David J. Wrucke

652 citations
5 papers · 346 indexed · 1 hit paper · h-index 2
Topics
Muscle activation and electromyography studies (2 papers)Sports Performance and Training (2 papers)Healthcare professionals’ stress and burnout (1 paper)
Partner nations
United StatesAustralia

In The Last Decade

David J. Wrucke

3 papers receiving 334 citations

Hit Papers

Who is wearing a mask? Gender-, age-, and location-relate...20202026202220242020100200300

Peers

David J. Wrucke
Comparison fields: 5 of 69
  • Clinical Psychology 146
  • Economics and Econometrics 135
  • Modeling and Simulation 123
  • Pulmonary and Respiratory Medicine 113
  • Sociology and Political Science 57
Replace Lauren E. Opielinski with:
Lauren E. Opielinski United States
Emmeke Barbara Kooistra United States
Malouke Esra Kuiper United States
Megan Brownlee United States
Elke Olthuis United States
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Brittany N. Hearne United States
Siyue Li United States
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David J. Wrucke relative to Lauren E. Opielinski United States Lauren E. Opielinski's profile →
Citations per field
00.5×1.5×
Lauren E. Opielinski · 1×
Citations per year

Countries citing papers authored by David J. Wrucke

Since Specialization
Citations

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

Fields of papers citing papers by David J. Wrucke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David J. Wrucke. 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 David J. Wrucke. The network helps show where David J. Wrucke may publish in the future.

Co-authorship network of co-authors of David J. Wrucke

This figure shows the co-authorship network connecting the top 25 collaborators of David J. Wrucke. A scholar is included among the top collaborators of David J. Wrucke based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David J. Wrucke. David J. Wrucke is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

5 of 5 papers shown
#WorkIndexed citations
1 0
2 10
3 0
4 1
5
Who is wearing a mask? Gender-, age-, and location-related differences during the COVID-19 pandemicbreakdown →
335

About David J. Wrucke

David J. Wrucke is a scholar working on Orthopedics and Sports Medicine, Modeling and Simulation and Clinical Psychology, having authored 5 papers that have together received 346 indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (2 papers), Sports Performance and Training (2 papers) and Healthcare professionals’ stress and burnout (1 paper). The work is most often cited by research in Modeling and Simulation (123 citations), Clinical Psychology (146 citations) and Health (44 citations). David J. Wrucke has collaborated with scholars based in United States and Australia. Frequent co-authors include Sandra K. Hunter, Lauren E. Opielinski, Michael H. Haischer, Toni D. Uhrich, Christopher W. Sundberg, Ashleigh E. Smith, Andrew G. Pearson, April L. Harkins, Maddison L. Mellow and Marie Hoeger Bement. Their work appears in journals such as PLoS ONE, Journal of Applied Physiology and Medicine & Science in Sports & Exercise.

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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