Aaron Williams

1.0k citations
57 papers · 348 · h-index 11

Impact in

Papers in

Aaron Williams

48 papers receiving 328 citations

Peers

Aaron Williams
Comparison fields: 5 of 71
  • Discrete Mathematics and Combinatorics 42
  • Computational Theory and Mathematics 193
  • Artificial Intelligence 224
  • Computer Graphics and Computer-Aided Design 12
  • Genetics 54
Replace Jian-Hua Yin with:
Jian-Hua Yin China
Andrzej Kisielewicz Poland
Mario Gionfriddo Italy
Somnath Sikdar Germany
Gregory J. Puleo United States
S. V. Avgustinovich Russia
Daniel Johannsen Germany
Tao Feng China
F.E. Bennett Canada
Toshiki Saitoh Japan
Aaron Williams relative to Jian-Hua Yin China Jian-Hua Yin's profile →
Citations per field
00.5×10×12.6×
Jian-Hua Yin · 1×
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 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200829
2 201521
3 201220
4 201119
5 201218
6 201018
7 201117
8 201816
9 201913
10 201812
11 201311
12 201210
13 200910
14 20099
15 20228
16 20168
17
Generating balanced parentheses and binary trees by prefix shifts
20087
18 19817
19 20256
20 20166

About Aaron Williams

Aaron Williams is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Surgery, Molecular Biology and Genetics, having authored 57 papers that have together received 348 indexed citations. Recurring topics across this work include Algorithms and Data Compression (26 papers), semigroups and automata theory (16 papers), Coding theory and cryptography (15 papers), Transplantation: Methods and Outcomes (9 papers), Genome Rearrangement Algorithms (9 papers), graph theory and CDMA systems (7 papers), Cellular Automata and Applications (7 papers) and DNA and Biological Computing (6 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (42 citations), Computational Theory and Mathematics (193 citations), Artificial Intelligence (224 citations), Computer Graphics and Computer-Aided Design (12 citations) and Genetics (54 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, R. Epton, Erik D. Demaine, Jack E. Graver, Torsten Mütze, Giovanni Viglietta and John M. Trahanas. Their work appears in journals such as Discrete Mathematics, Algorithmica, Theoretical Computer Science, The Journal of Heart and Lung Transplantation and International Journal of Biological Macromolecules.

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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