Michael Geracie

15 total papers · 452 total citations
10 papers, 197 citations indexed

About

Michael Geracie is a scholar working on Atomic and Molecular Physics, and Optics, Condensed Matter Physics and Nuclear and High Energy Physics. According to data from OpenAlex, Michael Geracie has authored 10 papers receiving a total of 197 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Atomic and Molecular Physics, and Optics, 5 papers in Condensed Matter Physics and 3 papers in Nuclear and High Energy Physics. Recurrent topics in Michael Geracie's work include Physics of Superconductivity and Magnetism (5 papers), Quantum and electron transport phenomena (4 papers) and Black Holes and Theoretical Physics (3 papers). Michael Geracie is often cited by papers focused on Physics of Superconductivity and Magnetism (5 papers), Quantum and electron transport phenomena (4 papers) and Black Holes and Theoretical Physics (3 papers). Michael Geracie collaborates with scholars based in United States, India and Canada. Michael Geracie's co-authors include D. Son, Shao-Feng Wu, Matthew M. Roberts, D. F. Agterberg, Kartik Prabhu, Hirokazu Tsunetsugu, Prithvi Narayan, R. Loganayagam, Felix M. Haehl and Mukund Rangamani and has published in prestigious journals such as Physical Review B, Journal of High Energy Physics and Physical review. B..

In The Last Decade

Michael Geracie

10 papers receiving 194 citations

Author Peers

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

Author Last Decade Papers Cites
Michael Geracie 118 101 87 54 48 10 197
Napat Poovuttikul 161 1.4× 139 1.4× 83 1.0× 37 0.7× 26 0.5× 10 211
Y. Takahashi 180 1.5× 54 0.5× 67 0.8× 49 0.9× 27 0.6× 9 247
Kannan Jagannathan 48 0.4× 50 0.5× 80 0.9× 25 0.5× 21 0.4× 9 185
Amadeo Jiménez-Alba 238 2.0× 167 1.7× 115 1.3× 33 0.6× 29 0.6× 9 280
Konstantinos Roumpedakis 160 1.4× 56 0.6× 75 0.9× 86 1.6× 56 1.2× 12 264
G. Förster 90 0.8× 112 1.1× 53 0.6× 9 0.2× 64 1.3× 11 184
S. Paul 148 1.3× 48 0.5× 130 1.5× 90 1.7× 76 1.6× 8 253
Anton de la Fuente 224 1.9× 186 1.8× 27 0.3× 101 1.9× 12 0.3× 6 277
Ville Keränen 244 2.1× 223 2.2× 101 1.2× 68 1.3× 15 0.3× 14 276
Lev Spodyneiko 51 0.4× 21 0.2× 97 1.1× 46 0.9× 40 0.8× 12 152

Countries citing papers authored by Michael Geracie

Since Specialization
Citations

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

Fields of papers citing papers by Michael Geracie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Geracie

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Geracie. A scholar is included among the top collaborators of Michael Geracie 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 Michael Geracie. Michael Geracie 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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