Philip T. Reiss

75 papers and 4.3k indexed citations i.

About

Philip T. Reiss is a scholar working on Cognitive Neuroscience, Statistics and Probability and Urology. According to data from OpenAlex, Philip T. Reiss has authored 75 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Cognitive Neuroscience, 24 papers in Statistics and Probability and 14 papers in Urology. Recurrent topics in Philip T. Reiss’s work include Functional Brain Connectivity Studies (19 papers), Statistical Methods and Inference (18 papers) and Urological Disorders and Treatments (12 papers). Philip T. Reiss is often cited by papers focused on Functional Brain Connectivity Studies (19 papers), Statistical Methods and Inference (18 papers) and Urological Disorders and Treatments (12 papers). Philip T. Reiss collaborates with scholars based in United States, Germany and Israel. Philip T. Reiss's co-authors include R. Todd Ogden, F. Xavier Castellanos, Clare Kelly, Zarrar Shehzad, Michael P. Milham, Lucina Q. Uddin, Dylan G. Gee, Daniel S. Margulies, Adriana Di Martino and Eva Petkova and has published in prestigious journals such as Journal of Neuroscience, Journal of the American Statistical Association and NeuroImage.

In The Last Decade

Co-authorship network of co-authors of Philip T. Reiss i

Fields of papers citing papers by Philip T. Reiss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philip T. Reiss. 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 Philip T. Reiss. The network helps show where Philip T. Reiss may publish in the future.

Countries citing papers authored by Philip T. Reiss

Since Specialization
Citations

This map shows the geographic impact of Philip T. Reiss'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 Philip T. Reiss with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip T. Reiss 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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