Edna Schechtman

5.8k citations
145 papers · 4.3k · h-index 36

Impact in

Papers in

Edna Schechtman

143 papers receiving 4.0k citations

Peers

Edna Schechtman
Comparison fields: 5 of 196
  • Statistics and Probability 493
  • Statistics, Probability and Uncertainty 267
  • Obstetrics and Gynecology 237
  • Reproductive Medicine 277
  • Safety, Risk, Reliability and Quality 267
Replace Peter W. Jones with:
Peter W. Jones United Kingdom
David Oakes United States
Mei‐Ling Ting Lee United States
Harald Binder Germany
Jie Chen China
P. A. Jacobs United States
J. P. Royston United Kingdom
Wei Pan United States
Werner Vach Germany
Dimitris Rizopoulos Netherlands
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Citations per field
00.5×6.8×
Peter W. Jones · 1×
Citations per year

Countries citing papers authored by Edna Schechtman

Since Specialization
Citations

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

Fields of papers citing papers by Edna Schechtman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 145 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003367
2 2010301
3 2001209
4 1986171
5 2002170
6 2012156
7 1992124
8 2012114
9 2003110
10 200698
11 201291
12 200690
13 200689
14 200179
15 200577
16 198476
17 199967
18 200658
19 198756
20 201253

About Edna Schechtman

Edna Schechtman is a scholar working on Statistics and Probability, Sociology and Political Science, Management Science and Operations Research, Economics and Econometrics and Statistics, Probability and Uncertainty, having authored 145 papers that have together received 4.3k indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (23 papers), Income, Poverty, and Inequality (19 papers), Advanced Statistical Process Monitoring (14 papers), Traffic and Road Safety (13 papers), Statistical Methods and Inference (11 papers), Economic theories and models (9 papers), Parkinson's Disease Mechanisms and Treatments (8 papers) and DNA Repair Mechanisms (7 papers). The work is most often cited by research in Statistics and Probability (493 citations), Statistics, Probability and Uncertainty (267 citations), Obstetrics and Gynecology (237 citations), Reproductive Medicine (277 citations) and Safety, Risk, Reliability and Quality (267 citations). Edna Schechtman has collaborated with scholars based in Israel, United States and Canada. Frequent co-authors include Shlomo Yitzhaki, Rivka Inzelberg, David Shinar, Nava Dekel, Irit Granot, Amihai Barash, D. V. Hinkley, Richard Compton, Tamar Flash and Ilana Segal. Their work appears in journals such as Accident Analysis & Prevention, Neurology, Biometrika, Journal of Alzheimer s Disease and The Journal of Economic Inequality.

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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