Joe Sawada

1.4k citations
62 papers · 578 · h-index 14

Impact in

Papers in

Joe Sawada

57 papers receiving 527 citations

Peers

Joe Sawada
Comparison fields: 5 of 56
  • Discrete Mathematics and Combinatorics 170
  • Computational Theory and Mathematics 376
  • Artificial Intelligence 294
  • Computer Graphics and Computer-Aided Design 20
  • Geometry and Topology 44
Replace Stasys Jukna with:
Stasys Jukna Germany
Shachar Lovett United States
Zeev Dvir United States
Andreas Björklund Sweden
Vincent Vajnovszki France
R.P. Anstee Canada
Harold Fredricksen United States
Antonio Restivo Italy
Srečko Brlek Canada
Terry A. McKee United States
Joe Sawada relative to Stasys Jukna Germany Stasys Jukna's profile →
Citations per field
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Stasys Jukna · 1×
Citations per year

Countries citing papers authored by Joe Sawada

Since Specialization
Citations

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

Fields of papers citing papers by Joe Sawada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Joe Sawada, 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 Joe Sawada Line = papers co-authored together Joe Sawada links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200874
2 199951
3 200046
4 200126
5 201422
6 201521
7 200320
8 200320
9 201220
10 200320
11 201119
12 201218
13 200117
14 201816
15 201913
16 201812
17 201310
18 201210
19 20168
20 20088

About Joe Sawada

Joe Sawada is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Discrete Mathematics and Combinatorics, Electrical and Electronic Engineering and Molecular Biology, having authored 62 papers that have together received 578 indexed citations. Recurring topics across this work include Algorithms and Data Compression (39 papers), semigroups and automata theory (24 papers), Coding theory and cryptography (19 papers), Cellular Automata and Applications (11 papers), Advanced Combinatorial Mathematics (11 papers), Advanced Graph Theory Research (10 papers), graph theory and CDMA systems (9 papers) and Genome Rearrangement Algorithms (8 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (170 citations), Computational Theory and Mathematics (376 citations), Artificial Intelligence (294 citations), Computer Graphics and Computer-Aided Design (20 citations) and Geometry and Topology (44 citations). Joe Sawada has collaborated with scholars based in Canada, United States and South Korea. Frequent co-authors include Frank Ruskey, Aaron Williams, Chı́nh T. Hoàng, Marcin Kamiński, Vadim Lozin, C. Robert Miers, M. Serra, Kevin Cattell, L. Sunil Chandran and Yue Li. Their work appears in journals such as Theoretical Computer Science, Discrete Applied Mathematics, Discrete Mathematics, ACM Transactions on Algorithms and SIAM Journal on Discrete Mathematics.

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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