Richard M. Crownover

1.2k citations
7 papers · 895 indexed · h-index 6
Topics
Image Retrieval and Classification Techniques (3 papers)Complex Systems and Time Series Analysis (2 papers)Mathematical Dynamics and Fractals (2 papers)
Partner nations
United States

In The Last Decade

Richard M. Crownover

7 papers receiving 800 citations

Peers

Richard M. Crownover
Comparison fields: 5 of 120
  • Computer Vision and Pattern Recognition 326
  • Economics and Econometrics 193
  • Artificial Intelligence 150
  • Mathematical Physics 128
  • Condensed Matter Physics 71
Replace Joseph Mecke with:
Joseph Mecke Germany
Stéphane G. Roux France
Ross Kindermann United States
Claude Tricot Canada
R. E. Miles Australia
P. Réfrégier France
Debashis Paul United States
Keith Briggs United Kingdom
D. Anderson Sweden
Mauro Piccioni Italy
Richard M. Crownover relative to Joseph Mecke Germany Joseph Mecke's profile →
Citations per field
00.5×2.6×
Joseph Mecke · 1×
Citations per year

Countries citing papers authored by Richard M. Crownover

Since Specialization
Citations

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

Fields of papers citing papers by Richard M. Crownover

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard M. Crownover

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

All Works

7 of 7 papers shown
#WorkIndexed citations
1
Introduction to fractals and chaos
186
2 125
3 2
4 19
5 412
6 124
7 27

About Richard M. Crownover

Richard M. Crownover is a scholar working on Mathematical Physics, Computer Graphics and Computer-Aided Design and Computer Vision and Pattern Recognition, having authored 7 papers that have together received 895 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (3 papers), Complex Systems and Time Series Analysis (2 papers) and Mathematical Dynamics and Fractals (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (326 citations), Mathematical Physics (128 citations) and Economics and Econometrics (193 citations). Richard M. Crownover has collaborated with scholars based in United States. Frequent co-authors include James M. Keller, Susan Chen and Susan S. Chen. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Artificial Intelligence and The Michigan Mathematical Journal.

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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