Elliot M. Cramer

39 papers receiving 1.8k citations

Elliot M. Cramer's Hit Papers

Psychosocial Factors in the Irritable Bowel Syndrome 1988 · 622 citations
6220+20+40Years since publication200400600

Peers

Elliot M. Cramer
Comparison fields: 5 of 175
  • Gastroenterology 566
  • Statistics and Probability 308
  • Pharmacy 67
  • Complementary and Manual Therapy 31
  • Computational Mathematics 8
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Countries citing papers authored by Elliot M. Cramer

Since Specialization
Citations

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

Fields of papers citing papers by Elliot M. Cramer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Elliot M. Cramer. 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 Elliot M. Cramer. The network helps show where Elliot M. Cramer may publish in the future.

Co-authors

The 17 scholars most cited alongside Elliot M. Cramer, 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 Elliot M. Cramer Line = papers co-authored together Elliot M. Cramer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Psychosocial Factors in the Irritable Bowel Syndrome
Hit paper breakdown →
1988622
2
Multivariate Analysis
Hit paper breakdown →
1966405
3 1974200
4 1987112
5 1979110
6 1968103
7 195892
8 196678
9 198049
10 197249
11 198029
12 197127
13 197819
14 197416
15 197215
16 197412
17 196411
18 19759
19 19678
20 19624

About Elliot M. Cramer

Elliot M. Cramer is a scholar working on Management Science and Operations Research, Statistics and Probability, Food Science, Artificial Intelligence and Sociology and Political Science, having authored 40 papers that have together received 2.0k indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (5 papers), Advanced Statistical Methods and Models (5 papers), Embedded Systems Design Techniques (2 papers), Noise Effects and Management (2 papers), Gastrointestinal motility and disorders (2 papers), Statistical Methods and Applications (2 papers), Spectroscopy and Chemometric Analyses (2 papers) and Numerical Methods and Algorithms (2 papers). The work is most often cited by research in Gastroenterology (566 citations), Statistics and Probability (308 citations), Pharmacy (67 citations), Complementary and Manual Therapy (31 citations) and Computational Mathematics (8 citations). Elliot M. Cramer has collaborated with scholars based in United States, Germany and Togo. Frequent co-authors include R. Darrell Bock, Mark I. Appelbaum, Betsy Lowman, Daphne C. McKee, Douglas A. Drossman, C. Madeline Mitchell, Robert S. Sandler, W. Alan Nicewander, W. H. Huggins and R. Darrell Bock. Their work appears in journals such as Multivariate Behavioral Research, Review of Educational Research, Journal of the American Statistical Association, Psychometrika and Psychological Bulletin.

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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