Andrew Rau‐Chaplin

1.5k citations
89 papers · 740 · h-index 14

Impact in

Papers in

Andrew Rau‐Chaplin

82 papers receiving 684 citations

Peers

Andrew Rau‐Chaplin
Comparison fields: 5 of 78
  • Computer Graphics and Computer-Aided Design 89
  • Signal Processing 213
  • Computer Networks and Communications 420
  • Hardware and Architecture 76
  • Computational Theory and Mathematics 134
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Citations per field
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Citations per year

Countries citing papers authored by Andrew Rau‐Chaplin

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Rau‐Chaplin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew Rau‐Chaplin. 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 Andrew Rau‐Chaplin. The network helps show where Andrew Rau‐Chaplin may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199399
2 200350
3 200849
4 200433
5 200730
6 200628
7
Proceedings of the 4th International Workshop on Algorithms and Data Structures
199525
8 198823
9 200321
10 200720
11 201419
12 199019
13 199316
14 200216
15 200613
16 201212
17 200812
18 200712
19 200411
20 19929

About Andrew Rau‐Chaplin

Andrew Rau‐Chaplin is a scholar working on Computer Networks and Communications, Signal Processing, Artificial Intelligence, Information Systems and Computational Theory and Mathematics, having authored 89 papers that have together received 740 indexed citations. Recurring topics across this work include Data Management and Algorithms (32 papers), Advanced Database Systems and Queries (29 papers), Computational Geometry and Mesh Generation (12 papers), Advanced Data Storage Technologies (12 papers), Peer-to-Peer Network Technologies (11 papers), Data Mining Algorithms and Applications (11 papers), Distributed and Parallel Computing Systems (9 papers) and Parallel Computing and Optimization Techniques (9 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (89 citations), Signal Processing (213 citations), Computer Networks and Communications (420 citations), Hardware and Architecture (76 citations) and Computational Theory and Mathematics (134 citations). Andrew Rau‐Chaplin has collaborated with scholars based in Canada, France and Brazil. Frequent co-authors include Frank Dehne, Todd Eavis, Andreas Fabri, F. Dehne, Ying Chen, Glenn Hickey, Christian Blouin, James J. Cheetham, Ulrike Stege and Afonso Ferreira. Their work appears in journals such as Journal of Parallel and Distributed Computing, Distributed and Parallel Databases, International Journal of Data Warehousing and Mining, Algorithmica and Computational Geometry.

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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