Karl E. Peace

2.2k citations
100 papers · 1.3k · h-index 19

Impact in

Papers in

Karl E. Peace

84 papers receiving 1.2k citations

Peers

Karl E. Peace
Comparison fields: 5 of 159
  • Statistics and Probability 396
  • Management Science and Operations Research 182
  • Statistics, Probability and Uncertainty 96
  • Gastroenterology 51
  • Pharmacology 56
Replace Simon Day with:
Simon Day United Kingdom
Dieter Hauschke Germany
Wilfred J. Westlake United States
Joachim Röhmel Germany
Donald J. Schuirmann United States
Philip Jarvis United Kingdom
Jens Præstgaard United States
Brian Corrigan United States
Byron Wm. Brown United States
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Citations per field
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Citations per year

Countries citing papers authored by Karl E. Peace

Since Specialization
Citations

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

Fields of papers citing papers by Karl E. Peace

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Karl E. Peace. 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 Karl E. Peace. The network helps show where Karl E. Peace may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989252
2 201377
3 199275
4 199271
5 198870
6 199162
7 200748
8 201145
9 199341
10 201733
11 201431
12 202030
13 201028
14 198627
15
An evaluation of triprolidine and pseudoephedrine in the treatment of allergic rhinitis.
198125
16 197823
17 199123
18 199123
19 201019
20 201619

About Karl E. Peace

Karl E. Peace is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, Gastroenterology, Management Science and Operations Research and Economics and Econometrics, having authored 100 papers that have together received 1.3k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (25 papers), Biosimilars and Bioanalytical Methods (7 papers), Pharmaceutical studies and practices (6 papers), Health Systems, Economic Evaluations, Quality of Life (6 papers), Statistical Methods and Bayesian Inference (6 papers), Statistical Distribution Estimation and Applications (6 papers), Statistical Methods and Inference (6 papers) and Optimal Experimental Design Methods (6 papers). The work is most often cited by research in Statistics and Probability (396 citations), Management Science and Operations Research (182 citations), Statistics, Probability and Uncertainty (96 citations), Gastroenterology (51 citations) and Pharmacology (56 citations). Karl E. Peace has collaborated with scholars based in United States, Germany and New Zealand. Frequent co-authors include Kathleen R. Lamborn, Ding‐Geng Chen, Nicholas H. G. Holford, Wen-Ran Zhang, Michael K. Smith, Anand K. Pandurangi, Keith E. Muller, Lili Yu, R H Hunt and Roger E. Flora. Their work appears in journals such as Drug Information Journal, Journal of Biopharmaceutical Statistics, Journal of the American Statistical Association, Biometrics and Proceedings of the National Academy of Sciences.

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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