Alejandro Schuler

About

Alejandro Schuler is a scholar working on Statistics and Probability, Epidemiology and Artificial Intelligence. According to data from OpenAlex, Alejandro Schuler has authored 28 papers receiving a total of 711 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Statistics and Probability, 8 papers in Epidemiology and 7 papers in Artificial Intelligence. Recurrent topics in Alejandro Schuler’s work include Advanced Causal Inference Techniques (9 papers), Emergency and Acute Care Studies (6 papers) and Sepsis Diagnosis and Treatment (6 papers). Alejandro Schuler is often cited by papers focused on Advanced Causal Inference Techniques (9 papers), Emergency and Acute Care Studies (6 papers) and Sepsis Diagnosis and Treatment (6 papers). Alejandro Schuler collaborates with scholars based in United States, United Kingdom and Australia. Alejandro Schuler's co-authors include Nigam H. Shah, Gabriel J. Escobar, Kenneth Jung, Jean–Louis Vincent, Patricia Kipnis, J Greene, Brian L. Lawson, Vincent X. Liu, Alison Callahan and Theodore J. Iwashyna and has published in prestigious journals such as New England Journal of Medicine, American Journal of Obstetrics and Gynecology and Critical Care Medicine.

In The Last Decade

Co-authorship network of co-authors of Alejandro Schuler i

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Fields of papers citing papers by Alejandro Schuler

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Alejandro Schuler

Since Specialization

Citations

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

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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