Alan Gibbons

1.9k citations
33 papers · 1.1k · 1 hit paper · h-index 9

Impact in

Papers in

Alan Gibbons

31 papers receiving 1.0k citations

Alan Gibbons's Hit Papers

Algorithmic graph theory 1985 · 543 citations
5430+13+27Years since publication100200300400500

Peers

Alan Gibbons
Comparison fields: 5 of 104
  • Hardware and Architecture 255
  • Computer Networks and Communications 346
  • Computational Theory and Mathematics 240
  • Computer Graphics and Computer-Aided Design 35
  • Software 38
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Citations per year

Countries citing papers authored by Alan Gibbons

Since Specialization
Citations

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

Fields of papers citing papers by Alan Gibbons

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Algorithmic graph theory
Hit paper breakdown →
1985543
2 2007305
3 200283
4
DNA Simulation of Boolean Circuits
199841
5
Lectures on parallel computation
199336
6 198923
7 199917
8 198611
9
The Complexity and Viability of DNA Computations
19978
10 19977
11 19887
12 20045
13 20035
14 19915
15 19905
16 20015
17 20054
18 19963
19
PRAM models and fundamental parallel algorithmic techniques. Part I
19932
20 20002

About Alan Gibbons

Alan Gibbons is a scholar working on Computational Theory and Mathematics, Computer Networks and Communications, Electrical and Electronic Engineering, Molecular Biology and Artificial Intelligence, having authored 33 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Graph Theory Research (9 papers), Complexity and Algorithms in Graphs (6 papers), DNA and Biological Computing (5 papers), Interconnection Networks and Systems (5 papers), Advanced biosensing and bioanalysis techniques (4 papers), Graph Labeling and Dimension Problems (4 papers), Algorithms and Data Compression (4 papers) and VLSI and FPGA Design Techniques (3 papers). The work is most often cited by research in Hardware and Architecture (255 citations), Computer Networks and Communications (346 citations), Computational Theory and Mathematics (240 citations), Computer Graphics and Computer-Aided Design (35 citations) and Software (38 citations). Alan Gibbons has collaborated with scholars based in United Kingdom, Poland and Chile. Frequent co-authors include David Flynn, Michael Keating, Rob Aitken, Kaijian Shi, Wojciech Rytter, Paul G. Spirakis, Martyn Amos, Paul E. Dunne, Andrzej Pelc and Bogdan S. Chlebus. Their work appears in journals such as Theoretical Computer Science, Complexity, International Journal of Circuit Theory and Applications, Distributed Computing and The Computer Journal.

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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