Paul Munro

768 total citations
38 papers, 371 citations indexed

About

Paul Munro is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Computer Vision and Pattern Recognition. According to data from OpenAlex, Paul Munro has authored 38 papers receiving a total of 371 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 13 papers in Cognitive Neuroscience and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Paul Munro's work include Neural Networks and Applications (14 papers), Neural dynamics and brain function (10 papers) and Cognitive Science and Education Research (3 papers). Paul Munro is often cited by papers focused on Neural Networks and Applications (14 papers), Neural dynamics and brain function (10 papers) and Cognitive Science and Education Research (3 papers). Paul Munro collaborates with scholars based in United States, United Kingdom and Chile. Paul Munro's co-authors include Bambang Parmanto, Howard R. Doyle, Garrison W. Cottrell, Stephen Judd, Bard Ermentrout, Yefei Peng, Jamie Ellis, Michael J. Becich, Luca Aldrighetti and John J. Fung and has published in prestigious journals such as Neurocomputing, Neural Networks and Biological Cybernetics.

In The Last Decade

Paul Munro

37 papers receiving 335 citations

Peers

Paul Munro
Comparison fields: 5 of 115
  • Artificial Intelligence 214
  • Computer Vision and Pattern Recognition 87
  • Cognitive Neuroscience 48
  • Signal Processing 35
  • Electrical and Electronic Engineering 30
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Jufu Feng China
Ehsan Lotfi Iran
Katsuhiko Mori Japan
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Andriana S. L. O. Campanharo Brazil
Xiaohui Xie United States
Weibei Dou China
Anil Kumar Sao India
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Citations per field, relative to Paul Munro
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Citations per year, relative to Paul Munro
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Countries citing papers authored by Paul Munro

Since Specialization
Citations

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

Fields of papers citing papers by Paul Munro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Munro

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 7
3 4
4 15
5
Ontology mapping neural network: an approach to learning and inferring correspondences among ontologies
1
6
Learning Mappings with Neural Network.
2
7
A Connectionist Implementation of Identical Elements
4
8
Automated feature extraction and content-based retrieval of pathology microscopic images using k-means clustering and code run-length probability distribution
5
9 4
10 24
11
Spatial and temporal factors in the acquisition of spatial information: a connectionist model
2
12
LTD Facilitates Learning in a Noisy Environment
3
13
Effects of Spatial and Temporal Contiguity on the Acquisition of Spatial Information
1
14
Improving Committee Diagnosis with Resampling Techniques
55
15 16
16
Emergence of Global Structure from Local Associations
3
17
Nets with Unreliable Hidden Nodes Learn Error-Correcting Codes
16
18
Repeat Until Bored: A Pattern Selection Strategy
20
19 9
20
State-dependent factors influencing neural plasticity: a partial account of the critical period
11

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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