Danny Kingsley

480 citations
29 papers · 312 indexed · h-index 9
Topics
scientometrics and bibliometrics research (11 papers)Research Data Management Practices (10 papers)Academic Publishing and Open Access (7 papers)
Journals
NatureSHILAP Revista de lepidopterologíaFirst Monday

In The Last Decade

Danny Kingsley

27 papers receiving 269 citations

Peers

Danny Kingsley
Comparison fields: 5 of 69
  • Information Systems 120
  • Statistics, Probability and Uncertainty 104
  • Information Systems and Management 66
  • Communication 46
  • Sociology and Political Science 42
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Christian Schloegl Austria
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Citations per field
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Citations per year

Countries citing papers authored by Danny Kingsley

Since Specialization
Citations

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

Fields of papers citing papers by Danny Kingsley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danny Kingsley

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 2
3 2
4 7
5 6
6 0
7 26
8 2
9 8
10 1
11 10
12 3
13 101
14 12
15
Repositories, research and reporting: the conflict between institutional and disciplinary needs
4
16
The Institutional/Disciplinary Divide, a Barrier to Open Access
1
17 16
18 1
19
Open access publishing: a solution to the serials crisis?
1
20 64

About Danny Kingsley

Danny Kingsley is a scholar working on Information Systems and Management, Statistics, Probability and Uncertainty and History and Philosophy of Science, having authored 29 papers that have together received 312 indexed citations. Recurring topics across this work include scientometrics and bibliometrics research (11 papers), Research Data Management Practices (10 papers) and Academic Publishing and Open Access (7 papers). The work is most often cited by research in Library and Information Sciences (23 citations), Statistics, Probability and Uncertainty (104 citations) and Information Systems and Management (66 citations). Danny Kingsley has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Mary Anne Kennan, Linda Butler, Colin Steele, Roger Clarke, Marta Teperek, Michael Barber, Ayesha Tulloch, Jane Elith, Joanna Richardson and James A. Grange. Their work appears in journals such as Nature, SHILAP Revista de lepidopterología and First Monday.

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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