Andreas Groll

2.0k total citations
63 papers, 823 citations indexed

About

Andreas Groll is a scholar working on Economics and Econometrics, Statistics and Probability and Orthopedics and Sports Medicine. According to data from OpenAlex, Andreas Groll has authored 63 papers receiving a total of 823 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Economics and Econometrics, 18 papers in Statistics and Probability and 14 papers in Orthopedics and Sports Medicine. Recurrent topics in Andreas Groll's work include Statistical Methods and Inference (15 papers), Sports Performance and Training (13 papers) and Sports Analytics and Performance (13 papers). Andreas Groll is often cited by papers focused on Statistical Methods and Inference (15 papers), Sports Performance and Training (13 papers) and Sports Analytics and Performance (13 papers). Andreas Groll collaborates with scholars based in Germany, Switzerland and United States. Andreas Groll's co-authors include Gerhard Tutz, Gunther Schauberger, Andreas Bender, Fabian Scheipl, Thomas Kneib, Astrid Zech, Astrid Junge, Anna Lina Rahlf, Simon Steib and Karsten Hollander and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Andreas Groll

57 papers receiving 805 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andreas Groll Germany 16 202 181 139 95 73 63 823
Harry J. Khamis United States 20 77 0.4× 249 1.4× 87 0.6× 39 0.4× 119 1.6× 79 1.9k
Christine Wallisch Austria 10 75 0.4× 22 0.1× 120 0.9× 70 0.7× 47 0.6× 18 1.1k
Maciej Liśkiewicz Germany 10 67 0.3× 22 0.1× 133 1.0× 138 1.5× 76 1.0× 41 1.7k
Edward L. Boone United States 18 33 0.2× 58 0.3× 201 1.4× 77 0.8× 35 0.5× 72 1.1k
Jean‐Baptist du Prel Germany 13 93 0.5× 18 0.1× 84 0.6× 37 0.4× 94 1.3× 44 1.5k
Fredrik A. Dahl Norway 23 146 0.7× 46 0.3× 80 0.6× 101 1.1× 50 0.7× 93 2.8k
Jason J. Z. Liao United States 11 47 0.2× 21 0.1× 127 0.9× 16 0.2× 68 0.9× 50 915
Ahmed N. Albatineh Kuwait 18 43 0.2× 16 0.1× 93 0.7× 96 1.0× 34 0.5× 66 1.1k
Ronald W. Helms United States 20 39 0.2× 42 0.2× 189 1.4× 38 0.4× 229 3.1× 59 2.2k
Kung-Yee Liang United States 3 83 0.4× 14 0.1× 226 1.6× 42 0.4× 51 0.7× 6 1.0k

Countries citing papers authored by Andreas Groll

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Groll

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andreas Groll

This figure shows the co-authorship network connecting the top 25 collaborators of Andreas Groll. A scholar is included among the top collaborators of Andreas Groll 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 Andreas Groll. Andreas Groll 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.
Ickstadt, Katja, André Conrad, Andreas Diekmann, et al.. (2025). Beschleunigung umweltpolitischer Entscheidungen durch verlässliche Daten und effiziente statistische Methoden. AStA Wirtschafts- und Sozialstatistisches Archiv. 19(3-4). 113–159.
2.
Groll, Andreas, et al.. (2024). Deducing neighborhoods of classes from a fitted model. AStA Advances in Statistical Analysis. 108(2). 395–425. 1 indexed citations
3.
Groll, Andreas, et al.. (2024). Using sequential statistical tests for efficient hyperparameter tuning. AStA Advances in Statistical Analysis. 108(2). 441–460. 1 indexed citations
4.
Liebig, Thomas, et al.. (2024). Machine learning predicts peak oxygen uptake and peak power output for customizing cardiopulmonary exercise testing using non-exercise features. European Journal of Applied Physiology. 124(11). 3421–3431. 1 indexed citations
6.
Groll, Andreas, et al.. (2023). Predictive modeling of lower extremity injury risk in male elite youth soccer players using least absolute shrinkage and selection operator regression. Scandinavian Journal of Medicine and Science in Sports. 33(6). 1021–1033. 7 indexed citations
7.
Groll, Andreas, et al.. (2023). Accounting for clustering in automated variable selection using hospital data: a comparison of different LASSO approaches. BMC Medical Research Methodology. 23(1). 280–280.
8.
Groll, Andreas, Axel Schmermund, Bernd Nowak, et al.. (2022). Correlation of Walking Activity and Cardiac Hospitalizations in Coronary Patients for 1 Year Post Cardiac Rehabilitation: The More Steps, the Better!. Clinical Medicine Insights Cardiology. 16. 1967616425–1967616425.
9.
Groll, Andreas & Dominik Liebl. (2022). Editorial special issue: Statistics in sports. AStA Advances in Statistical Analysis. 107(1-2). 1–7. 2 indexed citations
10.
Groll, Andreas, et al.. (2021). Introducing LASSO-type penalisation to generalised joint regression modelling for count data. AStA Advances in Statistical Analysis. 107(1-2). 127–151. 1 indexed citations
11.
Stoll, Friederike, et al.. (2020). Using the Causal Inference Framework to Support Individualized Drug Treatment Decisions Based on Observational Healthcare Data. SHILAP Revista de lepidopterología. 1 indexed citations
12.
Meid, Andreas D., et al.. (2020). <p>Using the Causal Inference Framework to Support Individualized Drug Treatment Decisions Based on Observational Healthcare Data</p>. Clinical Epidemiology. Volume 12. 1223–1234. 3 indexed citations
13.
Roider, Julia, Maximilian Muenchhoff, Emily Adland, et al.. (2019). Increased Regulatory T-Cell Activity and Enhanced T-Cell Homeostatic Signaling in Slow Progressing HIV-infected Children. Frontiers in Immunology. 10. 213–213. 10 indexed citations
14.
Roider, Julia, J. Zachary Porterfield, Paul Ogongo, et al.. (2019). Plasma IL-5 but Not CXCL13 Correlates With Neutralization Breadth in HIV-Infected Children. Frontiers in Immunology. 10. 1497–1497. 4 indexed citations
15.
Meid, Andreas D., Andreas Groll, Dirk Heider, et al.. (2018). Prediction of Drug-Related Risks Using Clinical Context Information in Longitudinal Claims Data. Value in Health. 21(12). 1390–1398. 7 indexed citations
16.
Muenchhoff, Maximilian, Michael D. Healy, Ravesh Singh, et al.. (2017). Malnutrition in HIV-Infected Children Is an Indicator of Severe Disease with an Impaired Response to Antiretroviral Therapy. AIDS Research and Human Retroviruses. 34(1). 46–55. 37 indexed citations
17.
Groll, Andreas & Gerhard Tutz. (2016). Variable selection in discrete survival models including heterogeneity. Lifetime Data Analysis. 23(2). 305–338. 7 indexed citations
18.
Meid, Andreas D., Renate Quinzler, Andreas Groll, et al.. (2016). Longitudinal evaluation of medication underuse in older outpatients and its association with quality of life. European Journal of Clinical Pharmacology. 72(7). 877–885. 16 indexed citations
19.
Meid, Andreas D., Andreas Groll, Ulrich Schieborr, Jochen Walker, & Walter E. Haefeli. (2016). How can we define and analyse drug exposure more precisely to improve the prediction of hospitalizations in longitudinal (claims) data?. European Journal of Clinical Pharmacology. 73(3). 373–380. 2 indexed citations
20.
Groll, Andreas, et al.. (2012). Regularization for Generalized Additive Mixed Models by Likelihood-based Boosting. Methods of Information in Medicine. 51(2). 168–177. 26 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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