Robert Schall

126 papers receiving 3.4k citations

Robert Schall's Hit Papers

Estimation in Generalized Linear Models with Random Effects 1991 · 930 citations
9300+11+23Years since publication250500750

Peers

Robert Schall
Comparison fields: 5 of 161
  • Statistics and Probability 743
  • Orthopedics and Sports Medicine 338
  • Infectious Diseases 452
  • Pharmacology 173
  • Complementary and alternative medicine 163
Replace Lynda Ann Frassetto with:
Lynda Ann Frassetto United States
Chris Gennings United States
Horace Jack Spencer United States
Bo Martin Bibby Denmark
W. A. Coward United Kingdom
Torben Martinussen Denmark
Corinna Koebnick United States
Jens‐Christian Holm Denmark
J. Douglas Maxwell United Kingdom
Stefano Palomba Italy
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Citations per year

Countries citing papers authored by Robert Schall

Since Specialization
Citations

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

Fields of papers citing papers by Robert Schall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Robert Schall, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Robert Schall Line = papers co-authored together Robert Schall links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 131 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Estimation in Generalized Linear Models with Random Effects
Hit paper breakdown →
1991930
2 1990306
3 2015207
4 2015184
5 1994152
6 1993142
7 2004129
8 1991104
9 198894
10 200257
11 199655
12 199554
13 199752
14 200248
15 199241
16
Comparison of absorption rates in bioequivalence studies of immediate release drug formulations.
199241
17 201738
18 199237
19 199035
20 199135

About Robert Schall

Robert Schall is a scholar working on Statistics and Probability, Pharmacology, Orthopedics and Sports Medicine, Pharmacology and Pediatrics, Perinatology and Child Health, having authored 131 papers that have together received 3.7k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (26 papers), Pharmacogenetics and Drug Metabolism (19 papers), Sports Performance and Training (13 papers), Blood Pressure and Hypertension Studies (7 papers), Statistical Methods and Bayesian Inference (6 papers), Pharmaceutical studies and practices (6 papers), Sports injuries and prevention (5 papers) and Drug Solubulity and Delivery Systems (5 papers). The work is most often cited by research in Statistics and Probability (743 citations), Orthopedics and Sports Medicine (338 citations), Infectious Diseases (452 citations), Pharmacology (173 citations) and Complementary and alternative medicine (163 citations). Robert Schall has collaborated with scholars based in South Africa, United States and United Kingdom. Frequent co-authors include Timothy David Noakes, Kathryn Helen Myburgh, H. G. Luus, Lionel Henry Opie, Divan Aristo Burger, Jonathan C. Cohen, Frank O. Müller, Gerhard Groenewoud, Hans K. L. Hundt and Hendrik C. Barnard. Their work appears in journals such as British Journal of Clinical Pharmacology, Pharmaceutical Statistics, International Journal of Performance Analysis in Sport, Statistics in Medicine and European Journal of Clinical Pharmacology.

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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