Sam Morgan

10 papers receiving 327 citations

Peers

Sam Morgan
Comparison fields: 5 of 72
  • Developmental and Educational Psychology 125
  • Statistics and Probability 56
  • Cognitive Neuroscience 88
  • Psychiatry and Mental health 63
  • Genetics 41
Replace Kimberly Raymond with:
Kimberly Raymond United States
C J Williams Australia
Maria Chorozoglou United Kingdom
Hugo Câmara‐Costa France
Barbara K. Given United States
Vivian Li United States
Laura Mandefield United Kingdom
Farzan Irani United States
Shadi Gholizadeh United States
Kim L. Miller United States
Sam Morgan relative to Kimberly Raymond United States Kimberly Raymond's profile →
Citations per field
00.5×10×13.7×
Kimberly Raymond · 1×
Citations per year

Countries citing papers authored by Sam Morgan

Since Specialization
Citations

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

Fields of papers citing papers by Sam Morgan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Sam Morgan, 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 Sam Morgan Line = papers co-authored together Sam Morgan links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2004121
2 199874
3 200156
4 198435
5 198829
6 198022
7 19878
8 20075
9 20193
10 20171
11 20140
12 20140
13 20140

About Sam Morgan

Sam Morgan is a scholar working on Clinical Psychology, Developmental and Educational Psychology, Pediatrics, Perinatology and Child Health, Speech and Hearing and Hematology, having authored 13 papers that have together received 354 indexed citations. Recurring topics across this work include Cerebral Palsy and Movement Disorders (2 papers), Family and Disability Support Research (2 papers), Infant Development and Preterm Care (2 papers), Child Development and Digital Technology (1 paper), Renal Diseases and Glomerulopathies (1 paper), Behavioral and Psychological Studies (1 paper), Hemoglobinopathies and Related Disorders (1 paper) and Financial Markets and Investment Strategies (1 paper). The work is most often cited by research in Developmental and Educational Psychology (125 citations), Statistics and Probability (56 citations), Cognitive Neuroscience (88 citations), Psychiatry and Mental health (63 citations) and Genetics (41 citations). Sam Morgan has collaborated with scholars based in United States, Switzerland and Qatar. Frequent co-authors include Charles J. Long, William Marks, Michelle Y. Kibby, Barbara H. Connolly, Winfred C. Wang, Sara W. Day, Paul Collinson, S B Rosalki, Peter Stubbs and John M. OʼDonnell. Their work appears in journals such as Physical Therapy, Journal of Learning Disabilities, Veterinary Record, International Journal of Theoretical and Applied Finance and Journal of Psychoeducational Assessment.

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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