Robin Champieux

400 citations
20 papers · 204 · h-index 5

Impact in

Papers in

Robin Champieux

15 papers receiving 198 citations

Peers

Robin Champieux
Comparison fields: 5 of 65
  • Information Systems and Management 83
  • Statistics, Probability and Uncertainty 35
  • Information Systems 101
  • Management Science and Operations Research 42
  • Health Informatics 2
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Maxi Kindling Germany
Laura Paglione United States
Ya‐Ling Lu United States
Natalie M. Rice United States
Douglas Joubert United States
Ed Pentz United States
Ignasi Labastida i Juan Spain
Melissa Harrison United Kingdom
Natalie Harrower Ireland
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Citations per field
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Citations per year

Countries citing papers authored by Robin Champieux

Since Specialization
Citations

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

Fields of papers citing papers by Robin Champieux

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201792
2 201942
3 201524
4 201913
5 202011
6 20084
7 20234
8 20164
9 20122
10 20161
11 20201
12 20201
13 20161
14 20191
15
The Easy Button: Integrating OA Buttons into ILL Workflows
20181
16 20191
17
Halfway Open or Halfway Shut?: OA Hybrid Journals in Academia
20131
18 20180
19 20230
20 20240

About Robin Champieux

Robin Champieux is a scholar working on Information Systems, Human-Computer Interaction, Information Systems and Management, Demography and Management Information Systems, having authored 20 papers that have together received 204 indexed citations. Recurring topics across this work include Research Data Management Practices (5 papers), Persona Design and Applications (4 papers), Technology Use by Older Adults (3 papers), Scientific Computing and Data Management (3 papers), Publishing and Scholarly Communication (2 papers), Library Science and Information Systems (2 papers), Semantic Web and Ontologies (2 papers) and Biomedical and Engineering Education (2 papers). The work is most often cited by research in Information Systems and Management (83 citations), Statistics, Probability and Uncertainty (35 citations), Information Systems (101 citations), Management Science and Operations Research (42 citations) and Health Informatics (2 citations). Robin Champieux has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Nicole Vasilevsky, Jessica Minnier, Melissa Haendel, Min Shi, David B. Resnik, Seth Carbon, Julie A. McMurry, Lilly Winfree, Po‐Yin Yen and Bailey Farrow. Their work appears in journals such as Journal of the Medical Library Association JMLA, The Bottom Line Managing Library Finances, PeerJ, Accountability in Research and PLoS ONE.

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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