Thomas Suesse
Impact in
- Speech and Hearing top 5%
- Noise Effects and Management
- Statistics and Probability top 5%
- Statistical Methods and Bayesian Inference
- Statistical Methods and Inference
Papers in
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- Statistical Methods and Bayesian Inference 11
- Statistical Methods and Inference 5
-
- Spatial and Panel Data Analysis 9
- Economic and Environmental Valuation 7
- Co-authors
- Bin Jalaludin (3 shared papers)Thomas Astell‐Burt (3 shared papers)Xiaoqi Feng (3 shared papers)Johan Barthélemy (4 shared papers)Ivy Liu (6 shared papers)Sasha Nikolic (8 shared papers)Anthony D. Okely (2 shared papers)Rok Blagus (2 shared papers)
- Journals
- European Journal of Engineering Education (3 papers)Computational Statistics & Data Analysis (2 papers)Biometrical Journal (2 papers)Spatial Statistics (2 papers)Clinical Neurophysiology (1 paper)
- Partner nations
- AustraliaGermanyNew Zealand
In The Last Decade
Thomas Suesse
43 papers receiving 420 citations
Peers
Comparison fields: 5 of 119
- Speech and Hearing 56
- Statistics and Probability 63
- Health, Toxicology and Mutagenesis 88
- Architecture 6
- Health Informatics 5
Countries citing papers authored by Thomas Suesse
This map shows the geographic impact of Thomas Suesse'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 Thomas Suesse with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Suesse more than expected).
Fields of papers citing papers by Thomas Suesse
This network shows the impact of papers produced by Thomas Suesse. 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 Thomas Suesse. The network helps show where Thomas Suesse may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Suesse, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 115 | |
| 2 | 2020 | 67 | |
| 3 | 2008 | 19 | |
| 4 | 2018 | 19 | |
| 5 | 2004 | 18 | |
| 6 | 2020 | 17 | |
| 7 | 2021 | 15 | |
| 8 | 2022 | 15 | |
| 9 | 2017 | 13 | |
| 10 | 2021 | 12 | |
| 11 | 2022 | 10 | |
| 12 | 2023 | 10 | |
| 13 | 2017 | 10 | |
| 14 | 2017 | 7 | |
| 15 | 2017 | 6 | |
| 16 | 2008 | 6 | |
| 17 | Relationship between learning in the engineering laboratory and student evaluations | 2015 | 6 |
| 18 | 2017 | 5 | |
| 19 | 2013 | 5 | |
| 20 | 2013 | 5 |
About Thomas Suesse
Thomas Suesse is a scholar working on Statistics and Probability, Economics and Econometrics, Media Technology, Sociology and Political Science and Artificial Intelligence, having authored 45 papers that have together received 439 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (11 papers), Spatial and Panel Data Analysis (9 papers), Economic and Environmental Valuation (7 papers), Experimental Learning in Engineering (7 papers), Statistical Methods and Inference (5 papers), Engineering Education and Curriculum Development (5 papers), Bayesian Methods and Mixture Models (4 papers) and Urban Green Space and Health (3 papers). The work is most often cited by research in Speech and Hearing (56 citations), Statistics and Probability (63 citations), Health, Toxicology and Mutagenesis (88 citations), Architecture (6 citations) and Health Informatics (5 citations). Thomas Suesse has collaborated with scholars based in Australia, Germany and New Zealand. Frequent co-authors include Bin Jalaludin, Thomas Astell‐Burt, Xiaoqi Feng, Johan Barthélemy, Ivy Liu, Sasha Nikolic, Anthony D. Okely, Rok Blagus, Mirko Brandes and Viktória Kovács. Their work appears in journals such as European Journal of Engineering Education, Computational Statistics & Data Analysis, Biometrical Journal, Spatial Statistics and Clinical Neurophysiology.
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.