Iván Díaz
Impact in
- Statistics and Probability top 1%
- Advanced Causal Inference Techniques
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Statistical Methods in Clinical Trials
- Geriatrics and Gerontology top 5%
Papers in
-
- Advanced Causal Inference Techniques 41
- Statistical Methods and Inference 25
- Statistical Methods and Bayesian Inference 20
- Statistical Methods in Clinical Trials 12
- Epidemiology 25
- Acute Ischemic Stroke Management 16
- Co-authors
- Mark J. van der Laan (13 shared papers)Hooman Kamel (20 shared papers)Babak B. Navi (18 shared papers)Kara E. Rudolph (23 shared papers)Costantino Iadecola (11 shared papers)Alexander E. Merkler (13 shared papers)Monika M. Safford (7 shared papers)Xian Wu (5 shared papers)
- Journals
- Stroke (10 papers)Biometrics (7 papers)Biostatistics (5 papers)The International Journal of Biostatistics (4 papers)American Journal of Epidemiology (4 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Iván Díaz
88 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 129
- Statistics and Probability 353
- Geriatrics and Gerontology 74
- Family Practice 41
- Internal Medicine 61
- Cardiology and Cardiovascular Medicine 325
Countries citing papers authored by Iván Díaz
This map shows the geographic impact of Iván Díaz'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 Iván Díaz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Iván Díaz more than expected).
Fields of papers citing papers by Iván Díaz
This network shows the impact of papers produced by Iván Díaz. 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 Iván Díaz. The network helps show where Iván Díaz may publish in the future.
Co-authors
The 25 scholars most cited alongside Iván Díaz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 113 | |
| 2 | 2019 | 74 | |
| 3 | 2019 | 51 | |
| 4 | 2019 | 43 | |
| 5 | 2020 | 42 | |
| 6 | 2019 | 42 | |
| 7 | 2021 | 41 | |
| 8 | 2018 | 39 | |
| 9 | 2015 | 39 | |
| 10 | 2020 | 36 | |
| 11 | 2020 | 34 | |
| 12 | 2022 | 34 | |
| 13 | 2021 | 33 | |
| 14 | 2013 | 29 | |
| 15 | 2019 | 25 | |
| 16 | 2013 | 23 | |
| 17 | 2021 | 23 | |
| 18 | 2014 | 22 | |
| 19 | 2022 | 22 | |
| 20 | 2021 | 22 |
About Iván Díaz
Iván Díaz is a scholar working on Statistics and Probability, Epidemiology, Economics and Econometrics, Pulmonary and Respiratory Medicine and Neurology, having authored 97 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Causal Inference Techniques (41 papers), Statistical Methods and Inference (25 papers), Statistical Methods and Bayesian Inference (20 papers), Acute Ischemic Stroke Management (16 papers), Statistical Methods in Clinical Trials (12 papers), Health Systems, Economic Evaluations, Quality of Life (11 papers), Cerebrovascular and Carotid Artery Diseases (9 papers) and Opioid Use Disorder Treatment (8 papers). The work is most often cited by research in Statistics and Probability (353 citations), Geriatrics and Gerontology (74 citations), Family Practice (41 citations), Internal Medicine (61 citations) and Cardiology and Cardiovascular Medicine (325 citations). Iván Díaz has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Mark J. van der Laan, Hooman Kamel, Babak B. Navi, Kara E. Rudolph, Costantino Iadecola, Alexander E. Merkler, Monika M. Safford, Xian Wu, Nima S. Hejazi and Michael Rosenblum. Their work appears in journals such as Stroke, Biometrics, Biostatistics, The International Journal of Biostatistics and American Journal of Epidemiology.
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.