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.
Metrics for evaluating 3D medical image segmentation: analysis, selection, and tool
20151.7k citationsAbdel Aziz Taha, Allan HanburyBMC Medical Imagingprofile →
Affective image classification using features inspired by psychology and art theory
This map shows the geographic impact of Allan Hanbury'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 Allan Hanbury with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Allan Hanbury more than expected).
This network shows the impact of papers produced by Allan Hanbury. 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 Allan Hanbury. The network helps show where Allan Hanbury may publish in the future.
Co-authorship network of co-authors of Allan Hanbury
This figure shows the co-authorship network connecting the top 25 collaborators of Allan Hanbury.
A scholar is included among the top collaborators of Allan Hanbury 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 Allan Hanbury. Allan Hanbury is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Hofstätter, Sebastian & Allan Hanbury. (2020). Evaluating Transformer-Kernel Models at TREC Deep Learning 2020.. Text REtrieval Conference.1 indexed citations
5.
Andersson, Linda, et al.. (2018). Medical Entity Corpus with PICO elements and Sentiment Analysis. Language Resources and Evaluation.3 indexed citations
6.
Rekabsaz, Navid, et al.. (2016). Standard Test Collection for English-Persian Cross-Lingual Word Sense Disambiguation. Language Resources and Evaluation. 4176–4179.1 indexed citations
Taha, Abdel Aziz & Allan Hanbury. (2015). Metrics for evaluating 3D medical image segmentation: analysis, selection, and tool. BMC Medical Imaging. 15(1). 29–29.1681 indexed citations breakdown →
Müller, Henning, Liadh Kelly, Wei Li, et al.. (2014). Task 3 : User-centred health information retrieval :.5 indexed citations
11.
Palotti, João, Navid Rekabsaz, Linda Anderson, & Allan Hanbury. (2014). TUW @ TREC Clinical Decision Support Track. Text REtrieval Conference.7 indexed citations
12.
Piroi, Florina, Mihai Lupu, & Allan Hanbury. (2013). Passage Retrieval Starting from Patent Claims A Clef-Ip 2013 Task Overview.. CLEF (Working Notes).1 indexed citations
13.
Goeuriot, Lorraine, Gareth J. F. Jones, Liadh Kelly, et al.. (2013). ShARe/CLEF eHealth Evaluation Lab 2013, Task 3: Information Retrieval to Address Patients' Questions when Reading Clinical Reports. QUT ePrints (Queensland University of Technology).26 indexed citations
14.
Goeuriot, Lorraine, et al.. (2012). Supporting collaborative improvement of resources in the Khresmoi health information system. The Journal of Clinical Psychiatry. 51 Suppl B. 37–9.2 indexed citations
15.
Lupu, Mihai, Andreas Rauber, & Allan Hanbury. (2011). Proceedings of the 4th workshop on Patent information retrieval.1 indexed citations
16.
Bhatti, Naeem & Allan Hanbury. (2011). Granulometry based detection of junction and end points in patent drawings. 307–312.1 indexed citations
17.
Khan, Rehanullah, Allan Hanbury, & Julian Stöttinger. (2010). Augmentation of Skin Segmentation.. IPCV. 473–479.1 indexed citations
Kropatsch, Walter G., Robert Sablatnig, & Allan Hanbury. (2005). Pattern Recognition: 27th DAGM Symposium, Vienna, Austria, August 31 - September 2, 2005, Proceedings (Lecture Notes in Computer Science). Springer eBooks.1 indexed citations
20.
Rosenhahn, Bodo, Thomas Brox, Joachim Weickert, et al.. (2005). Three-Dimensional Shape Knowledge for Joint Image Segmentation and Pose Estimation.. Max Planck Institute for Plasma Physics. 109–116.1 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.