Liam Dorris

4.1k citations
44 papers · 1.1k · h-index 19

Impact in

Papers in

Liam Dorris

42 papers receiving 1.1k citations

Peers

Liam Dorris
Comparison fields: 5 of 82
  • Psychiatry and Mental health 424
  • Cognitive Neuroscience 212
  • Pediatrics, Perinatology and Child Health 185
  • Endocrine and Autonomic Systems 50
  • Epidemiology 225
Replace Kelly L. Cervellione with:
Kelly L. Cervellione United States
Jennifer A. Janusz United States
Ida Sue Baron United States
Karen D. Evankovich United States
Alison Jackson United Kingdom
Christopher G. McCusker United Kingdom
Robert K. Heaton United States
Fatih Ünal Türkiye
Harry N. Bawden Canada
Philippe Mazet France
Liam Dorris relative to Kelly L. Cervellione United States Kelly L. Cervellione's profile →
Citations per field
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Kelly L. Cervellione · 1×
Citations per year

Countries citing papers authored by Liam Dorris

Since Specialization
Citations

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

Fields of papers citing papers by Liam Dorris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201196
2 200990
3 200474
4 200871
5 200761
6 201258
7 200856
8 200854
9 200752
10 201152
11 201646
12 201345
13 200745
14 201745
15 202242
16 201127
17 201125
18 202220
19 202319
20 201317

About Liam Dorris

Liam Dorris is a scholar working on Psychiatry and Mental health, Pediatrics, Perinatology and Child Health, Cognitive Neuroscience, Epidemiology and Developmental Neuroscience, having authored 44 papers that have together received 1.1k indexed citations. Recurring topics across this work include Epilepsy research and treatment (15 papers), Childhood Cancer Survivors' Quality of Life (6 papers), Traumatic Brain Injury Research (6 papers), Neonatal and fetal brain pathology (6 papers), Infant Development and Preterm Care (5 papers), Attention Deficit Hyperactivity Disorder (2 papers), Sleep and Wakefulness Research (2 papers) and Pharmacological Effects and Toxicity Studies (2 papers). The work is most often cited by research in Psychiatry and Mental health (424 citations), Cognitive Neuroscience (212 citations), Pediatrics, Perinatology and Child Health (185 citations), Endocrine and Autonomic Systems (50 citations) and Epidemiology (225 citations). Liam Dorris has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Sameer M. Zuberi, Thomas M. McMillan, Colin Alexander Espie, Andreas Brunklaus, Jenny Limond, Nicola J Scott, Mary O’Regan, Jeff Salt, Fiona J. Knott and Linda H. Connor. Their work appears in journals such as European Journal of Paediatric Neurology, Epilepsy & Behavior, Developmental Medicine & Child Neurology, Epilepsia and Developmental Neurorehabilitation.

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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