Patrick Delaney

18 papers receiving 641 citations

Peers

Patrick Delaney
Comparison fields: 5 of 134
  • Water Science and Technology 151
  • Virology 44
  • Global and Planetary Change 166
  • Biological Psychiatry 15
  • Anesthesiology and Pain Medicine 33
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Cheng-Chun Lee Taiwan
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Zhenyu Guo China
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Citations per year

Countries citing papers authored by Patrick Delaney

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Delaney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011156
2 2002153
3 201170
4 201868
5 200866
6 201050
7 202136
8 201336
9 20238
10 20228
11
A STRUCTURATIONIST REVIEW OF KNOWLEDGE MANAGEMENT THEORIES
20057
12 20237
13
A Marxian Model of Technology Appropriation
20084
14 20042
15 20031
16 20241
17
Vlogging campus community stories
20121
18 20151
19 20211
20
Developing a Model of Technology Appropriation: A Marxian Perspective
20080

About Patrick Delaney

Patrick Delaney is a scholar working on Social Psychology, Sociology and Political Science, Artificial Intelligence, Computer Science Applications and Global and Planetary Change, having authored 21 papers that have together received 676 indexed citations. Recurring topics across this work include Mental Health via Writing (3 papers), Online Learning and Analytics (2 papers), Sentiment Analysis and Opinion Mining (2 papers), Modeling, Simulation, and Optimization (2 papers), Hydrology and Watershed Management Studies (2 papers), Innovative Approaches in Technology and Social Development (2 papers), Information Systems Theories and Implementation (2 papers) and Simulation Techniques and Applications (2 papers). The work is most often cited by research in Water Science and Technology (151 citations), Virology (44 citations), Global and Planetary Change (166 citations), Biological Psychiatry (15 citations) and Anesthesiology and Pain Medicine (33 citations). Patrick Delaney has collaborated with scholars based in Australia, United States and Canada. Frequent co-authors include Michael Grundman, Danielle J. Marceau, Anil Gupta, Caterina Valeo, Terry Alexander, Jennifer Marquie‐Beck, Ronald J. Ellis, A.E.J. Wals, Xiaohui Tao and Jan Adamowski. Their work appears in journals such as Journal of the Association for Information Systems, Proceedings of The Nutrition Society, Journal of Hydrology, Brain Informatics and IEEE Access.

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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