In-depth Interviewing: Principles, Techniques, Analysis

506 indexed citations
published 2008
Journal
RUNE (Research UNE)

In The Last Decade

doi.org/w22495141 →

Countries where authors are citing In-depth Interviewing: Principles, Techniques, Analysis

Specialization
Citations

This map shows the geographic impact of In-depth Interviewing: Principles, Techniques, Analysis. 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 In-depth Interviewing: Principles, Techniques, Analysis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites In-depth Interviewing: Principles, Techniques, Analysis more than expected).

Fields of papers citing In-depth Interviewing: Principles, Techniques, Analysis

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of In-depth Interviewing: Principles, Techniques, Analysis. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the In-depth Interviewing: Principles, Techniques, Analysis.

About In-depth Interviewing: Principles, Techniques, Analysis

This paper, published in 2008, received 506 indexed citations . Written by Victor Minichiello, Rosalie Aroni and Terrence Hays. It is primarily cited by scholars working on Sociology and Political Science (151 citations), General Health Professions (87 citations) and Clinical Psychology (84 citations). Published in RUNE (Research UNE).

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.

This paper is also available at doi.org/w22495141.

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