Boris Pfahringer

593 total citations
4 papers, 337 citations indexed

About

Boris Pfahringer is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology and Artificial Intelligence. According to data from OpenAlex, Boris Pfahringer has authored 4 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Cardiology and Cardiovascular Medicine, 2 papers in Epidemiology and 2 papers in Artificial Intelligence. Recurrent topics in Boris Pfahringer's work include Cardiac, Anesthesia and Surgical Outcomes (2 papers), Cardiac Arrest and Resuscitation (2 papers) and Machine Learning in Healthcare (2 papers). Boris Pfahringer is often cited by papers focused on Cardiac, Anesthesia and Surgical Outcomes (2 papers), Cardiac Arrest and Resuscitation (2 papers) and Machine Learning in Healthcare (2 papers). Boris Pfahringer collaborates with scholars based in Germany, Switzerland and United States. Boris Pfahringer's co-authors include Alexander Meyer, Volkmar Falk, Carsten Eickhoff, Christof Stamm, Jörg Kempfert, Thomas Hofmann, Simon Sündermann, Titus Küehne, Felix Schoenrath and Titus Kühne and has published in prestigious journals such as Journal of the American College of Cardiology, The Lancet Respiratory Medicine and npj Digital Medicine.

In The Last Decade

Boris Pfahringer

4 papers receiving 332 citations

Peers

Boris Pfahringer

AI

EPIDE

CCM

NEPHR

SURGE

Hans‐Christian Thorsen‐Meyer Denmark

Julian S. Haimovich United States

Charlotte Zwager Netherlands

Piotr Jaroslaw Chmura Denmark

Fawad Qureshi United States

Nianzong Hou China

Pattharawin Pattharanitima Thailand

Hamid Mohamadlou United States

Emily Gilbert United States

Hans‐Christian Thorsen‐Meyer Denmark

Boris Pfahringer

153 ×1.3

AI

142 ×1.4

EPIDE

45 ×0.6

CCM

17 ×0.3

NEPHR

53 ×0.8

SURGE

Citations per year, relative to Boris Pfahringer Boris Pfahringer (= 1×) peers Hans‐Christian Thorsen‐Meyer

Countries citing papers authored by Boris Pfahringer

Since Specialization

Citations

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

Fields of papers citing papers by Boris Pfahringer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Boris Pfahringer

This figure shows the co-authorship network connecting the top 25 collaborators of Boris Pfahringer. A scholar is included among the top collaborators of Boris Pfahringer 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 Boris Pfahringer. Boris Pfahringer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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4 of 4 papers shown

1.

Hommel, Matthias, Boris Pfahringer, Felix Balzer, et al.. (2023). Systematic Assessment of Shock Severity in Postoperative Cardiac Surgery Patients. Journal of the American College of Cardiology. 82(17). 1691–1706. 7 indexed citations

2.

Pfahringer, Boris, Jörg Kempfert, Christof Stamm, et al.. (2020). Deep-learning-based real-time prediction of acute kidney injury outperforms human predictive performance. npj Digital Medicine. 3(1). 139–139. 88 indexed citations

3.

Pfahringer, Boris, et al.. (2020). Using interpretability approaches to update “black-box” clinical prediction models: an external validation study in nephrology. Artificial Intelligence in Medicine. 111. 101982–101982. 17 indexed citations

4.

Meyer, Alexander, Boris Pfahringer, Jörg Kempfert, et al.. (2018). Machine learning for real-time prediction of complications in critical care: a retrospective study. The Lancet Respiratory Medicine. 6(12). 905–914. 225 indexed citations

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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