Peter Speltz

11 papers and 369 indexed citations i.

About

Peter Speltz is a scholar working on Molecular Biology, Artificial Intelligence and Information Systems and Management. According to data from OpenAlex, Peter Speltz has authored 11 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Artificial Intelligence and 4 papers in Information Systems and Management. Recurrent topics in Peter Speltz’s work include Biomedical Text Mining and Ontologies (8 papers), Scientific Computing and Data Management (4 papers) and Machine Learning in Healthcare (3 papers). Peter Speltz is often cited by papers focused on Biomedical Text Mining and Ontologies (8 papers), Scientific Computing and Data Management (4 papers) and Machine Learning in Healthcare (3 papers). Peter Speltz collaborates with scholars based in United States. Peter Speltz's co-authors include Joshua C. Denny, Jennifer A. Pacheco, Jyotishman Pathak, Luke V. Rasmussen, Dan M. Roden, Melissa Basford, Paul A. Harris, Jacqueline Kirby, Gerard Tromp and David Carrell and has published in prestigious journals such as Journal of the American Medical Informatics Association, Journal of Biomedical Informatics and Pharmacogenomics.

In The Last Decade

Co-authorship network of co-authors of Peter Speltz i

Fields of papers citing papers by Peter Speltz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Peter Speltz

Since Specialization
Citations

This map shows the geographic impact of Peter Speltz'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 Speltz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Speltz 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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2025