T. A. Joyce

1.8k citations
20 papers · 692 · h-index 10

Impact in

Papers in

T. A. Joyce

18 papers receiving 672 citations

Peers

T. A. Joyce
Comparison fields: 5 of 96
  • Computer Vision and Pattern Recognition 342
  • Radiology, Nuclear Medicine and Imaging 161
  • Artificial Intelligence 193
  • Control and Systems Engineering 131
  • Neurology 40
Replace Moumen El-Melegy with:
Moumen El-Melegy Egypt
Shanlin Sun China
Alfonso Rojas‐Domínguez Mexico
Leandro A. Passos Brazil
Saeed Sadri Iran
Ghada M. El‐Banby Egypt
Alaaeldin El-Nouby Sweden
Jingye Cai China
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Citations per field
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Citations per year

Countries citing papers authored by T. A. Joyce

Since Specialization
Citations

This map shows the geographic impact of T. A. Joyce'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 T. A. Joyce with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. A. Joyce more than expected).

Fields of papers citing papers by T. A. Joyce

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. A. Joyce. 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 T. A. Joyce. The network helps show where T. A. Joyce may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2017185
2 2015177
3 201997
4 201775
5 202157
6 202123
7
Deep Multi-Class Segmentation Without Ground-Truth Labels
201823
8 202113
9 201713
10 202213
11 20234
12 20212
13 20102
14 20242
15
Factorised Representation Learning in Cardiac Image Analysis.
20192
16
Mexican Archæology, an Introduction to the Archæology of the Mexican and Mayan Civilizations of Pre-Spanish America
20102
17
Handbook to the Ethnographical Collections
20141
18
South American Archæology; an Introduction to the Archæology of the South American Continent With Special Reference to the Early History of Peru
20091
19 20130
20 20050

About T. A. Joyce

T. A. Joyce is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Visual Arts and Performing Arts and Computational Theory and Mathematics, having authored 20 papers that have together received 692 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (4 papers), Generative Adversarial Networks and Image Synthesis (3 papers), Latin American history and culture (3 papers), Evolutionary Algorithms and Applications (2 papers), Historical Studies in Central America (2 papers), Metaheuristic Optimization Algorithms Research (2 papers), Advanced Multi-Objective Optimization Algorithms (2 papers) and AI in cancer detection (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (342 citations), Radiology, Nuclear Medicine and Imaging (161 citations), Artificial Intelligence (193 citations), Control and Systems Engineering (131 citations) and Neurology (40 citations). T. A. Joyce has collaborated with scholars based in Switzerland, United Kingdom and Italy. Frequent co-authors include Sotirios A. Tsaftaris, Agisilaos Chartsias, Mario Valerio Giuffrida, Taku Komura, Jun Saito, Daniel Holden, J. Michael Herrmann, Sebastian Kozerke, Michelle C. Williams and Scott Semple. Their work appears in journals such as Medical Image Analysis, Journal of Cardiovascular Magnetic Resonance, European Heart Journal - Cardiovascular Imaging, IEEE Transactions on Medical Imaging and Magnetic Resonance Imaging.

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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