Laura Lamming

539 citations
12 papers · 349 · h-index 8

Impact in

  • Nephrology top 5%
    • Acute Kidney Injury Research
    • Chronic Kidney Disease and Diabetes
    • Visual perception and processing mechanisms
    • Face Recognition and Perception
    • Neural and Behavioral Psychology Studies

Papers in

Laura Lamming

11 papers receiving 343 citations

Peers

Laura Lamming
Comparison fields: 5 of 68
  • Nephrology 105
  • Cognitive Neuroscience 76
  • Sensory Systems 18
  • Human-Computer Interaction 16
  • Computer Vision and Pattern Recognition 59
Replace Frederick H. F. Chan with:
Frederick H. F. Chan Singapore
Johan Snygg Sweden
Monica Casati Italy
Nicole Stenquist United States
Indranill Basu‐Ray United States
Heather Baxter Canada
Diane Ames United Kingdom
Aylin Altan United States
Lauren R. Kennedy-Metz United States
Kazuya Yoshimura Japan
Laura Lamming relative to Frederick H. F. Chan Singapore Frederick H. F. Chan's profile →
Citations per field
00.5×
Frederick H. F. Chan · 1×
Citations per year

Countries citing papers authored by Laura Lamming

Since Specialization
Citations

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

Fields of papers citing papers by Laura Lamming

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2019109
2 200794
3 201779
4 201414
5 202114
6 201612
7 201911
8 20197
9 20197
10
What do we Know About Brief Interventions to Promote Physical Activity? Systematic Review of Reviews
20141
11 20181
12 20250

About Laura Lamming

Laura Lamming is a scholar working on General Health Professions, Nephrology, Applied Psychology, Physiology and Emergency Medical Services, having authored 12 papers that have together received 349 indexed citations. Recurring topics across this work include Health Policy Implementation Science (2 papers), Behavioral Health and Interventions (2 papers), Patient Safety and Medication Errors (2 papers), Physical Activity and Health (2 papers), Acute Kidney Injury Research (2 papers), Patient Satisfaction in Healthcare (1 paper), Face Recognition and Perception (1 paper) and Urban Green Space and Health (1 paper). The work is most often cited by research in Nephrology (105 citations), Cognitive Neuroscience (76 citations), Sensory Systems (18 citations), Human-Computer Interaction (16 citations) and Computer Vision and Pattern Recognition (59 citations). Laura Lamming has collaborated with scholars based in United Kingdom and India. Frequent co-authors include Geoffrey Underwood, Tom Foulsham, Mohammed A. Mohammed, Wendy Hardeman, Stephen Sutton, Katie Morton, Dan Mason, Sally Pears, Anna Casula and Fergus Caskey. Their work appears in journals such as BMC Primary Care, Journal of the American Society of Nephrology, Consciousness and Cognition, Implementation Science and PLoS ONE.

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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