Chris Marriott

560 citations
14 papers · 279 indexed · h-index 5

Chris Marriott

9 papers receiving 262 citations

Peers

Chris Marriott
Comparison fields: 5 of 75
  • Pharmaceutical Science 52
  • Artificial Intelligence 118
  • Computational Theory and Mathematics 55
  • Dermatology 25
  • Atomic and Molecular Physics, and Optics 45
Replace Waqar Ali with:
Waqar Ali Pakistan
Kuikui Liu United States
M. Date United States
Matthew F. D. Hurley United States
Nikhil Krishnan United States
Xuefeng Cui China
Katharina Hartmann Germany
Oleksandr Narykov United States
Arup Mondal United States
Yujia Tian China
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Citations per field
00.5×10×14.8×
Waqar Ali · 1×
Citations per year

Countries citing papers authored by Chris Marriott

Since Specialization
Citations

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

Fields of papers citing papers by Chris Marriott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 20 scholars most cited alongside Chris Marriott, 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 Chris Marriott Line = papers co-authored together Chris Marriott links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 20240
2 20190
3 20184
4 20161
5 20160
6 20162
7 20151
8 20141
9 20140
10 20096
11 200542
12 2005105
13 200416
14 2001101

About Chris Marriott

Chris Marriott is a scholar working on Cultural Studies, Computer Science Applications, Pharmaceutical Science, Genetics and Sociology and Political Science, having authored 14 papers that have together received 279 indexed citations. Recurring topics across this work include Evolutionary Game Theory and Cooperation (6 papers), Language and cultural evolution (5 papers), Cryptography and Data Security (2 papers), Evolution and Genetic Dynamics (2 papers), Quantum Computing Algorithms and Architecture (2 papers), Energy Harvesting in Wireless Networks (1 paper), Virus-based gene therapy research (1 paper) and Advancements in Transdermal Drug Delivery (1 paper). The work is most often cited by research in Pharmaceutical Science (52 citations), Artificial Intelligence (118 citations), Computational Theory and Mathematics (55 citations), Dermatology (25 citations) and Atomic and Molecular Physics, and Optics (45 citations). Chris Marriott has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include John Watrous, DM Geddes, R Farley, Maurizio Scarpa, Brandon J. Wainwright, William H Colledge, MJ Evans, Stefano Ferrari, Rachel Steel and Eric W.F.W. Alton. Their work appears in journals such as Artificial Life, Computational Complexity, Gene Therapy, International Journal of Pharmaceutics and University of Washington Tacoma Digital Commons (University of Washington Tacoma).

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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