Thomas Suesse

1.1k total citations
45 papers, 439 citations indexed

About

Thomas Suesse is a scholar working on Statistics and Probability, Economics and Econometrics and Media Technology. According to data from OpenAlex, Thomas Suesse has authored 45 papers receiving a total of 439 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Statistics and Probability, 11 papers in Economics and Econometrics and 8 papers in Media Technology. Recurrent topics in Thomas Suesse's work include Statistical Methods and Bayesian Inference (11 papers), Spatial and Panel Data Analysis (9 papers) and Economic and Environmental Valuation (7 papers). Thomas Suesse is often cited by papers focused on Statistical Methods and Bayesian Inference (11 papers), Spatial and Panel Data Analysis (9 papers) and Economic and Environmental Valuation (7 papers). Thomas Suesse collaborates with scholars based in Australia, Germany and New Zealand. Thomas Suesse's co-authors include Bin Jalaludin, Xiaoqi Feng, Thomas Astell‐Burt, Johan Barthélemy, Ivy Liu, Sasha Nikolic, Mirko Brandes, Viktória Kovács, Rok Blagus and Anthony D. Okely and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Environmental Pollution.

In The Last Decade

Thomas Suesse

43 papers receiving 420 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Thomas Suesse Australia 11 88 63 62 56 51 45 439
Shu Xu United States 12 94 1.1× 49 0.8× 63 1.0× 14 0.3× 25 0.5× 54 588
Carla Moreira Portugal 15 43 0.5× 139 2.2× 50 0.8× 21 0.4× 10 0.2× 28 388
Eva M. Shipp United States 16 61 0.7× 16 0.3× 83 1.3× 16 0.3× 17 0.3× 52 655
Suril Mehta United States 11 254 2.9× 5 0.1× 100 1.6× 43 0.8× 48 0.9× 18 544
Hedyeh Ahmadi United States 9 96 1.1× 23 0.4× 13 0.2× 27 0.5× 32 0.6× 25 310
C. D. Kershaw United Kingdom 8 22 0.3× 43 0.7× 40 0.6× 11 0.2× 12 0.2× 14 488
Mohd Bakri Adam Malaysia 12 34 0.4× 88 1.4× 79 1.3× 5 0.1× 14 0.3× 66 549
Wanzer Drane United States 11 27 0.3× 20 0.3× 77 1.2× 17 0.3× 63 1.2× 15 543
Yeonseung Chung South Korea 20 669 7.6× 168 2.7× 82 1.3× 39 0.7× 6 0.1× 50 1.2k
John P. Holcomb United States 13 12 0.1× 63 1.0× 129 2.1× 11 0.2× 52 1.0× 48 806

Countries citing papers authored by Thomas Suesse

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Thomas Suesse

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Suesse. A scholar is included among the top collaborators of Thomas Suesse based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Thomas Suesse. Thomas Suesse is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Gunawan, David, et al.. (2025). Variational Bayes inference for simultaneous autoregressive models with missing data. Statistics and Computing. 35(3).
2.
Suesse, Thomas, et al.. (2025). An assessment of spatial random forests for environmental mapping: the case of groundwater nitrate concentration. Environmental Modelling & Software. 193. 106626–106626.
3.
Nikolic, Sasha, Thomas Suesse, Sarah Grundy, et al.. (2025). Assessment integrity and validity in the teaching laboratory: adapting to GenAI by developing an understanding of the verifiable learning objectives behind laboratory assessment selection. European Journal of Engineering Education. 50(4). 673–701. 3 indexed citations
4.
Gunawan, David, et al.. (2024). A Marginal Maximum Likelihood Approach for Hierarchical Simultaneous Autoregressive Models with Missing Data. Mathematics. 12(23). 3870–3870. 1 indexed citations
5.
Suesse, Thomas, et al.. (2023). Spatial linear discriminant analysis approaches for remote-sensing classification. Spatial Statistics. 57. 100775–100775. 1 indexed citations
6.
Nikolic, Sasha, Thomas Suesse, Sarah Grundy, et al.. (2022). A european vs australasian comparison of engineering laboratory learning objectives rankings. UWA Profiles and Research Repository (University of Western Australia). 558–567. 4 indexed citations
7.
Hassan, Hicham I. Cheikh, Karumathil Murali, Kelly Lambert, et al.. (2022). Acute kidney injury increases risk of kidney stones—a retrospective propensity score matched cohort study. Nephrology Dialysis Transplantation. 38(1). 138–147. 2 indexed citations
8.
Feng, Xiaoqi, et al.. (2022). Associations between green space, air pollution and birthweight in Sydney Metropolitan Area, Australia. Urban forestry & urban greening. 76. 127726–127726. 10 indexed citations
9.
Feng, Xiaoqi, et al.. (2021). Greener neighbourhoods, healthier birth outcomes? Evidence from Australia. Environmental Pollution. 278. 116814–116814. 12 indexed citations
10.
Kovács, Viktória, Gregor Starc, Mirko Brandes, et al.. (2021). Physical activity, screen time and the COVID‐19 school closures in Europe – An observational study in 10 countries. European Journal of Sport Science. 22(7). 1094–1103. 115 indexed citations
11.
Cohen, Tim J., et al.. (2021). The re-greening of east coast Australian rivers: An unprecedented riparian transformation. The Science of The Total Environment. 810. 151309–151309. 15 indexed citations
12.
Benedetti, Roberto, et al.. (2020). Spatial auto‐correlation and auto‐regressive models estimation from sample survey data. Biometrical Journal. 62(6). 1494–1507. 2 indexed citations
13.
Nikolic, Sasha, et al.. (2017). Maximising resource allocation in the teaching laboratory: understanding student evaluations of teaching assistants in a team-based teaching format. European Journal of Engineering Education. 42(6). 1277–1295. 6 indexed citations
14.
Jamali, Sina S., et al.. (2017). Mechanism of ionic conduction in multi-layer polymeric films studied via electrochemical measurement and theoretical modelling. Progress in Organic Coatings. 108. 68–74. 5 indexed citations
15.
Suesse, Thomas & Andrew Zammit‐Mangion. (2017). Computational aspects of the EM algorithm for spatial econometric models with missing data. Journal of Statistical Computation and Simulation. 87(9). 1767–1786. 13 indexed citations
16.
Brown, B. M., et al.. (2012). Wilson Confidence Intervals for the Two-Sample Log-Odds-Ratio in Stratified 2 × 2 Contingency Tables. Communication in Statistics- Theory and Methods. 41(18). 3355–3370. 3 indexed citations
17.
Liu, Ivy, Bhramar Mukherjee, Thomas Suesse, David Sparrow, & Sung Kyun Park. (2008). Graphical diagnostics to check model misspecification for the proportional odds regression model. Statistics in Medicine. 28(3). 412–429. 19 indexed citations
18.
Liu, Ivy & Thomas Suesse. (2008). The Analysis of Stratified Multiple Responses. Biometrical Journal. 50(1). 135–149. 6 indexed citations
19.
Leistritz, Lutz, et al.. (2005). Methods for parameter identification in oscillatory networks and application to cortical and thalamic 600Hz activity. Journal of Physiology-Paris. 99(1). 58–65. 4 indexed citations
20.
Witte, Herbert, et al.. (2004). On the spatio-temporal organisation of quadratic phase-couplings in ‘tracé alternant’ EEG pattern in full-term newborns. Clinical Neurophysiology. 115(10). 2308–2315. 18 indexed citations

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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