Lucas Mentch
Impact in
- Statistics and Probability top 5%
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Artificial Intelligence top 10%
- Explainable Artificial Intelligence (XAI)
- Machine Learning and Data Classification
- Bayesian Methods and Mixture Models
- Neural Networks and Applications
- Topic Modeling
Papers in
-
- Statistical Methods and Inference 5
-
- Probabilistic and Robust Engineering Design 3
- Co-authors
- Giles HookerSiyu ZhouHaim BarOliver LindhiemIsaac T. PetersenMahya MehrmohamadiJason W. LocasaleEric A. Youngstrom
- Journals
- Statistics and Computing (3 papers)Journal of Machine Learning Research (2 papers)Scientific Reports (1 paper)Journal of Sleep Research (1 paper)Evaluation and Program Planning (1 paper)
- Partner nations
- United StatesNetherlandsCanada
In The Last Decade
Lucas Mentch
27 papers receiving 479 citations
Peers
Comparison fields: 5 of 144
- Statistics and Probability 88
- Artificial Intelligence 168
- Health Informatics 4
- Statistics, Probability and Uncertainty 19
- Environmental Engineering 32
Countries citing papers authored by Lucas Mentch
This map shows the geographic impact of Lucas Mentch'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 Lucas Mentch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lucas Mentch more than expected).
Fields of papers citing papers by Lucas Mentch
This network shows the impact of papers produced by Lucas Mentch. 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 Lucas Mentch. The network helps show where Lucas Mentch may publish in the future.
Co-authors
The 25 scholars most cited alongside Lucas Mentch, 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 | 1 | |
| 3 | 2024 | 4 | |
| 4 | 2023 | 31 | |
| 5 | 2022 | 12 | |
| 6 | 2021 | 14 | |
| 7 | V-statistics and Variance Estimation | 2021 | 3 |
| 8 | 2021 | 103 | |
| 9 | 2020 | 18 | |
| 10 | Asymptotic Distributions and Rates of Convergence for Random Forests and other Resampled Ensemble Learners. | 2019 | 2 |
| 11 | Asymptotic Normality and Variance Estimation For Supervised Ensembles. | 2019 | 1 |
| 12 | 2019 | 6 | |
| 13 | 2019 | 17 | |
| 14 | 2016 | 29 | |
| 15 | 2016 | 35 | |
| 16 | 2016 | 14 | |
| 17 | 2016 | 17 | |
| 18 | Ensemble Trees and CLTs: Statistical Inference for Supervised Learning | 2014 | 9 |
| 19 | 2010 | 2 | |
| 20 | 2010 | 3 |
About Lucas Mentch
Lucas Mentch is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, Artificial Intelligence, Signal Processing and Experimental and Cognitive Psychology, having authored 28 papers that have together received 498 indexed citations. Recurring topics across this work include Neural Networks and Applications (6 papers), Statistical Methods and Inference (5 papers), Bayesian Methods and Mixture Models (3 papers), Machine Learning and Algorithms (3 papers), Probabilistic and Robust Engineering Design (3 papers), Machine Learning and Data Classification (3 papers), Quantum Computing Algorithms and Architecture (3 papers) and Face and Expression Recognition (3 papers). The work is most often cited by research in Statistics and Probability (88 citations), Artificial Intelligence (168 citations), Health Informatics (4 citations), Statistics, Probability and Uncertainty (19 citations) and Environmental Engineering (32 citations). Lucas Mentch has collaborated with scholars based in United States, Netherlands and Canada. Frequent co-authors include Giles Hooker, Siyu Zhou, Haim Bar, Oliver Lindhiem, Isaac T. Petersen, Mahya Mehrmohamadi, Jason W. Locasale, Eric A. Youngstrom, Andrew G. Clark and Daniel J. Buysse. Their work appears in journals such as Statistics and Computing, Journal of Machine Learning Research, Scientific Reports, Journal of Sleep Research and Evaluation and Program Planning.
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.