Jonathan Ling

190 papers receiving 3.7k citations

Peers

Jonathan Ling
Comparison fields: 5 of 188
  • Toxicology 465
  • Human-Computer Interaction 337
  • Health Informatics 79
  • Experimental and Cognitive Psychology 544
  • Health 307
Replace Timothy F. Chen with:
Timothy F. Chen Australia
Lisa A. Marsch United States
Brian A. Primack United States
Peter Knapp United Kingdom
Leanne Hides Australia
Bernice S. Elger Switzerland
Harvey A. Skinner Canada
Shabbir Syed-Abdul Taiwan
David J. Kavanagh Australia
Daniel Morrow United States
Jonathan Ling relative to Timothy F. Chen Australia Timothy F. Chen's profile →
Citations per field
00.5×9.9×
Timothy F. Chen · 1×
Citations per year

Countries citing papers authored by Jonathan Ling

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Ling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 201 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005214
2 2008136
3 2002123
4 2004122
5 2008116
6 2023105
7 200297
8 200196
9 200182
10 202179
11 200576
12 200571
13 201769
14 200367
15 200865
16 201060
17 202458
18 202257
19 201455
20 200654

About Jonathan Ling

Jonathan Ling is a scholar working on General Health Professions, Experimental and Cognitive Psychology, Epidemiology, Public Health, Environmental and Occupational Health and Psychiatry and Mental health, having authored 201 papers that have together received 3.8k indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (15 papers), Cognitive Functions and Memory (14 papers), Substance Abuse Treatment and Outcomes (12 papers), Attention Deficit Hyperactivity Disorder (11 papers), Technology Adoption and User Behaviour (11 papers), Innovative Human-Technology Interaction (10 papers), Forensic Toxicology and Drug Analysis (9 papers) and SARS-CoV-2 and COVID-19 Research (9 papers). The work is most often cited by research in Toxicology (465 citations), Human-Computer Interaction (337 citations), Health Informatics (79 citations), Experimental and Cognitive Psychology (544 citations) and Health (307 citations). Jonathan Ling has collaborated with scholars based in United Kingdom, Jordan and Nigeria. Frequent co-authors include Paul van Schaik, Thomas Heffernan, Andrew Scholey, Jacqui Rodgers, Steven Muncer, Tom Buchanan, A. C. Parrott, Walid Al‐Qerem, Judith Eberhardt and Catherine Haighton. Their work appears in journals such as PLoS ONE, Vaccines, Human Psychopharmacology Clinical and Experimental, Interacting with Computers and International Journal of Human-Computer Studies.

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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