Stephen M. Miller

159 total papers · 2.2k total citations
104 papers, 1.5k citations indexed

About

Stephen M. Miller is a scholar working on Finance, Economics and Econometrics and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Stephen M. Miller has authored 104 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Finance, 27 papers in Economics and Econometrics and 23 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Stephen M. Miller's work include Adaptive optics and wavefront sensing (23 papers), Banking stability, regulation, efficiency (22 papers) and Monetary Policy and Economic Impact (16 papers). Stephen M. Miller is often cited by papers focused on Adaptive optics and wavefront sensing (23 papers), Banking stability, regulation, efficiency (22 papers) and Monetary Policy and Economic Impact (16 papers). Stephen M. Miller collaborates with scholars based in United States, Italy and Australia. Stephen M. Miller's co-authors include James B. Rawlings, Walter R. Witkowski, Subhash C. Ray, Athanasios G. Noulas, George Katona, James R. Barth, James H. Burge, Hubert M. Martin, Anne E. Polivka and H. M. Martin and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Finance and The Plant Cell.

In The Last Decade

Stephen M. Miller

93 papers receiving 1.4k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Stephen M. Miller 476 391 260 224 201 104 1.5k
Xinyan Yan 432 0.9× 179 0.5× 157 0.6× 135 0.6× 55 0.3× 67 2.3k
Barton A. Smith 128 0.3× 707 1.8× 143 0.6× 76 0.3× 99 0.5× 67 2.3k
Chunfeng Wang 528 1.1× 274 0.7× 243 0.9× 222 1.0× 11 0.1× 90 2.1k
Paul M. Jones 792 1.7× 427 1.1× 101 0.4× 214 1.0× 385 1.9× 65 2.1k
Jim Freeman 146 0.3× 93 0.2× 121 0.5× 96 0.4× 280 1.4× 79 2.3k
Yue Zhang 506 1.1× 74 0.2× 90 0.3× 162 0.7× 66 0.3× 107 2.1k
Andreas Küchler 492 1.0× 93 0.2× 46 0.2× 290 1.3× 36 0.2× 68 1.7k
Jianing Zhang 142 0.3× 98 0.3× 145 0.6× 90 0.4× 37 0.2× 103 1.3k
Kun Soo Chang 56 0.1× 98 0.3× 79 0.3× 129 0.6× 68 0.3× 107 1.3k
John C. Butler 154 0.3× 145 0.4× 68 0.3× 273 1.2× 111 0.6× 124 2.1k

Countries citing papers authored by Stephen M. Miller

Since Specialization
Citations

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

Fields of papers citing papers by Stephen M. Miller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen M. Miller

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

All Works

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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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