Paul Ayris

465 citations
44 papers · 238 · h-index 8

Impact in

Papers in

    • Research Data Management Practices 11
    • Library Science and Information Systems 9
    • Library Collection Development and Digital Resources 5
    • Digital and Traditional Archives Management 9

Paul Ayris

36 papers receiving 190 citations

Peers

Paul Ayris
Comparison fields: 5 of 62
  • Information Systems and Management 82
  • Conservation 35
  • Statistics, Probability and Uncertainty 42
  • Information Systems 127
  • Ecological Modeling 19
Replace Vivien Petras with:
Vivien Petras Germany
John Unsworth United States
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Gail McMillan United States
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Jessie M.N. Hey United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Paul Ayris

Since Specialization
Citations

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

Fields of papers citing papers by Paul Ayris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Paul Ayris, 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 Paul Ayris Line = papers co-authored together Paul Ayris links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201647
2 201825
3
The LIFE2 final project report
200819
4 201816
5 202015
6 201910
7
Lifecycle information for e-literature: full report from the LIFE project
20069
8 20148
9
Guidance for selecting materials for digitisation
19987
10 20176
11 20116
12
LERU Roadmap for Research Data
20136
13
The LIFE Model v1.1
20075
14
Thomas Cranmer: churchman and scholar
19935
15
LERU Roadmap for Research Data
20135
16 20094
17
LIFE: Costing the digital preservation lifecycle
20074
18 20073
19 20143
20 20173

About Paul Ayris

Paul Ayris is a scholar working on Information Systems, Conservation, Literature and Literary Theory, Artificial Intelligence and Information Systems and Management, having authored 44 papers that have together received 238 indexed citations. Recurring topics across this work include Research Data Management Practices (11 papers), Digital and Traditional Archives Management (9 papers), Library Science and Information Systems (9 papers), Digital Humanities and Scholarship (6 papers), Library Collection Development and Digital Resources (5 papers), Semantic Web and Ontologies (5 papers), Scientific Computing and Data Management (3 papers) and Reformation and Early Modern Christianity (3 papers). The work is most often cited by research in Information Systems and Management (82 citations), Conservation (35 citations), Statistics, Probability and Uncertainty (42 citations), Information Systems (127 citations) and Ecological Modeling (19 citations). Paul Ayris has collaborated with scholars based in United Kingdom, Australia and Germany. Frequent co-authors include Paul Wheatley, Klaus Tochtermann, Stefanie Lindstaedt, Ross Wilkinson, Barend Mons, Caj Södergård, Yasuhiro Murayama, Anna Monreale, Richard Davies and Rentao Miao. Their work appears in journals such as LIBER Quarterly The Journal of the Association of European Research Libraries, Insights the UKSG journal, The Journal of Ecclesiastical History, The Historical Journal and College & Research Libraries News.

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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