Ian Mackey

19 papers receiving 592 citations

Ian Mackey's Hit Papers

An 8-Week Self-Administered At-Home Behavioral Skills-Based Virtual Reality Program for Chronic Low Back Pain: Double-Blind, Randomized, Placebo-Controlled Trial Conducted During COVID-19 2021 · 161 citations
1610+1+3Years since publication50100150

Peers

Ian Mackey
Comparison fields: 5 of 64
  • Anesthesiology and Pain Medicine 76
  • Pharmacology 217
  • Applied Psychology 26
  • Cognitive Neuroscience 98
  • Pediatrics, Perinatology and Child Health 80
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Citations per year

Countries citing papers authored by Ian Mackey

Since Specialization
Citations

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

Fields of papers citing papers by Ian Mackey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1
An 8-Week Self-Administered At-Home Behavioral Skills-Based Virtual Reality Program for Chronic Low Back Pain: Double-Blind, Randomized, Placebo-Controlled Trial Conducted During COVID-19
Hit paper breakdown →
2021161
2 2021111
3 201888
4 201960
5 201737
6 202131
7 202225
8 202019
9 202318
10 201717
11 202017
12 20237
13 20213
14 20243
15 20162
16
Biological markers and depression.
20131
17 20211
18 20231
19 20231
20 20220

About Ian Mackey

Ian Mackey is a scholar working on Pharmacology, Cognitive Neuroscience, Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics and Anesthesiology and Pain Medicine, having authored 20 papers that have together received 603 indexed citations. Recurring topics across this work include Musculoskeletal pain and rehabilitation (8 papers), Adaptive optics and wavefront sensing (2 papers), Advanced Vision and Imaging (2 papers), Pain Mechanisms and Treatments (2 papers), Advanced Image Processing Techniques (2 papers), Pain Management and Placebo Effect (2 papers), Pain Management and Treatment (1 paper) and Pregnancy-related medical research (1 paper). The work is most often cited by research in Anesthesiology and Pain Medicine (76 citations), Pharmacology (217 citations), Applied Psychology (26 citations), Cognitive Neuroscience (98 citations) and Pediatrics, Perinatology and Child Health (80 citations). Ian Mackey has collaborated with scholars based in United States, New Zealand and Israel. Frequent co-authors include Beth D. Darnall, Parthasarathy Krishnamurthy, Maisa S. Ziadni, Laura García, Josh Sackman, Brandon Birckhead, Todd Maddox, Robert G. Louis, Vafi Salmasi and Pamela Flood. Their work appears in journals such as Journal of Medical Internet Research, Pain Medicine, JAMA Network Open, Journal of Pain and Journal of Visualized Experiments.

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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