Erini Makariou

68 total papers · 1.2k total citations
33 papers, 893 citations indexed

About

Erini Makariou is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Pathology and Forensic Medicine. According to data from OpenAlex, Erini Makariou has authored 33 papers receiving a total of 893 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Surgery and 9 papers in Pathology and Forensic Medicine. Recurrent topics in Erini Makariou's work include AI in cancer detection (8 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Spine and Intervertebral Disc Pathology (4 papers). Erini Makariou is often cited by papers focused on AI in cancer detection (8 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Spine and Intervertebral Disc Pathology (4 papers). Erini Makariou collaborates with scholars based in United States and Italy. Erini Makariou's co-authors include Dilys M. Parry, Michael E. Baser, Jeffrey M. Hoeg, Klaus A. Dugi, Irwin M. Feuerstein, Hartmut Schmidt, Suvimol Hill, Marcela Böhm-Vélez, Lora D. Barke and Stephen R. Grobmyer and has published in prestigious journals such as Radiology, Journal of neurosurgery and The American Journal of Cardiology.

In The Last Decade

Erini Makariou

30 papers receiving 873 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Erini Makariou	249	247	186	181	174	33	893
Sandra Canale	294 1.2×	137 0.6×	119 0.6×	65 0.4×	77 0.4×	36	706
See‐Ying Chiou	375 1.5×	127 0.5×	383 2.1×	82 0.5×	94 0.5×	42	1000
Gerd Schueller	255 1.0×	141 0.6×	322 1.7×	156 0.9×	98 0.6×	43	1.0k
Pierluigi Rinaldi	457 1.8×	185 0.7×	289 1.6×	85 0.5×	89 0.5×	45	986
Yee Liang Thian	294 1.2×	212 0.9×	208 1.1×	160 0.9×	57 0.3×	44	798
Daniel Fadaei Fouladi	395 1.6×	97 0.4×	369 2.0×	328 1.8×	130 0.7×	65	1.0k
Huan Liu	689 2.8×	172 0.7×	93 0.5×	187 1.0×	206 1.2×	61	965
Michelle Melany	243 1.0×	91 0.4×	215 1.2×	80 0.4×	116 0.7×	20	868
Jing Qi	543 2.2×	210 0.9×	88 0.5×	264 1.5×	72 0.4×	45	918
Guglielmo Ferrari	183 0.7×	73 0.3×	196 1.1×	236 1.3×	152 0.9×	44	764

Countries citing papers authored by Erini Makariou

Since Specialization

Citations

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

Fields of papers citing papers by Erini Makariou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erini Makariou

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

All Works

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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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