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.
2020418 citationsNoel E. O’Connor, Kevin McGuinness et al.Dublin City University Open Access Institutional Repository (Dublin City University)profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Noel E. O’Connor
Since
Specialization
Citations
This map shows the geographic impact of Noel E. O’Connor'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 Noel E. O’Connor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noel E. O’Connor more than expected).
Fields of papers citing papers by Noel E. O’Connor
This network shows the impact of papers produced by Noel E. O’Connor. 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 Noel E. O’Connor. The network helps show where Noel E. O’Connor may publish in the future.
Co-authorship network of co-authors of Noel E. O’Connor
This figure shows the co-authorship network connecting the top 25 collaborators of Noel E. O’Connor.
A scholar is included among the top collaborators of Noel E. O’Connor 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 Noel E. O’Connor. Noel E. O’Connor is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Curran, Kathleen M., et al.. (2021). Semi-supervised learning of cardiac MRI using image registration. Dublin City University Open Access Institutional Repository (Dublin City University).
3.
Belton, Sarahjane, et al.. (2018). Moving well, being well: an intervention aimed at increasing fundamental movement skills in Irish primary school children, while also increasing teacher confidence in delivering physical activity based lessons.. Dublin City University Open Access Institutional Repository (Dublin City University).2 indexed citations
4.
Ferstl, Ylva, et al.. (2017). A Dataset for Irish sign language recognition. Arrow@dit (Dublin Institute of Technology).7 indexed citations
5.
Zhang, Dian, Timothy Sullivan, Ciprian Briciu-Burghina, et al.. (2014). Detection and classification of anomalous events in water quality datasets within a smart city-smart bay project. Arrow@dit (Dublin Institute of Technology).9 indexed citations
6.
Zhou, Lijuan, Niamh Caprani, Cathal Gurrin, & Noel E. O’Connor. (2013). ShareDay: A new lifelogging brower system for group sharing. Arrow@dit (Dublin Institute of Technology).1 indexed citations
7.
Sullivan, Timothy, Jian Zhang, Ciprian Briciu-Burghina, et al.. (2013). Improving data driven decision making through integration of environmental sensing technologies. Dublin City University Open Access Institutional Repository (Dublin City University).3 indexed citations
8.
Regan, Fiona, Timothy Sullivan, Dian Zhang, et al.. (2013). A smart city-smart bay project - establishing an integrated water monitoring system for decision support in Dublin Bay. Arrow@dit (Dublin Institute of Technology).5 indexed citations
9.
Aly, Robin, et al.. (2012). Link Anchors in Images: Is there Truth?. Arrow@dit (Dublin Institute of Technology).4 indexed citations
Richter, Chris, Noel E. O’Connor, & Kieran Moran. (2012). Comparison of discrete point and continuous data analysis for identifying performance determining factors. Dublin City University Open Access Institutional Repository (Dublin City University).2 indexed citations
12.
Gurrin, Cathal, et al.. (2010). Gesture-based Personal Archive Browsing in a Lean-back Environment. Arrow@dit (Dublin Institute of Technology).1 indexed citations
13.
Hayes, Jer, et al.. (2010). Image processing for smart browsing of ocean colour data products and subsequent incorporation into a multi-modal sensing framework. Arrow@dit (Dublin Institute of Technology).2 indexed citations
14.
Wang, Peng, et al.. (2009). Short-term rainfall nowcasting: using rainfall radar imaging. Arrow@dit (Dublin Institute of Technology).14 indexed citations
15.
Smeaton, Alan F., et al.. (2006). The CDVPlex biometric cinema: sensing physiological responses to emotional stimuli in film. Arrow@dit (Dublin Institute of Technology).4 indexed citations
16.
Adamek, Tomasz, Noel E. O’Connor, & Noel Murphy. (2005). Region-based segmentation of images using syntactic visual features. Arrow@dit (Dublin Institute of Technology).29 indexed citations
17.
O’Connor, Noel E., et al.. (2005). Associating low-level features with semantic concepts using video objects and relevance feedback. Arrow@dit (Dublin Institute of Technology).6 indexed citations
18.
O’Connor, Noel E., et al.. (2004). Facial features and appearance-based classification for face detection in color images. Arrow@dit (Dublin Institute of Technology).1 indexed citations
19.
Borgne, Hervé Le, et al.. (2004). Relating visual and semantic image descriptors. Arrow@dit (Dublin Institute of Technology).6 indexed citations
20.
O’Connor, Noel E., et al.. (2003). MPEG-4 tools and applications: an overview. Arrow@dit (Dublin Institute of Technology).1 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.