Stephen Logsdail

1.1k citations
16 papers · 856 · h-index 10

Impact in

Papers in

Stephen Logsdail

16 papers receiving 754 citations

Peers

Stephen Logsdail
Comparison fields: 5 of 75
  • Psychiatry and Mental health 334
  • Pathology and Forensic Medicine 239
  • Neurology 157
  • Rheumatology 87
  • Pediatrics, Perinatology and Child Health 98
Replace Colin R. Bamford with:
Colin R. Bamford United States
Sasson Stephen Gubbay Australia
Charles G. Jacoby United States
Joy B. Parrish United States
Richard Fox Canada
Robin E. Osborn United States
Nathanel Zelnik Israel
Pier Antonio Battistella Italy
Gail E. Solomon United States
Heidi Allison Bender United States
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Citations per field
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Citations per year

Countries citing papers authored by Stephen Logsdail

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Logsdail

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 1988266
2 1988112
3 1989112
4 1989103
5 199263
6 198853
7 198437
8 199132
9 198828
10 200522
11 198710
12 19907
13 19845
14 20094
15 20131
16 20091

About Stephen Logsdail

Stephen Logsdail is a scholar working on Pathology and Forensic Medicine, Clinical Psychology, Neurology, Philosophy and Experimental and Cognitive Psychology, having authored 16 papers that have together received 856 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (4 papers), Obsessive-Compulsive Spectrum Disorders (3 papers), Neurological and metabolic disorders (2 papers), Polyomavirus and related diseases (2 papers), Ultrasound and Hyperthermia Applications (2 papers), Mental Health and Psychiatry (2 papers), Complex Systems and Time Series Analysis (1 paper) and Psychosomatic Disorders and Their Treatments (1 paper). The work is most often cited by research in Psychiatry and Mental health (334 citations), Pathology and Forensic Medicine (239 citations), Neurology (157 citations), Rheumatology (87 citations) and Pediatrics, Perinatology and Child Health (98 citations). Stephen Logsdail has collaborated with scholars based in United Kingdom, Ghana and United States. Frequent co-authors include Brian Toone, María A. Ron, Margie M. Callanan, Elizabeth K. Warrington, David MacManus, I E Ormerod, W. I. McDonald, Brian E. Kendall, Karina Lovell and Isaac M Marks. Their work appears in journals such as The British Journal of Psychiatry, Psychological Medicine, Behavior Therapy, Clinical Medicine and The Lancet.

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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