Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Weight stigma experienced by patients with obesity in healthcare settings: A qualitative evidence synthesis
This map shows the geographic impact of Owen Conlan'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 Owen Conlan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Owen Conlan more than expected).
This network shows the impact of papers produced by Owen Conlan. 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 Owen Conlan. The network helps show where Owen Conlan may publish in the future.
Co-authorship network of co-authors of Owen Conlan
This figure shows the co-authorship network connecting the top 25 collaborators of Owen Conlan.
A scholar is included among the top collaborators of Owen Conlan 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 Owen Conlan. Owen Conlan is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Steiner, Christina, et al.. (2017). Cultural Variations in E-Learning--A Case Study on Medical Training.. International journal on e-learning. 16(1). 81–98.1 indexed citations
5.
Agosti, Maristella, et al.. (2014). Enriching Digital Cultural Heritage Collections via Annotations: The CULTURA approach.. Research Padua Archive (University of Padua). 319–326.1 indexed citations
6.
Steiner, Christina, Adam Moore, Owen Conlan, et al.. (2013). An Investigation of Successful Self-Regulated-Learning in a Technology-Enhanced Learning Environment. 19–23.2 indexed citations
7.
Conlan, Owen, et al.. (2013). CULTURA: Supporting Professional Humanities Researchers.. DH. 99–100.1 indexed citations
8.
Lawless, Séamus, et al.. (2013). The CULTURA Portal: Exploring Cultural Treasures. Arrow@dit (Dublin Institute of Technology).
9.
Moore, Adam, Christina Steiner, & Owen Conlan. (2013). Design and development of an empirical smiley-based affective instrument. 41–52.8 indexed citations
Dagger, Declan, Vincent Wade, & Owen Conlan. (2005). Personalisation for all: making adaptive course composition easy. Educational Technology & Society. 8(3). 9–25.44 indexed citations
12.
Conlan, Owen, et al.. (2005). Towards the Dynamic Personalized Selection and Creation of Learning Objects. E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education. 2005(1). 1903–1909.4 indexed citations
13.
Lawless, Séamus, Vincent Wade, & Owen Conlan. (2005). Dynamic Contextual eLearning - Dynamic Content Discovery, Capture and Learning Object Generation from Open Corpus Sources. Arrow@dit (Dublin Institute of Technology). 2005(1). 2158–2165.2 indexed citations
14.
Conlan, Owen, et al.. (2005). Discrepancies Between Reality and Expectation: Can Adaptive Hypermedia Meet the Expectations of Teachers?. 88–95.2 indexed citations
15.
Dagger, Declan, Owen Conlan, & Vincent Wade. (2005). Fundamental Requirements of Personalised eLearning Development Environments. E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education. 2005(1). 2746–2754.4 indexed citations
16.
Conlan, Owen, et al.. (2004). Dynamic Composition and Personalization of PDA-based eLearning – Personalized mLearning. E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education. 2004(1). 234–242.12 indexed citations
17.
Dagger, Declan, Vincent Wade, & Owen Conlan. (2004). A Framework for Developing Adaptive Personalized eLearning. E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education. 2004(1). 2579–2587.2 indexed citations
18.
Dagger, Declan, Owen Conlan, & Vincent Wade. (2003). An Architecture for Candidacy in Adaptive eLearning Systems to Facilitate the Reuse of Learning Resources. E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education. 2003(1). 49–56.26 indexed citations
19.
Dagger, Declan, Vincent Wade, & Owen Conlan. (2002). Towards a Standards-based Approach to e-Learning Personalization using Reusable Learning Objects. E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education. 2002(1). 210–217.52 indexed citations
20.
Conlan, Owen, et al.. (2002). An Architecture for integrating Adaptive Hypermedia Services with Open Learning Environments. EdMedia: World Conference on Educational Media and Technology. 2002(1). 344–350.15 indexed citations
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.