Mike Gibson

476 citations
6 papers · 362 indexed · h-index 4
Topics
Cellular Automata and Applications (3 papers)Scoliosis diagnosis and treatment (2 papers)Spinal Fractures and Fixation Techniques (2 papers)
Partner nations
United Kingdom

In The Last Decade

Mike Gibson

5 papers receiving 351 citations

Peers

Mike Gibson
Comparison fields: 5 of 60
  • Molecular Biology 170
  • Surgery 138
  • Genetics 64
  • Biomedical Engineering 59
  • Cardiology and Cardiovascular Medicine 55
Replace Acary Bulle Oliveira with:
Acary Bulle Oliveira Brazil
Huaide Qiu China
Reid Hoshide United States
Jo Ann Moore United States
L. Wahlgren Sweden
Y. Khan United Kingdom
M. Wohlgemuth Netherlands
Sjoerd W. van Thiel Netherlands
Junqing Xu China
Francesca Gragnani Italy
Mike Gibson relative to Acary Bulle Oliveira Brazil Acary Bulle Oliveira's profile →
Citations per field
00.5×
Acary Bulle Oliveira · 1×
Citations per year

Countries citing papers authored by Mike Gibson

Since Specialization
Citations

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

Fields of papers citing papers by Mike Gibson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mike Gibson

This figure shows the co-authorship network connecting the top 25 collaborators of Mike Gibson. A scholar is included among the top collaborators of Mike Gibson 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 Mike Gibson. Mike Gibson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

6 of 6 papers shown
#WorkIndexed citations
1 2
2
Genetic programming for cellular automata urban inundation modelling
0
3 3
4
CADDIES: a new framework for rapid development of parallel cellular automata algorithms for flood simulation
12
5 101
6 244

About Mike Gibson

Mike Gibson is a scholar working on Computational Theory and Mathematics, Hardware and Architecture and Pathology and Forensic Medicine, having authored 6 papers that have together received 362 indexed citations. Recurring topics across this work include Cellular Automata and Applications (3 papers), Scoliosis diagnosis and treatment (2 papers) and Spinal Fractures and Fixation Techniques (2 papers). The work is most often cited by research in Genetics (64 citations), Surgery (138 citations) and Pathology and Forensic Medicine (49 citations). Mike Gibson has collaborated with scholars based in United Kingdom. Frequent co-authors include Gerald M. Y. Quan, Jwalant Mehta, John Bourke, Michelle Eagle, Volker Straub, Kate Bushby, R. Bullock, Dragan Savić, Michele Guidolin and Edward Keedwell. Their work appears in journals such as Spine, The Spine Journal and Neuromuscular Disorders.

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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