Brian D’Netto

1.5k citations
28 papers · 923 indexed · h-index 13

Impact in

Papers in

Brian D’Netto

26 papers receiving 818 citations

Peers

Brian D’Netto
Comparison fields: 5 of 76
  • Gender Studies 372
  • Organizational Behavior and Human Resource Management 364
  • Communication 138
  • Public Administration 59
  • Tourism, Leisure and Hospitality Management 19
Replace Robin Kramar with:
Robin Kramar Australia
Kathy Monks Ireland
Erica French Australia
Nancy Papalexandris Greece
Madeline Crocitto United States
Aminu Mamman United Kingdom
Steve McKenna Canada
Adam Smale Finland
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Margaret Reid United States
Brian D’Netto relative to Robin Kramar Australia Robin Kramar's profile →
Citations per field
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Citations per year

Countries citing papers authored by Brian D’Netto

Since Specialization
Citations

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

Fields of papers citing papers by Brian D’Netto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian D’Netto. 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 Brian D’Netto. The network helps show where Brian D’Netto may publish in the future.

Co-authorship network

The 17 scholars most cited alongside Brian D’Netto, 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 Brian D’Netto Line = papers co-authored together Brian D’Netto links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201924
2 20171
3 201612
4 20153
5 201561
6 201344
7
Determinants of Empowerment of Rural Women in Bangladesh
201210
8 20121
9
Cultural Intelligence and Openness: Essential Elements of Effective Global Leadership
20116
10 201122
11 2009314
12 200826
13 20069
14 200412
15 20017
16 199980
17 199814
18 19984
19 19983
20 19958

About Brian D’Netto

Brian D’Netto is a scholar working on Public Administration, Communication, Gender Studies, Organizational Behavior and Human Resource Management and Business and International Management, having authored 28 papers that have together received 923 indexed citations. Recurring topics across this work include Gender Diversity and Inequality (9 papers), Labor Movements and Unions (7 papers), International Student and Expatriate Challenges (5 papers), Employment and Welfare Studies (4 papers), Job Satisfaction and Organizational Behavior (4 papers), Quality and Supply Management (3 papers), Organizational Downsizing and Restructuring (3 papers) and Human Resource Development and Performance Evaluation (2 papers). The work is most often cited by research in Gender Studies (372 citations), Organizational Behavior and Human Resource Management (364 citations), Communication (138 citations), Public Administration (59 citations) and Tourism, Leisure and Hospitality Management (19 citations). Brian D’Netto has collaborated with scholars based in Australia, China and Fiji. Frequent co-authors include Jie Shen, Manjit Monga, Amrik S. Sohal, John Hannon, Ramudu Bhanugopan, John Chelliah, Ningyu Tang, Prashant Bordia, Ezaz Ahmed and Janet Chew. Their work appears in journals such as The International Journal of Human Resource Management, Human Factors and Ergonomics in Manufacturing & Service Industries, Technovation, Employee Relations and ˜The œJournal of developing areas.

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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