Peter J. Haug

159 papers and 3.9k indexed citations i.

About

Peter J. Haug is a scholar working on Health Information Management, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Peter J. Haug has authored 159 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Health Information Management, 57 papers in Artificial Intelligence and 48 papers in Molecular Biology. Recurrent topics in Peter J. Haug’s work include Electronic Health Records Systems (50 papers), Biomedical Text Mining and Ontologies (47 papers) and Machine Learning in Healthcare (20 papers). Peter J. Haug is often cited by papers focused on Electronic Health Records Systems (50 papers), Biomedical Text Mining and Ontologies (47 papers) and Machine Learning in Healthcare (20 papers). Peter J. Haug collaborates with scholars based in United States, Germany and United Kingdom. Peter J. Haug's co-authors include Dominik Aronsky, Stéphane M. Meystre, Wendy W. Chapman, R. Scott Evans, Marcelo Fiszman, Stanley M. Huff, Nathan C. Dean, Lisa Cannon‐Albright, Marc S. Williams and David P. Taylor and has published in prestigious journals such as Gastroenterology, PLoS ONE and Radiology.

In The Last Decade

Co-authorship network of co-authors of Peter J. Haug i

Fields of papers citing papers by Peter J. Haug

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter J. Haug. 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 Peter J. Haug. The network helps show where Peter J. Haug may publish in the future.

Countries citing papers authored by Peter J. Haug

Since Specialization
Citations

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