Paul Roback

1.1k citations
26 papers · 834 · h-index 11

Impact in

Papers in

    • Statistics Education and Methodologies 4
    • Advanced Causal Inference Techniques 2
    • Statistical Methods and Bayesian Inference 2
    • Treatment of Major Depression 3
    • Pharmacology and Obesity Treatment 2

Paul Roback

24 papers receiving 782 citations

Peers

Paul Roback
Comparison fields: 5 of 142
  • Statistics and Probability 134
  • Pharmacology 225
  • Biological Psychiatry 24
  • Psychiatry and Mental health 117
  • Experimental and Cognitive Psychology 88
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Citations per field
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Citations per year

Countries citing papers authored by Paul Roback

Since Specialization
Citations

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

Fields of papers citing papers by Paul Roback

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Paul Roback, 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 Paul Roback Line = papers co-authored together Paul Roback links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998168
2 2015156
3 2005120
4 1998100
5 199563
6 202154
7 199548
8 200628
9 201017
10 200115
11 199914
12 200310
13
Beyond Multiple Linear Regression: Applied Generalized Linear Models And Multilevel Models in R
20207
14 19996
15 20126
16 20185
17 20214
18 19944
19 20153
20 20212

About Paul Roback

Paul Roback is a scholar working on Statistics and Probability, Pharmacology, Artificial Intelligence, Economics and Econometrics and Communication, having authored 26 papers that have together received 834 indexed citations. Recurring topics across this work include Statistics Education and Methodologies (4 papers), Data Analysis with R (3 papers), Treatment of Major Depression (3 papers), Advanced Causal Inference Techniques (2 papers), Pharmacology and Obesity Treatment (2 papers), Statistical Methods and Bayesian Inference (2 papers), Behavioral and Psychological Studies (1 paper) and Social Media and Politics (1 paper). The work is most often cited by research in Statistics and Probability (134 citations), Pharmacology (225 citations), Biological Psychiatry (24 citations), Psychiatry and Mental health (117 citations) and Experimental and Cognitive Psychology (88 citations). Paul Roback has collaborated with scholars based in United States and New Zealand. Frequent co-authors include Robert A. Askins, Julie M. Legler, Maurizio Fava, Frederick W. Reimherr, Charles M. Beasley, Jerrold F. Rosenbaum, Frederic M. Quitkin, Jay D. Amsterdam, Geof H. Givens and John Zajecka. Their work appears in journals such as Journal of Computational and Graphical Statistics, The American Statistician, Journal of Quantitative Analysis in Sports, Journal of Social Service Research and International Psychogeriatrics.

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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