Akis Linardos

453 total citations
6 papers, 234 citations indexed

About

Akis Linardos is a scholar working on Artificial Intelligence, Health Informatics and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Akis Linardos has authored 6 papers receiving a total of 234 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Health Informatics and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Akis Linardos's work include Artificial Intelligence in Healthcare and Education (4 papers), AI in cancer detection (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Akis Linardos is often cited by papers focused on Artificial Intelligence in Healthcare and Education (4 papers), AI in cancer detection (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Akis Linardos collaborates with scholars based in Spain, Netherlands and United States. Akis Linardos's co-authors include Karim Lekadir, Kaisar Kushibar, Polyxeni Gkontra, Seán Walsh, Richard Osuala, Oliver Díaz, Matthias Kümmerer, Matthias Bethge, Fred Prior and Petia Radeva and has published in prestigious journals such as Scientific Reports, Medical Image Analysis and Physica Medica.

In The Last Decade

Akis Linardos

6 papers receiving 226 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Akis Linardos Spain	5	119	103	68	51	23	6	234
Xuemin Zhu China	4	127 1.1×	152 1.5×	42 0.6×	35 0.7×	35 1.5×	5	297
Roger Schaer Switzerland	10	60 0.5×	74 0.7×	41 0.6×	26 0.5×	44 1.9×	18	191
Zuojin Hu China	6	81 0.7×	68 0.7×	65 1.0×	16 0.3×	18 0.8×	19	217
Farida Mohsen Qatar	7	125 1.1×	99 1.0×	32 0.5×	61 1.2×	25 1.1×	17	316
Lourdes Durán-López Spain	9	160 1.3×	143 1.4×	64 0.9×	22 0.4×	38 1.7×	23	288
Mouayad Masalkhi Ireland	13	53 0.4×	156 1.5×	34 0.5×	107 2.1×	23 1.0×	53	402
Veena Mayya India	9	67 0.6×	148 1.4×	166 2.4×	12 0.2×	22 1.0×	32	374
Niyaz Ahmad Wani India	6	129 1.1×	116 1.1×	28 0.4×	30 0.6×	14 0.6×	17	270
Thierry Urruty France	9	51 0.4×	66 0.6×	122 1.8×	10 0.2×	23 1.0×	23	251

Countries citing papers authored by Akis Linardos

Since Specialization

Citations

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

Fields of papers citing papers by Akis Linardos

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akis Linardos

This figure shows the co-authorship network connecting the top 25 collaborators of Akis Linardos. A scholar is included among the top collaborators of Akis Linardos 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 Akis Linardos. Akis Linardos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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6 of 6 papers shown

1.

Linardos, Akis, Kaisar Kushibar, Seán Walsh, Polyxeni Gkontra, & Karim Lekadir. (2022). Federated learning for multi-center imaging diagnostics: a simulation study in cardiovascular disease. Scientific Reports. 12(1). 3551–3551. 66 indexed citations

2.

Osuala, Richard, Kaisar Kushibar, Akis Linardos, et al.. (2022). Data synthesis and adversarial networks: A review and meta-analysis in cancer imaging. Medical Image Analysis. 84. 102704–102704. 41 indexed citations

3.

Linardos, Akis, et al.. (2021). DeepGaze IIE: Calibrated prediction in and out-of-domain for state-of-the-art saliency modeling. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 12899–12908. 40 indexed citations

4.

Osuala, Richard, Kaisar Kushibar, Akis Linardos, et al.. (2021). A Review of Generative Adversarial Networks in Cancer Imaging: New Applications, New Solutions.. Spiral (Imperial College London). 8 indexed citations

5.

Díaz, Oliver, Kaisar Kushibar, Richard Osuala, et al.. (2021). Data preparation for artificial intelligence in medical imaging: A comprehensive guide to open-access platforms and tools. Physica Medica. 83. 25–37. 78 indexed citations

6.

Osuala, Richard, Kaisar Kushibar, Akis Linardos, et al.. (2021). Data synthesis and adversarial networks: A review and meta-analysis in cancer imaging. arXiv (Cornell University). 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.

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