G. Gargano

36 total papers · 907 total citations
15 papers, 282 citations indexed

About

G. Gargano is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Artificial Intelligence. According to data from OpenAlex, G. Gargano has authored 15 papers receiving a total of 282 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Pulmonary and Respiratory Medicine and 6 papers in Artificial Intelligence. Recurrent topics in G. Gargano's work include Lung Cancer Diagnosis and Treatment (7 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Medical Imaging Techniques and Applications (5 papers). G. Gargano is often cited by papers focused on Lung Cancer Diagnosis and Treatment (7 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Medical Imaging Techniques and Applications (5 papers). G. Gargano collaborates with scholars based in Italy and Cuba. G. Gargano's co-authors include P. Cerello, R. Bellotti, Maria Evelina Fantacci, Francesco De Carlo, S.C. Cheran, Alessandra Retico, Bruno Golosio, I. De Mitri, E. López Torres and Giovanni Luca Masala and has published in prestigious journals such as BMC Bioinformatics, Pattern Recognition and Medical Physics.

In The Last Decade

G. Gargano

14 papers receiving 255 citations

Author Peers

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

Author						Papers	Cites
G. Gargano	228	202	93	52	23	15	282
Keizo Kanazawa	221 1.0×	201 1.0×	75 0.8×	47 0.9×	20 0.9×	7	282
Sunyi Zheng	197 0.9×	133 0.7×	95 1.0×	32 0.6×	10 0.4×	28	285
S.C. Cheran	167 0.7×	102 0.5×	144 1.5×	95 1.8×	22 1.0×	13	259
Ahmed Shaffie	231 1.0×	135 0.7×	108 1.2×	37 0.7×	25 1.1×	28	308
Yao‐Sian Huang	204 0.9×	76 0.4×	156 1.7×	50 1.0×	38 1.7×	12	287
Nariman Jahani	192 0.8×	111 0.5×	45 0.5×	22 0.4×	22 1.0×	11	304
Akiko Kano	216 0.9×	157 0.8×	95 1.0×	53 1.0×	8 0.3×	13	305
Xinpeng Xie	151 0.7×	66 0.3×	106 1.1×	51 1.0×	12 0.5×	10	270
R. Magro	181 0.8×	119 0.6×	181 1.9×	114 2.2×	18 0.8×	16	319
Erdi Çallı	265 1.2×	102 0.5×	104 1.1×	33 0.6×	8 0.3×	8	324

Countries citing papers authored by G. Gargano

Since Specialization

Citations

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

Fields of papers citing papers by G. Gargano

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Gargano

This figure shows the co-authorship network connecting the top 25 collaborators of G. Gargano. A scholar is included among the top collaborators of G. Gargano 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 G. Gargano. G. Gargano 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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