David Faraggi
- Statistics and Probability top 0.5%
- Statistical Methods and Inference 16
- Statistical Methods in Clinical Trials 10
- Statistical Methods and Bayesian Inference 8
- Obstetrics and Gynecology top 2%
- Pregnancy and preeclampsia studies 8
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- Reliability and Agreement in Measurement 9
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- Medical Coding and Health Information 7
- Oncology top 5%
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- Pregnancy and Medication Impact 7
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- Imbalanced Data Classification Techniques 6
- Co-authors
- Benjamin ReiserRonen FlussRichard SimonEnrique F. SchistermanRon EpelbaumAndrew KramarNeil J. PerkinsAnne M. Lynch
- Partner nations
- IsraelUnited StatesFrance
In The Last Decade
David Faraggi
82 papers receiving 4.7k citations
Hit Papers
Peers
Comparison fields: 5 of 189
- Statistics and Probability 720
- Obstetrics and Gynecology 296
- Statistics, Probability and Uncertainty 263
- Health Information Management 125
- Oncology 594
Countries citing papers authored by David Faraggi
This map shows the geographic impact of David Faraggi'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 David Faraggi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Faraggi more than expected).
Fields of papers citing papers by David Faraggi
This network shows the impact of papers produced by David Faraggi. 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 David Faraggi. The network helps show where David Faraggi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David Faraggi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 2 | |
| 2 | 2022 | 0 | |
| 3 | 2016 | 42 | |
| 4 | 2014 | 26 | |
| 5 | 2014 | 140 | |
| 6 | 2009 | 32 | |
| 7 | Estimation of the Youden Index and its Associated Cutoff Pointbreakdown → | 2005 | 1908 |
| 8 | 2005 | 29 | |
| 9 | Minimal and best linear combination of oxidative stress and antioxidant biomarkers to discriminate cardiovascular disease. | 2002 | 24 |
| 10 | 2002 | 94 | |
| 11 | 2001 | 54 | |
| 12 | 1997 | 17 | |
| 13 | Bayesian nerual network models for censored data | 1997 | 2 |
| 14 | 1996 | 115 | |
| 15 | 1994 | 10 | |
| 16 | 1992 | 1 | |
| 17 | 1992 | 1 | |
| 18 | 1991 | 20 | |
| 19 | 1990 | 102 | |
| 20 | 1987 | 1 |
About David Faraggi
David Faraggi is a scholar working on Statistics and Probability, Health Information Management, Statistics, Probability and Uncertainty, Chemical Health and Safety and Obstetrics and Gynecology, having authored 83 papers that have together received 4.9k indexed citations. Recurring topics across this work include Statistical Methods and Inference (16 papers), Statistical Methods in Clinical Trials (10 papers), Reliability and Agreement in Measurement (9 papers), Pregnancy and preeclampsia studies (8 papers), Statistical Methods and Bayesian Inference (8 papers), Pregnancy and Medication Impact (7 papers), Medical Coding and Health Information (7 papers) and Imbalanced Data Classification Techniques (6 papers). The work is most often cited by research in Statistics and Probability (720 citations), Obstetrics and Gynecology (296 citations), Statistics, Probability and Uncertainty (263 citations), Health Information Management (125 citations) and Oncology (594 citations). David Faraggi has collaborated with scholars based in Israel, United States and France. Frequent co-authors include Benjamin Reiser, Ronen Fluss, Richard Simon, Enrique F. Schisterman, Ron Epelbaum, Andrew Kramar, Neil J. Perkins, Anne M. Lynch, Jean Wactawski‐Wende and Sunni L. Mumford. Their work appears in journals such as Statistics in Medicine, Biometrical Journal, Cancer, American Journal of Obstetrics and Gynecology and Biometrics.
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.