Lars Hertel
Impact in
- Signal Processing top 10%
- Music and Audio Processing
- Speech and Audio Processing
Papers in
-
- Speech Recognition and Synthesis 5
- Machine Learning and Data Classification 2
-
- Music and Audio Processing 6
- Speech and Audio Processing 6
- Co-authors
- Erhardt Barth (1 shared paper)Thomas Martinetz (2 shared papers)Huy Phan (6 shared papers)Radoslaw Mazur (6 shared papers)Marco Maaß (6 shared papers)Alfred Mertins (6 shared papers)Pierre Baldi (3 shared papers)N. Senninger (1 shared paper)
- Journals
- IEEE/ACM Transactions on Audio Speech and Language Processing (2 papers)Physical review. D (1 paper)British Journal of Haematology (1 paper)Vision Research (1 paper)Journal of Computational and Graphical Statistics (1 paper)
- Partner nations
- GermanyHungaryUnited States
In The Last Decade
Lars Hertel
19 papers receiving 335 citations
Peers
Comparison fields: 5 of 80
- Signal Processing 100
- Developmental Biology 9
- Computer Vision and Pattern Recognition 78
- Pulmonary and Respiratory Medicine 75
- Artificial Intelligence 81
Countries citing papers authored by Lars Hertel
This map shows the geographic impact of Lars Hertel'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 Hertel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lars Hertel more than expected).
Fields of papers citing papers by Lars Hertel
This network shows the impact of papers produced by Lars Hertel. 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 Hertel. The network helps show where Lars Hertel may publish in the future.
Co-authors
The 25 scholars most cited alongside Lars Hertel, 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 | 2004 | 97 | |
| 2 | 2015 | 80 | |
| 3 | 2017 | 47 | |
| 4 | 2016 | 24 | |
| 5 | 2019 | 17 | |
| 6 | Sherpa: Hyperparameter Optimization for Machine Learning Models | 2018 | 16 |
| 7 | 2015 | 14 | |
| 8 | 2021 | 11 | |
| 9 | 2017 | 9 | |
| 10 | 2020 | 7 | |
| 11 | 2013 | 7 | |
| 12 | 2012 | 7 | |
| 13 | 2015 | 6 | |
| 14 | 2002 | 5 | |
| 15 | 2015 | 4 | |
| 16 | On Hyperparameter Optimization for Deep Learning | 2020 | 2 |
| 17 | 2002 | 2 | |
| 18 | 2021 | 1 | |
| 19 | 2003 | 1 | |
| 20 | 2025 | 0 |
About Lars Hertel
Lars Hertel is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Ocean Engineering and Computational Theory and Mathematics, having authored 20 papers that have together received 357 indexed citations. Recurring topics across this work include Music and Audio Processing (6 papers), Speech and Audio Processing (6 papers), Speech Recognition and Synthesis (5 papers), Maritime Navigation and Safety (2 papers), Experimental Learning in Engineering (2 papers), Machine Learning and Data Classification (2 papers), Advanced Multi-Objective Optimization Algorithms (2 papers) and Neutrino Physics Research (1 paper). The work is most often cited by research in Signal Processing (100 citations), Developmental Biology (9 citations), Computer Vision and Pattern Recognition (78 citations), Pulmonary and Respiratory Medicine (75 citations) and Artificial Intelligence (81 citations). Lars Hertel has collaborated with scholars based in Germany, Hungary and United States. Frequent co-authors include Erhardt Barth, Thomas Martinetz, Huy Phan, Radoslaw Mazur, Marco Maaß, Alfred Mertins, Pierre Baldi, N. Senninger, Dirk Domagk and Achim Heinecke. Their work appears in journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, Physical review. D, British Journal of Haematology, Vision Research and Journal of Computational and Graphical Statistics.
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.