Michael Barlow

74 papers receiving 787 citations

Peers

Michael Barlow
Comparison fields: 5 of 109
  • Human-Computer Interaction 71
  • Cognitive Neuroscience 149
  • Artificial Intelligence 230
  • Social Psychology 126
  • Computational Theory and Mathematics 82
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Renwick E. Curry United States
Mobyen Uddin Ahmed Sweden
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Citations per year

Countries citing papers authored by Michael Barlow

Since Specialization
Citations

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

Fields of papers citing papers by Michael Barlow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michael Barlow, 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 Michael Barlow Line = papers co-authored together Michael Barlow links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019124
2 202058
3
Differences in change scores and the predictive validity of three commonly used measures following concussion in the middle school and high school aged population.
201146
4 200939
5 201538
6 201036
7 201832
8 200829
9 200926
10
A comparative study for domain ontology guided feature extraction
200325
11 201922
12 199318
13 200318
14 201118
15 200817
16 200217
17 202115
18 201815
19 201415
20 201814

About Michael Barlow

Michael Barlow is a scholar working on Human-Computer Interaction, Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Theory and Mathematics and General Economics, Econometrics and Finance, having authored 75 papers that have together received 823 indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (11 papers), Reinforcement Learning in Robotics (9 papers), Evolutionary Game Theory and Cooperation (9 papers), Artificial Intelligence in Games (8 papers), Metaheuristic Optimization Algorithms Research (7 papers), Air Traffic Management and Optimization (5 papers), EEG and Brain-Computer Interfaces (4 papers) and Opinion Dynamics and Social Influence (4 papers). The work is most often cited by research in Human-Computer Interaction (71 citations), Cognitive Neuroscience (149 citations), Artificial Intelligence (230 citations), Social Psychology (126 citations) and Computational Theory and Mathematics (82 citations). Michael Barlow has collaborated with scholars based in Australia, Japan and United States. Frequent co-authors include Hussein A. Abbass, Kathryn Kasmarik, Sameer Alam, Lam Thu Bui, Sreenatha G. Anavatti, Justin Fidock, Matthew Garratt, Essam Debie, Raul Fernandez Rojas and Axel Bender. Their work appears in journals such as IEEE Access, Swarm and Evolutionary Computation, International Journal of Intelligent Systems, IEEE Transactions on Intelligent Transportation Systems and Performance Evaluation.

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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