schapiro, Travis T. Wager, Thomas P. Misko and Richard J. Perrin. Their work appears in journals such as PLoS ONE, Journal of Medicinal Chemistry, Journal of Pain Research, Current Topics in Medicinal Chemistry and Alzheimer s & Dementia.

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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