Alan Edelman

120 papers receiving 9.8k citations

Alan Edelman's Hit Papers

Julia: A Fresh Approach to Numerical Computing 2017 · 3.7k citations
3.7k0+12+25Years since publication10002.0k3.0k

Peers

Alan Edelman
Comparison fields: 5 of 212
  • Computational Mathematics 190
  • Statistics and Probability 1.3k
  • Discrete Mathematics and Combinatorics 411
  • Numerical Analysis 662
  • Hardware and Architecture 695
Replace Richard P. Brent with:
Richard P. Brent Australia
Andrea Montanari United States
Charles R. Johnson United States
Steve Smale United States
Lloyd N. Trefethen United Kingdom
Roger A. Horn United States
Arnold Neumaier Austria
Carl D. Meyer United States
J. H. Wilkinson United Kingdom
Nicholas J. Higham United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Alan Edelman

Since Specialization
Citations

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

Fields of papers citing papers by Alan Edelman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Alan Edelman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Alan Edelman Line = papers co-authored together Alan Edelman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 130 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Julia: A Fresh Approach to Numerical Computing
Hit paper breakdown →
20173686
2
The Geometry of Algorithms with Orthogonality Constraints
Hit paper breakdown →
19981870
3
Eigenvalues and Condition Numbers of Random Matrices
Hit paper breakdown →
1988859
4 2005322
5 2009276
6 1995212
7 2008194
8 1997137
9 1999136
10 1995133
11 2006133
12 1995128
13 1989119
14 2006109
15 199499
16 200599
17 199797
18 202181
19 202079
20 201177

About Alan Edelman

Alan Edelman is a scholar working on Computational Theory and Mathematics, Statistics and Probability, Computer Networks and Communications, Hardware and Architecture and Artificial Intelligence, having authored 130 papers that have together received 10.5k indexed citations. Recurring topics across this work include Random Matrices and Applications (29 papers), Parallel Computing and Optimization Techniques (25 papers), Matrix Theory and Algorithms (23 papers), Advanced Combinatorial Mathematics (16 papers), Advanced Algebra and Geometry (16 papers), Distributed and Parallel Computing Systems (16 papers), Advanced Optimization Algorithms Research (8 papers) and Stochastic processes and statistical mechanics (7 papers). The work is most often cited by research in Computational Mathematics (190 citations), Statistics and Probability (1.3k citations), Discrete Mathematics and Combinatorics (411 citations), Numerical Analysis (662 citations) and Hardware and Architecture (695 citations). Alan Edelman has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Viral B. Shah, Stefan Karpinski, Jeff Bezanson, Steven T. Smith, T. A. Arias, N. Raj Rao, Eric Kostlan, Hironori Murakami, Raj Rao Nadakuditi and Plamen Koev. Their work appears in journals such as SIAM Journal on Matrix Analysis and Applications, Mathematics of Computation, Linear Algebra and its Applications, Foundations of Computational Mathematics and Physical Review Letters.

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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