Ian E. Fellows

1.1k citations
35 papers · 708 · h-index 14

Impact in

Papers in

Ian E. Fellows

32 papers receiving 646 citations

Peers

Ian E. Fellows
Comparison fields: 5 of 104
  • Psychiatry and Mental health 307
  • Biological Psychiatry 21
  • Neuropsychology and Physiological Psychology 13
  • Clinical Psychology 149
  • Health 54
Replace Lucie Bankovská Motlová with:
Lucie Bankovská Motlová Czechia
Eduardo González–Fraile Spain
J R Guido United States
Megan Oser United States
Ignacio Basurte-Villamor Spain
Rebeca García Nieto Spain
Cornelis L. Mulder Netherlands
Eric Morris Australia
Rodney Elgie United Kingdom
Robert A. Zachary United States
Ian E. Fellows relative to Lucie Bankovská Motlová Czechia Lucie Bankovská Motlová's profile →
Citations per field
00.5×1.5×2.1×
Lucie Bankovská Motlová · 1×
Citations per year

Countries citing papers authored by Ian E. Fellows

Since Specialization
Citations

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

Fields of papers citing papers by Ian E. Fellows

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201084
2 200870
3 201065
4 200954
5 200854
6 201853
7 201048
8 201039
9 200834
10 200834
11 200730
12 200920
13 201020
14 200913
15 202312
16 20189
17 20159
18 20088
19 20107
20 20206

About Ian E. Fellows

Ian E. Fellows is a scholar working on Psychiatry and Mental health, Epidemiology, Infectious Diseases, Statistics and Probability and General Health Professions, having authored 35 papers that have together received 708 indexed citations. Recurring topics across this work include Schizophrenia research and treatment (10 papers), HIV, Drug Use, Sexual Risk (9 papers), HIV/AIDS Research and Interventions (8 papers), Statistical Methods and Bayesian Inference (2 papers), Census and Population Estimation (2 papers), Data-Driven Disease Surveillance (2 papers), HIV Research and Treatment (2 papers) and Advanced Thermodynamics and Statistical Mechanics (1 paper). The work is most often cited by research in Psychiatry and Mental health (307 citations), Biological Psychiatry (21 citations), Neuropsychology and Physiological Psychology (13 citations), Clinical Psychology (149 citations) and Health (54 citations). Ian E. Fellows has collaborated with scholars based in United States, Uganda and United Kingdom. Frequent co-authors include Barton W. Palmer, Dilip V. Jeste, Shahrokh Golshan, Sidney Zisook, John Kasckow, Colin A. Depp, Ipsit V. Vahia, Helena C. Kraemer, Ellen Solorzano and Somaia Mohamed. Their work appears in journals such as American Journal of Geriatric Psychiatry, PLoS ONE, JMIR Public Health and Surveillance, Schizophrenia Bulletin and Journal of Survey Statistics and Methodology.

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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