Dan Riesel

9 total papers · 408 total citations
4 papers, 98 citations indexed

About

Dan Riesel is a scholar working on Epidemiology, Infectious Diseases and Endocrine and Autonomic Systems. According to data from OpenAlex, Dan Riesel has authored 4 papers receiving a total of 98 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Epidemiology, 1 paper in Infectious Diseases and 1 paper in Endocrine and Autonomic Systems. Recurrent topics in Dan Riesel’s work include Respiratory viral infections research (2 papers), Influenza Virus Research Studies (2 papers) and Machine Learning in Healthcare (1 paper). Dan Riesel is often cited by papers focused on Respiratory viral infections research (2 papers), Influenza Virus Research Studies (2 papers) and Machine Learning in Healthcare (1 paper). Dan Riesel collaborates with scholars based in Israel, United States and Australia. Dan Riesel's co-authors include Guy N. Rothblum, Uri Shalit, Joseph Levy, Noa Dagan, Gal Yona, Noam Barda, Ran D. Balicer, Jonathan Somer, Doron Netzer and Eitan Bachmat and has published in prestigious journals such as Nature Communications, Clinical Infectious Diseases and The Journal of Infectious Diseases.

Co-authorship network of co-authors of Dan Riesel

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

Dan Riesel

3 papers receiving 93 citations

Fields of papers citing papers by Dan Riesel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dan Riesel

Since Specialization
Citations

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