David Greatbatch

47 papers receiving 2.0k citations

Peers

David Greatbatch
Comparison fields: 5 of 131
  • Language and Linguistics 725
  • Literature and Literary Theory 465
  • Human-Computer Interaction 165
  • Organizational Behavior and Human Resource Management 244
  • Communication 168
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Citations per year

Countries citing papers authored by David Greatbatch

Since Specialization
Citations

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

Fields of papers citing papers by David Greatbatch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David Greatbatch, 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 David Greatbatch Line = papers co-authored together David Greatbatch links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Qualitative research methods in health technology assessment: a review of the literature.
1998280
2
On the institutional character of institutional talk: the case of news interviews
1991238
3 1986210
4 1988206
5 1992157
6 1995120
7 198698
8 199887
9 200576
10 199375
11 200374
12 198971
13 199770
14 200462
15 199059
16 200558
17 200547
18 200436
19
Management Speak: Why We Listen to What Management Gurus Tell Us
200534
20 200530

About David Greatbatch

David Greatbatch is a scholar working on Sociology and Political Science, General Health Professions, Organizational Behavior and Human Resource Management, Education and Social Psychology, having authored 47 papers that have together received 2.3k indexed citations. Recurring topics across this work include Language, Discourse, Communication Strategies (5 papers), Management and Organizational Studies (5 papers), Healthcare innovation and challenges (4 papers), Discourse Analysis in Language Studies (3 papers), Interprofessional Education and Collaboration (3 papers), Language, Metaphor, and Cognition (3 papers), Usability and User Interface Design (3 papers) and Management and Marketing Education (2 papers). The work is most often cited by research in Language and Linguistics (725 citations), Literature and Literary Theory (465 citations), Human-Computer Interaction (165 citations), Organizational Behavior and Human Resource Management (244 citations) and Communication (168 citations). David Greatbatch has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Robert Dingwall, Timothy Clark, John Heritage, Paul Luff, Christian Heath, Elizabeth Murphy, Susan W. Parker, Pamela G. Watson, Peter Campion and Jackie Goode. Their work appears in journals such as Journal of Social Welfare and Family Law, Human Relations, American Sociological Review, Interacting with Computers and The British Journal of Social Work.

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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