Nicholas Fabiano

828 citations
41 papers · 187 indexed · h-index 8
Topics
Meta-analysis and systematic reviews (8 papers)Schizophrenia research and treatment (5 papers)Artificial Intelligence in Healthcare and Education (4 papers)
Journals
SHILAP Revista de lepidopterologíaMolecular PsychiatryJournal of Affective Disorders

In The Last Decade

Nicholas Fabiano

29 papers receiving 181 citations

Peers

Nicholas Fabiano
Comparison fields: 5 of 75
  • Clinical Psychology 40
  • Statistics, Probability and Uncertainty 37
  • Health Informatics 31
  • Public Health, Environmental and Occupational Health 30
  • Radiology, Nuclear Medicine and Imaging 28
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Kelly Lloyd United Kingdom
Caroline Barkholt Kamp Denmark
Gustavo Jimenez‐Maggiora United States
Jennifer C. Samp United States
Janice Tufte United States
Esperanza Escortell‐Mayor Spain
Andreas Aalkjær Danielsen Denmark
Trent Emerick United States
Kiran Grant Canada
Nathalie Moise United States
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Citations per year

Countries citing papers authored by Nicholas Fabiano

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas Fabiano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicholas Fabiano

This figure shows the co-authorship network connecting the top 25 collaborators of Nicholas Fabiano. A scholar is included among the top collaborators of Nicholas Fabiano based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nicholas Fabiano. Nicholas Fabiano is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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#WorkIndexed citations
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14 7
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About Nicholas Fabiano

Nicholas Fabiano is a scholar working on Health Informatics, Statistics, Probability and Uncertainty and Psychiatry and Mental health, having authored 41 papers that have together received 187 indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (8 papers), Schizophrenia research and treatment (5 papers) and Artificial Intelligence in Healthcare and Education (4 papers). The work is most often cited by research in Health Informatics (31 citations), Statistics, Probability and Uncertainty (37 citations) and Family Practice (6 citations). Nicholas Fabiano has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Marco Solmi, Stanley Wong, Jess G. Fiedorowicz, Arnav Gupta, Robert Frank, Muhammad Maaz, Brendon Stubbs, Jean‐Paul Salameh, Andrew L. Smith and Matthew D. F. McInnes. Their work appears in journals such as SHILAP Revista de lepidopterología, Molecular Psychiatry and Journal of Affective Disorders.

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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