Christopher Wallace

528 citations
15 papers · 404 · h-index 7

Impact in

    • Bayesian Methods and Mixture Models
    • Machine Learning and Algorithms
    • Bayesian Modeling and Causal Inference
    • Algorithms and Data Compression

Papers in

Christopher Wallace

14 papers receiving 386 citations

Peers

Christopher Wallace
Comparison fields: 5 of 89
  • Artificial Intelligence 167
  • Neurology 30
  • Cognitive Neuroscience 73
  • Statistics and Probability 31
  • Computational Theory and Mathematics 61
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Citations per year

Countries citing papers authored by Christopher Wallace

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Wallace

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Christopher Wallace, 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 Christopher Wallace Line = papers co-authored together Christopher Wallace links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2005256
2 199765
3 200434
4 199813
5 20017
6
Control rod monitoring of advanced gas-cooled reactors
20107
7 20146
8 20124
9
Multi-Agent System For Nuclear Condition Monitoring
20113
10 20133
11
Experience, testing and future development of an ultrasonic inspection analysis defect decision support tool for CANDU reactors
20192
12 20202
13 20211
14
Synthetic aperture focusing technique for correction of poorly-focused ultrasonic pressure tube inspection data
20181
15
Predicting the ageing of advanced gas-cooled reactor (AGR) graphite bricks
20100

About Christopher Wallace

Christopher Wallace is a scholar working on Artificial Intelligence, Aerospace Engineering, Materials Chemistry, Cognitive Neuroscience and Safety, Risk, Reliability and Quality, having authored 15 papers that have together received 404 indexed citations. Recurring topics across this work include Nuclear reactor physics and engineering (4 papers), Transcranial Magnetic Stimulation Studies (3 papers), Motor Control and Adaptation (3 papers), Muscle activation and electromyography studies (3 papers), Nuclear and radioactivity studies (3 papers), Non-Destructive Testing Techniques (3 papers), Graphite, nuclear technology, radiation studies (3 papers) and Service-Oriented Architecture and Web Services (2 papers). The work is most often cited by research in Artificial Intelligence (167 citations), Neurology (30 citations), Cognitive Neuroscience (73 citations), Statistics and Probability (31 citations) and Computational Theory and Mathematics (61 citations). Christopher Wallace has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Michael A. Nordstrom, John G. Semmler, Timothy S. Miles, S.D.J. McArthur, Graeme West, Luanne M. Metz, J. Ross Mitchell, Xiaoli Wei, James N. Scott and Yuchen Zhang. Their work appears in journals such as Experimental Brain Research, IEEE Transactions on Nuclear Science, Nuclear Technology, Brain Research and Nuclear Engineering and Design.

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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