David E. Most

13 papers receiving 435 citations

Peers

David E. Most
Comparison fields: 5 of 71
  • Developmental Neuroscience 44
  • Developmental and Educational Psychology 121
  • Clinical Psychology 173
  • Cognitive Neuroscience 124
  • Occupational Therapy 23
Replace Hefziba Lifshitz with:
Hefziba Lifshitz Israel
Ellis M. Craig United States
Miguel Pérez Pereira Spain
Virginia Costenbader United States
Haris Memišević Bosnia and Herzegovina
Mark Guiberson United States
Maja Roch Italy
Paul Marciano United States
Debra Costley Australia
Brett Heasman United Kingdom
David E. Most relative to Hefziba Lifshitz Israel Hefziba Lifshitz's profile →
Citations per field
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Hefziba Lifshitz · 1×
Citations per year

Countries citing papers authored by David E. Most

Since Specialization
Citations

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

Fields of papers citing papers by David E. Most

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside David E. Most, 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 David E. Most Line = papers co-authored together David E. Most links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 200664
2 201061
3 200855
4 200953
5 200551
6 201238
7 200732
8 200829
9 200628
10 201727
11 200522
12 201417
13 20072

About David E. Most

David E. Most is a scholar working on Public Health, Environmental and Occupational Health, Clinical Psychology, Cognitive Neuroscience, Developmental Neuroscience and Developmental and Educational Psychology, having authored 13 papers that have together received 479 indexed citations. Recurring topics across this work include Down syndrome and intellectual disability research (6 papers), Williams Syndrome Research (3 papers), Autism Spectrum Disorder Research (3 papers), Language Development and Disorders (3 papers), Digital Games and Media (2 papers), Family and Disability Support Research (2 papers), Gender, Feminism, and Media (1 paper) and Discourse Analysis in Language Studies (1 paper). The work is most often cited by research in Developmental Neuroscience (44 citations), Developmental and Educational Psychology (121 citations), Clinical Psychology (173 citations), Cognitive Neuroscience (124 citations) and Occupational Therapy (23 citations). David E. Most has collaborated with scholars based in United States and Japan. Frequent co-authors include Deborah J. Fidler, Amy Philofsky, Jeffrey G. Snodgrass, Jean F. Kelly, Cathryn Booth‐LaForce, Mark Guiberson, H.J. François Dengah, Jesse Fagan, Michael G. Lacy and Karen Caplovitz Barrett. Their work appears in journals such as Journal of Women and Minorities in Science and Engineering, Journal of Intellectual Disability Research, Journal of College Student Retention Research Theory & Practice, Games and Culture and Culture Medicine and Psychiatry.

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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