Euan Adie

1.2k citations
22 papers · 803 indexed · h-index 10
Topics
scientometrics and bibliometrics research (6 papers)Big Data and Business Intelligence (3 papers)Machine Learning in Bioinformatics (2 papers)

In The Last Decade

Euan Adie

21 papers receiving 765 citations

Peers

Euan Adie
Comparison fields: 5 of 108
  • Molecular Biology 402
  • Statistics, Probability and Uncertainty 193
  • Genetics 157
  • Information Systems 112
  • Information Systems and Management 58
Replace Shirley Wu with:
Shirley Wu United States
Máté Pálfy Germany
Sarvenaz Sarabipour United States
Nicole Vasilevsky United States
William G. Gunn United States
Heinrich Stamerjohanns Germany
M. A. Zulueta Spain
Ryan Splittgerber United States
Joel Martin United States
Annamaria Carusi United Kingdom
Euan Adie relative to Shirley Wu United States Shirley Wu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Euan Adie

Since Specialization
Citations

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

Fields of papers citing papers by Euan Adie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Euan Adie

This figure shows the co-authorship network connecting the top 25 collaborators of Euan Adie. A scholar is included among the top collaborators of Euan Adie 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 Euan Adie. Euan Adie 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 48
2 7
3 2
4
The State of Altmetrics: A Tenth Anniversary Celebration
3
5
Reproducibility or Producibility? Metrics and their masters
3
6 2
7 1
8
Realising the Potential of Altmetrics within Institutions
3
9 13
10 2
11
The grey literature from an altmetrics perspective - opportunity and challenges
3
12
Altmetrics in practice: How are institutional repositories using altmetrics today?
1
13 22
14 0
15 1
16 24
17 96
18 178
19 194
20 13

About Euan Adie

Euan Adie is a scholar working on Statistics, Probability and Uncertainty, Information Systems and Management and Management Information Systems, having authored 22 papers that have together received 803 indexed citations. Recurring topics across this work include scientometrics and bibliometrics research (6 papers), Big Data and Business Intelligence (3 papers) and Machine Learning in Bioinformatics (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (193 citations), Information Systems and Management (58 citations) and Communication (45 citations). Euan Adie has collaborated with scholars based in United Kingdom, United States and Czechia. Frequent co-authors include David J. Porteous, Ben Pickard, Kathryn L. Evans, Richard R. Adams, Jean Liu, Martin Szomszor, Pippa A. Thomson, S. W. Morris, A. Christoforou and W.J. Muir. Their work appears in journals such as Bioinformatics, Molecular Psychiatry and BMC Bioinformatics.

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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