James A. Reeds

42 papers receiving 7.3k citations

Hit Papers

Convergence Properties of the Nelder--Mead Simplex Met...198120261996201119981990198110002.0k3.0k4.0k5.0k

Peers

James A. Reeds
Comparison fields: 5 of 222
  • Computer Vision and Pattern Recognition 1.5k
  • Control and Systems Engineering 1.2k
  • Biomedical Engineering 1.1k
  • Electrical and Electronic Engineering 870
  • Aerospace Engineering 849
Replace Richard H. Byrd with:
Richard H. Byrd United States
C Moler United States
R. Mead United Kingdom
Richard Hanson United States
M. J. D. Powell United Kingdom
Margaret H. Wright United States
Thomas F. Coleman United States
Stephen J. Wright United Kingdom
Jeffrey C. Lagarias United States
Maxwell B. Stinchcombe United States
James A. Reeds relative to Richard H. Byrd United States Richard H. Byrd's profile →
Citations per field
00.5×1.5×
Richard H. Byrd · 1×
Citations per year

Countries citing papers authored by James A. Reeds

Since Specialization
Citations

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

Fields of papers citing papers by James A. Reeds

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James A. Reeds. 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 James A. Reeds. The network helps show where James A. Reeds may publish in the future.

Co-authorship network of co-authors of James A. Reeds

This figure shows the co-authorship network connecting the top 25 collaborators of James A. Reeds. A scholar is included among the top collaborators of James A. Reeds 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 James A. Reeds. James A. Reeds 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
#WorkIndexed citations
1 2
2 3
3 35
4
Optimal paths for a car that goes both forwards and backwardsbreakdown →
1010
5 10
6
Entropy calculations and particular methods of cryptanalysis
1
7 33
8 9
9 1
10
Indirect estimation of physiological distribution functions.
2
11 19
12 4
13 12
14 1
15 22
16 10
17 40
18 98
19 123
20 18

About James A. Reeds

James A. Reeds is a scholar working on Theoretical Computer Science, Computer Graphics and Computer-Aided Design and Statistics and Probability, having authored 43 papers that have together received 7.9k indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (4 papers), Point processes and geometric inequalities (3 papers) and Computational Geometry and Mesh Generation (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.5k citations), Control and Systems Engineering (1.2k citations) and Aerospace Engineering (849 citations). James A. Reeds has collaborated with scholars based in United States, Ireland and Japan. Frequent co-authors include Jeffrey C. Lagarias, Margaret H. Wright, Paul E. Wright, Lawrence A. Shepp, James P. Butler, Sierra Dawson, Ernest T. Klein, Harris Winitz, L. A. Shepp and M. D. McIlroy. Their work appears in journals such as IEEE Transactions on Information Theory, The Journal of the Acoustical Society of America and IEEE Transactions on Medical Imaging.

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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