Daniel Miller

15 papers and 692 indexed citations i.

About

Daniel Miller is a scholar working on Surgery, Artificial Intelligence and Information Systems. According to data from OpenAlex, Daniel Miller has authored 15 papers receiving a total of 692 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Surgery, 3 papers in Artificial Intelligence and 3 papers in Information Systems. Recurrent topics in Daniel Miller’s work include Non-Invasive Vital Sign Monitoring (2 papers), Cardiac, Anesthesia and Surgical Outcomes (2 papers) and Text and Document Classification Technologies (1 paper). Daniel Miller is often cited by papers focused on Non-Invasive Vital Sign Monitoring (2 papers), Cardiac, Anesthesia and Surgical Outcomes (2 papers) and Text and Document Classification Technologies (1 paper). Daniel Miller collaborates with scholars based in United States, China and Japan. Daniel Miller's co-authors include Steven M. Seitz, Ira Kemelmacher-Shlizerman, Yaakov HaCohen‐Kerner, Nicholas Bambos, Dean M. Toriumi, Lauren D. Holinger, Zhengyuan Zhou, David Scheinker, Peter W. Glynn and Neal Master and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Automatic Control and Anesthesia & Analgesia.

In The Last Decade

Co-authorship network of co-authors of Daniel Miller i

Fields of papers citing papers by Daniel Miller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel Miller

Since Specialization
Citations

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