David Paúl

1.6k citations
84 papers · 1.0k · h-index 17

Impact in

Papers in

    • Indigenous Health, Education, and Rights 17
    • Metaheuristic Optimization Algorithms Research 5
    • Evolutionary Algorithms and Applications 4

David Paúl

74 papers receiving 926 citations

Peers

David Paúl
Comparison fields: 5 of 132
  • Health 153
  • Emergency Medical Services 85
  • Artificial Intelligence 181
  • Computational Theory and Mathematics 70
  • Industrial and Manufacturing Engineering 44
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Citations per field
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Citations per year

Countries citing papers authored by David Paúl

Since Specialization
Citations

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

Fields of papers citing papers by David Paúl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201892
2
Teaching English to Children in Asia
200390
3 202264
4 201460
5 200657
6 202256
7 202147
8 201542
9 202242
10 201234
11 201833
12
A Comparison Study of Cooperative Q-learning Algorithms for Independent Learners
201628
13 201224
14 198624
15 202021
16 201420
17 201817
18 200716
19 201115
20 200714

About David Paúl

David Paúl is a scholar working on Health, Artificial Intelligence, Sociology and Political Science, Information Systems and Emergency Medical Services, having authored 84 papers that have together received 1.0k indexed citations. Recurring topics across this work include Indigenous Health, Education, and Rights (17 papers), Cultural Competency in Health Care (8 papers), Global Health Workforce Issues (7 papers), Metaheuristic Optimization Algorithms Research (5 papers), Digital Transformation in Industry (4 papers), Evolutionary Algorithms and Applications (4 papers), Advanced Multi-Objective Optimization Algorithms (4 papers) and Service-Oriented Architecture and Web Services (3 papers). The work is most often cited by research in Health (153 citations), Emergency Medical Services (85 citations), Artificial Intelligence (181 citations), Computational Theory and Mathematics (70 citations) and Industrial and Manufacturing Engineering (44 citations). David Paúl has collaborated with scholars based in Australia, United States and Jordan. Frequent co-authors include Bilal H. Abed-alguni, Shaun Ewen, Frans Henskens, Rhys Jones, Sandra Carr, Helen Milroy, Stephan K. Chalup, Noor Aldeen Alawad, Mohammed Azmi Al‐Betar and Mark Wallis. Their work appears in journals such as Applied Intelligence, Medical Education, The Medical Journal of Australia, Journal of Knowledge Management and Rural and Remote Health.

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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