Reese Harvey

50 total papers · 3.0k total citations
38 papers, 1.5k citations indexed

About

Reese Harvey is a scholar working on Applied Mathematics, Geometry and Topology and Mathematical Physics. According to data from OpenAlex, Reese Harvey has authored 38 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Applied Mathematics, 22 papers in Geometry and Topology and 13 papers in Mathematical Physics. Recurrent topics in Reese Harvey's work include Geometric Analysis and Curvature Flows (11 papers), Geometry and complex manifolds (8 papers) and Holomorphic and Operator Theory (7 papers). Reese Harvey is often cited by papers focused on Geometric Analysis and Curvature Flows (11 papers), Geometry and complex manifolds (8 papers) and Holomorphic and Operator Theory (7 papers). Reese Harvey collaborates with scholars based in United States. Reese Harvey's co-authors include H. Blaine Lawson, John C. Polking, Bernard Shiffman, Jiri Dadok, Raymond O. Wells, J. Zweck, Frank Morgan, Benjamin Lawson, Robert L. Bryant and Hywel Morgan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Annals of Mathematics and Communications on Pure and Applied Mathematics.

In The Last Decade

Reese Harvey

36 papers receiving 1.2k citations

Hit Papers

Calibrated geometries 1982 2026 1996 2011 1982 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Reese Harvey 1.1k 996 386 248 173 38 1.5k
Paul Gauduchon 1.2k 1.0× 1.1k 1.1× 408 1.1× 397 1.6× 161 0.9× 35 1.5k
T. J. Willmore 855 0.7× 743 0.7× 264 0.7× 570 2.3× 138 0.8× 17 1.3k
Thomas Branson 1.3k 1.1× 580 0.6× 693 1.8× 358 1.4× 339 2.0× 74 1.7k
Rafe Mazzeo 1.6k 1.4× 818 0.8× 1.0k 2.7× 305 1.2× 254 1.5× 82 2.2k
Jerry L. Kazdan 1.5k 1.3× 540 0.5× 481 1.2× 301 1.2× 108 0.6× 28 1.7k
Shiu‐Yuen Cheng 1.9k 1.7× 1.4k 1.4× 338 0.9× 539 2.2× 62 0.4× 16 2.1k
Peter Petersen 1.4k 1.2× 1.1k 1.1× 290 0.8× 668 2.7× 83 0.5× 56 1.6k
Yiming Long 1.2k 1.0× 808 0.8× 460 1.2× 448 1.8× 87 0.5× 90 1.8k
Wu-Yi Hsiang 816 0.7× 827 0.8× 422 1.1× 274 1.1× 36 0.2× 69 1.3k
C. Robin Graham 965 0.8× 635 0.6× 322 0.8× 486 2.0× 492 2.8× 28 1.4k

Countries citing papers authored by Reese Harvey

Since Specialization
Citations

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

Fields of papers citing papers by Reese Harvey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Reese Harvey

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