Aaron Williams

1.1k citations
80 papers · 623 · h-index 15

Impact in

Papers in

Aaron Williams

71 papers receiving 587 citations

Peers

Aaron Williams
Comparison fields: 5 of 78
  • Discrete Mathematics and Combinatorics 77
  • Computational Theory and Mathematics 330
  • Artificial Intelligence 419
  • Genetics 126
  • Computer Graphics and Computer-Aided Design 15
Replace Yanxun Chang with:
Yanxun Chang China
Fabien de Montgolfier France
Meirav Zehavi Israel
Mathias Weller France
Michael Dom Germany
Matthias Mnich Germany
Andrzej Szepietowski Poland
Alexandru I. Tomescu Finland
Johan Wästlund Sweden
Jian-Hua Yin China
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Citations per field
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Citations per year

Countries citing papers authored by Aaron Williams

Since Specialization
Citations

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

Fields of papers citing papers by Aaron Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Aaron Williams, 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 Aaron Williams Line = papers co-authored together Aaron Williams links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200840
2 201134
3 201328
4 201226
5 201525
6 201024
7 201124
8 201222
9 200919
10 201818
11 201218
12 200917
13 201916
14 201314
15 201814
16 202213
17 201913
18 201312
19 202511
20 201611

About Aaron Williams

Aaron Williams is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Molecular Biology, Genetics and Electrical and Electronic Engineering, having authored 80 papers that have together received 623 indexed citations. Recurring topics across this work include Algorithms and Data Compression (42 papers), semigroups and automata theory (22 papers), Coding theory and cryptography (18 papers), Genome Rearrangement Algorithms (17 papers), DNA and Biological Computing (15 papers), graph theory and CDMA systems (14 papers), Cellular Automata and Applications (9 papers) and Transplantation: Methods and Outcomes (9 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (77 citations), Computational Theory and Mathematics (330 citations), Artificial Intelligence (419 citations), Genetics (126 citations) and Computer Graphics and Computer-Aided Design (15 citations). Aaron Williams has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Joe Sawada, Frank Ruskey, Brett Stevens, Alexander E. Holroyd, Torsten Mütze, R. Epton, Jack E. Graver, Erik D. Demaine, Bertrand Guenin and Giovanni Viglietta. Their work appears in journals such as Discrete Mathematics, The Journal of Heart and Lung Transplantation, Algorithmica, Theoretical Computer Science and Lecture notes in computer science.

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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