Fernando Alarid‐Escudero
- Oncology top 10%
- Pulmonary and Respiratory Medicine top 10%
- Economics and Econometrics top 5%
- Epidemiology
- Obstetrics and Gynecology top 5%
- Co-authors
- Hawre JalalEva A. EnnsKaren M. KuntzEline KrijkampPetros PechlivanoglouKaty B. KozhimannilM. G. Myriam HuninkElizabeth A. Howell
- Topics
- Health Systems, Economic Evaluations, Quality of Life (18 papers)Colorectal Cancer Screening and Detection (11 papers)Global Cancer Incidence and Screening (8 papers)
- Partner nations
- United StatesMexicoNetherlands
In The Last Decade
Fernando Alarid‐Escudero
64 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 120
- Oncology 276
- Pulmonary and Respiratory Medicine 255
- Economics and Econometrics 249
- Epidemiology 150
- Obstetrics and Gynecology 145
Countries citing papers authored by Fernando Alarid‐Escudero
This map shows the geographic impact of Fernando Alarid‐Escudero'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 Fernando Alarid‐Escudero with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando Alarid‐Escudero more than expected).
Fields of papers citing papers by Fernando Alarid‐Escudero
This network shows the impact of papers produced by Fernando Alarid‐Escudero. 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 Fernando Alarid‐Escudero. The network helps show where Fernando Alarid‐Escudero may publish in the future.
Co-authorship network of co-authors of Fernando Alarid‐Escudero
This figure shows the co-authorship network connecting the top 25 collaborators of Fernando Alarid‐Escudero. A scholar is included among the top collaborators of Fernando Alarid‐Escudero based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fernando Alarid‐Escudero. Fernando Alarid‐Escudero is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 10 | |
| 7 | 6 | |
| 8 | 17 | |
| 9 | 2 | |
| 10 | 11 | |
| 11 | 9 | |
| 12 | 65 | |
| 13 | 8 | |
| 14 | 30 | |
| 15 | 33 | |
| 16 | 48 | |
| 17 | 32 | |
| 18 | 9 | |
| 19 | 1 | |
| 20 | CALIBRATION OF PIECEWISE MARKOV MODELS USING A BAYESIAN CHANGE-POINT ANALYSIS THROUGH AN ITERATIVE CONVEX OPTIMIZATION ALGORITHM | 1 |
About Fernando Alarid‐Escudero
Fernando Alarid‐Escudero is a scholar working on Statistics and Probability, Modeling and Simulation and Economics and Econometrics, having authored 75 papers that have together received 1.2k indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (18 papers), Colorectal Cancer Screening and Detection (11 papers) and Global Cancer Incidence and Screening (8 papers). The work is most often cited by research in Obstetrics and Gynecology (145 citations), Modeling and Simulation (80 citations) and Oncology (276 citations). Fernando Alarid‐Escudero has collaborated with scholars based in United States, Mexico and Netherlands. Frequent co-authors include Hawre Jalal, Eva A. Enns, Karen M. Kuntz, Eline Krijkamp, Petros Pechlivanoglou, Katy B. Kozhimannil, M. G. Myriam Hunink, Elizabeth A. Howell, Rachel R. Hardeman and Cori Blauer‐Peterson. Their work appears in journals such as Journal of Clinical Oncology, Gastroenterology and JNCI Journal of the National Cancer Institute.
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.