Samuel Bayliss

453 total citations
18 papers, 288 citations indexed

About

Samuel Bayliss is a scholar working on Hardware and Architecture, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Samuel Bayliss has authored 18 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Hardware and Architecture, 10 papers in Computer Networks and Communications and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Samuel Bayliss's work include Parallel Computing and Optimization Techniques (15 papers), Embedded Systems Design Techniques (14 papers) and Interconnection Networks and Systems (9 papers). Samuel Bayliss is often cited by papers focused on Parallel Computing and Optimization Techniques (15 papers), Embedded Systems Design Techniques (14 papers) and Interconnection Networks and Systems (9 papers). Samuel Bayliss collaborates with scholars based in United Kingdom, Germany and United States. Samuel Bayliss's co-authors include George A. Constantinides, Junyi Liu, John Wickerson, Wayne Luk, George M. Constantinides, Christos-Savvas Bouganis, Kermin Fleming, Nachiket Kapre, Xitong Gao and David Boland and has published in prestigious journals such as IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, IEEE Circuits and Systems Magazine and Microprocessors and Microsystems.

In The Last Decade

Samuel Bayliss

18 papers receiving 284 citations

Peers

Samuel Bayliss
Comparison fields: 5 of 42
  • Hardware and Architecture 210
  • Computer Networks and Communications 129
  • Electrical and Electronic Engineering 76
  • Artificial Intelligence 47
  • Computational Theory and Mathematics 26
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Citations per field, relative to Samuel Bayliss
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Citations per year, relative to Samuel Bayliss
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Countries citing papers authored by Samuel Bayliss

Since Specialization
Citations

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

Fields of papers citing papers by Samuel Bayliss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samuel Bayliss

This figure shows the co-authorship network connecting the top 25 collaborators of Samuel Bayliss. A scholar is included among the top collaborators of Samuel Bayliss based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Samuel Bayliss. Samuel Bayliss is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
# Work Indexed citations
1 2
2 19
3 4
4 7
5 26
6 8
7 19
8 2
9 13
10 7
11 5
12 76
13 9
14 38
15 15
16 2
17 15
18 21

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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