Richard J. Gardner

7.2k total citations · 2 hit papers
114 papers, 3.2k citations indexed

About

Richard J. Gardner is a scholar working on Applied Mathematics, Geometry and Topology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Richard J. Gardner has authored 114 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Applied Mathematics, 31 papers in Geometry and Topology and 21 papers in Computer Vision and Pattern Recognition. Recurrent topics in Richard J. Gardner's work include Point processes and geometric inequalities (45 papers), Digital Image Processing Techniques (17 papers) and Mathematics and Applications (15 papers). Richard J. Gardner is often cited by papers focused on Point processes and geometric inequalities (45 papers), Digital Image Processing Techniques (17 papers) and Mathematics and Applications (15 papers). Richard J. Gardner collaborates with scholars based in United States, Italy and United Kingdom. Richard J. Gardner's co-authors include Daniel Hug, Wolfgang Weil, Peter Gritzmann, Thomas Schlumprecht, Alexander Koldobsky, Barry J. Everitt, Jonathan Lee, Victoria Butler, Edvard I Moser and May‐Britt Moser and has published in prestigious journals such as Nature, Neuron and Journal of Neuroscience.

In The Last Decade

Richard J. Gardner

107 papers receiving 2.9k citations

Hit Papers

The Brunn-Minkowski inequality 2002 2026 2010 2018 2002 2022 100 200 300 400

Peers

Richard J. Gardner
Comparison fields: 5 of 157
  • Applied Mathematics 1.8k
  • Geometry and Topology 690
  • Cognitive Neuroscience 517
  • Cellular and Molecular Neuroscience 467
  • Molecular Biology 369
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Citations per field, relative to Richard J. Gardner
Richard J. Gardner · 1×
Citations per year, relative to Richard J. Gardner
Richard J. Gardner · 1×

Countries citing papers authored by Richard J. Gardner

Since Specialization
Citations

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

Fields of papers citing papers by Richard J. Gardner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard J. Gardner. 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 Richard J. Gardner. The network helps show where Richard J. Gardner may publish in the future.

Co-authorship network of co-authors of Richard J. Gardner

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 5
2 4
3 6
4 5
5 20
6 57
7 17
8 6
9 18
10 40
11 3
12 12
13 166
14 36
15 19
16 14
17 6
18 98
19 31
20 3

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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