Fiona N. Conway

55 total papers · 554 total citations
34 papers, 345 citations indexed

About

Fiona N. Conway is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health and Clinical Psychology. According to data from OpenAlex, Fiona N. Conway has authored 34 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Epidemiology, 9 papers in Public Health, Environmental and Occupational Health and 8 papers in Clinical Psychology. Recurrent topics in Fiona N. Conway's work include Substance Abuse Treatment and Outcomes (5 papers), HIV, Drug Use, Sexual Risk (5 papers) and Traumatic Brain Injury Research (4 papers). Fiona N. Conway is often cited by papers focused on Substance Abuse Treatment and Outcomes (5 papers), HIV, Drug Use, Sexual Risk (5 papers) and Traumatic Brain Injury Research (4 papers). Fiona N. Conway collaborates with scholars based in United States, United Kingdom and Netherlands. Fiona N. Conway's co-authors include Alan S. Brown, Jennifer F. Buckman, Brandon L. Alderman, Paul Barron, Kasey Claborn, Tom Baum, Anne E. Ray, Marsha E. Bates, David Eddie and Helene R. White and has published in prestigious journals such as Neuroscience & Biobehavioral Reviews, Journal of the Association for Information Systems and International Journal of Psychophysiology.

In The Last Decade

Fiona N. Conway

31 papers receiving 335 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Fiona N. Conway 102 59 46 41 36 34 345
Zachary C. Merz 143 1.4× 22 0.4× 91 2.0× 24 0.6× 34 0.9× 35 319
Jennifer Nguyễn 46 0.5× 71 1.2× 56 1.2× 13 0.3× 31 0.9× 28 372
Jeffrey J. Milroy 130 1.3× 41 0.7× 71 1.5× 12 0.3× 45 1.3× 54 357
Caroline Brunelle 114 1.1× 28 0.5× 146 3.2× 35 0.9× 61 1.7× 27 350
Zoe Fisher 49 0.5× 21 0.4× 107 2.3× 15 0.4× 19 0.5× 31 381
Adarsh Kohli 21 0.2× 36 0.6× 111 2.4× 16 0.4× 32 0.9× 40 360
Nathan T. Kearns 63 0.6× 18 0.3× 139 3.0× 14 0.3× 27 0.8× 40 384
Malcolm Adams 65 0.6× 35 0.6× 117 2.5× 11 0.3× 7 0.2× 22 394
Dunia Garrido 21 0.2× 29 0.5× 114 2.5× 21 0.5× 25 0.7× 35 398
Rachid Aalouane 53 0.5× 23 0.4× 103 2.2× 10 0.2× 23 0.6× 57 296

Countries citing papers authored by Fiona N. Conway

Since Specialization
Citations

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

Fields of papers citing papers by Fiona N. Conway

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fiona N. Conway. 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 Fiona N. Conway. The network helps show where Fiona N. Conway may publish in the future.

Co-authorship network of co-authors of Fiona N. Conway

This figure shows the co-authorship network connecting the top 25 collaborators of Fiona N. Conway. A scholar is included among the top collaborators of Fiona N. Conway 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 Fiona N. Conway. Fiona N. Conway is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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