E.D. Megaw

586 citations
15 papers · 427 · h-index 9

Impact in

Papers in

E.D. Megaw

15 papers receiving 402 citations

Peers

E.D. Megaw
Comparison fields: 5 of 97
  • Cognitive Neuroscience 193
  • Radiological and Ultrasound Technology 46
  • Human-Computer Interaction 51
  • Social Psychology 116
  • Industrial and Manufacturing Engineering 54
Replace Francesco Di Nocera with:
Francesco Di Nocera Italy
Sonja Stork Germany
Kristian Lukander Finland
Claudine Mélan France
Pramila Rani United States
Ulf Ahlström United States
Patricia May Ververs United States
Dennis B. Beringer United States
Qinbiao Li Hong Kong
Nele Rußwinkel Germany
E.D. Megaw relative to Francesco Di Nocera Italy Francesco Di Nocera's profile →
Citations per field
00.5×7.7×
Francesco Di Nocera · 1×
Citations per year

Countries citing papers authored by E.D. Megaw

Since Specialization
Citations

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

Fields of papers citing papers by E.D. Megaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E.D. Megaw. 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 E.D. Megaw. The network helps show where E.D. Megaw may publish in the future.

Co-authors

The 4 scholars most cited alongside E.D. Megaw, 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 E.D. Megaw Line = papers co-authored together E.D. Megaw links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 197972
2 197471
3 197960
4 197238
5 197937
6 197237
7
Contemporary ergonomics 1984
198437
8 200531
9 197329
10 19796
11 19774
12 19902
13 19791
14 19761
15 19761

About E.D. Megaw

E.D. Megaw is a scholar working on Cognitive Neuroscience, Social Psychology, Human-Computer Interaction, Radiological and Ultrasound Technology and Computer Vision and Pattern Recognition, having authored 15 papers that have together received 427 indexed citations. Recurring topics across this work include Motor Control and Adaptation (3 papers), Tactile and Sensory Interactions (3 papers), Gaze Tracking and Assistive Technology (3 papers), Ergonomics and Human Factors (2 papers), Human-Automation Interaction and Safety (2 papers), Industrial Vision Systems and Defect Detection (2 papers), Occupational Health and Safety Research (2 papers) and Ergonomics and Musculoskeletal Disorders (2 papers). The work is most often cited by research in Cognitive Neuroscience (193 citations), Radiological and Ultrasound Technology (46 citations), Human-Computer Interaction (51 citations), Social Psychology (116 citations) and Industrial and Manufacturing Engineering (54 citations). E.D. Megaw has collaborated with scholars based in United Kingdom. Frequent co-authors include Jonathan P. Richardson, James P. Richardson, William W. Armstrong and Mark S. Young. Their work appears in journals such as Applied Ergonomics, Ergonomics, Human Factors The Journal of the Human Factors and Ergonomics Society, Brain Research and Cognition Technology & Work.

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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