Anne Fearfull

36 total papers · 591 total citations
24 papers, 395 citations indexed

About

Anne Fearfull is a scholar working on Organizational Behavior and Human Resource Management, General Health Professions and Gender Studies. According to data from OpenAlex, Anne Fearfull has authored 24 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Organizational Behavior and Human Resource Management, 6 papers in General Health Professions and 6 papers in Gender Studies. Recurrent topics in Anne Fearfull's work include Management and Organizational Studies (6 papers), Gender Diversity and Inequality (5 papers) and Healthcare innovation and challenges (3 papers). Anne Fearfull is often cited by papers focused on Management and Organizational Studies (6 papers), Gender Diversity and Inequality (5 papers) and Healthcare innovation and challenges (3 papers). Anne Fearfull collaborates with scholars based in United Kingdom, United States and Spain. Anne Fearfull's co-authors include Nicolina Kamenou, Kathryn Haynes, John Ferguson, Francesca Sobande, Douglas Brownlie, Tony Tinker, Gina Netto, Bruce Burton, María Victoria Sanagustín Fons and Chris Carter and has published in prestigious journals such as Accounting Auditing & Accountability Journal, Studies in Higher Education and British Journal of Management.

In The Last Decade

Anne Fearfull

22 papers receiving 361 citations

Author Peers

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

Author Last Decade Papers Cites
Anne Fearfull 146 133 81 73 65 24 395
Ruth Sessler Bernstein 165 1.1× 184 1.4× 105 1.3× 75 1.0× 88 1.4× 22 422
Lynne Bennington 47 0.3× 79 0.6× 176 2.2× 27 0.4× 73 1.1× 31 433
Su Maddock 85 0.6× 88 0.7× 127 1.6× 19 0.3× 61 0.9× 17 403
Stephen J. Perkins 57 0.4× 59 0.4× 148 1.8× 105 1.4× 85 1.3× 42 380
Amy McMillan Capehart 179 1.2× 107 0.8× 190 2.3× 54 0.7× 62 1.0× 17 371
Duckjung Shin 45 0.3× 78 0.6× 241 3.0× 46 0.6× 137 2.1× 20 437
Hyosun Kim 49 0.3× 107 0.8× 168 2.1× 82 1.1× 128 2.0× 37 444
Simone T. A. Phipps 57 0.4× 70 0.5× 179 2.2× 22 0.3× 45 0.7× 33 367
Claire Dambrin 45 0.3× 133 1.0× 168 2.1× 107 1.5× 60 0.9× 23 423
C. William Roe 31 0.2× 112 0.8× 223 2.8× 31 0.4× 43 0.7× 23 395

Countries citing papers authored by Anne Fearfull

Since Specialization
Citations

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

Fields of papers citing papers by Anne Fearfull

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anne Fearfull

This figure shows the co-authorship network connecting the top 25 collaborators of Anne Fearfull. A scholar is included among the top collaborators of Anne Fearfull 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 Anne Fearfull. Anne Fearfull 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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