E. López Torres

11.4k total citations
10 papers, 219 citations indexed

About

E. López Torres is a scholar working on Artificial Intelligence, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, E. López Torres has authored 10 papers receiving a total of 219 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Pulmonary and Respiratory Medicine and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in E. López Torres's work include AI in cancer detection (3 papers), Medical Imaging Techniques and Applications (2 papers) and Lung Cancer Diagnosis and Treatment (2 papers). E. López Torres is often cited by papers focused on AI in cancer detection (3 papers), Medical Imaging Techniques and Applications (2 papers) and Lung Cancer Diagnosis and Treatment (2 papers). E. López Torres collaborates with scholars based in Italy, Cuba and Ecuador. E. López Torres's co-authors include Maria Evelina Fantacci, P. Cerello, F. Pennazio, N. Camarlinghi, C. Peroni, E. Fiorina, M. Saletta, S. Bagnasco, Francesco De Carlo and P. Oliva and has published in prestigious journals such as Medical Physics, Radiotherapy and Oncology and IEEE Transactions on Nuclear Science.

In The Last Decade

E. López Torres

8 papers receiving 197 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
E. López Torres Italy	5	128	100	88	63	15	10	219
S.C. Cheran Italy	9	167 1.3×	143 1.4×	102 1.2×	94 1.5×	5 0.3×	12	258
Lilla Boroczky United States	9	168 1.3×	113 1.1×	156 1.8×	125 2.0×	4 0.3×	30	358
A. Lauria Italy	4	65 0.5×	101 1.0×	20 0.2×	64 1.0×	4 0.3×	7	137
Rafael Llobet Spain	11	91 0.7×	175 1.8×	100 1.1×	109 1.7×	7 0.5×	35	305
Hsuan-Ting Chang Taiwan	8	61 0.5×	49 0.5×	96 1.1×	86 1.4×	5 0.3×	35	293
Nor Aniza Azmi Malaysia	5	198 1.5×	199 2.0×	37 0.4×	69 1.1×	2 0.1×	15	309
Jin Uk Heo United States	4	199 1.6×	139 1.4×	22 0.3×	48 0.8×	2 0.1×	5	280
Gabriel Efrain Humpire Mamani Netherlands	5	86 0.7×	78 0.8×	15 0.2×	141 2.2×	13 0.9×	6	282
Xiaodan Sui China	8	128 1.0×	49 0.5×	19 0.2×	81 1.3×	13 0.9×	20	240
Hemin Ali Qadir Norway	8	205 1.6×	181 1.8×	45 0.5×	153 2.4×	5 0.3×	18	401

Countries citing papers authored by E. López Torres

Since Specialization

Citations

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

Fields of papers citing papers by E. López Torres

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E. López Torres. 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 E. López Torres. The network helps show where E. López Torres may publish in the future.

Co-authorship network of co-authors of E. López Torres

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

All Works

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10 of 10 papers shown

Torres, E. López, et al.. (2025). Artificial Intelligence Applied to Epilepsy: A Bibliometric Analysis of Machine Learning Techniques for Early Seizure Detection. 1–7.

Traverso, Alberto, E. López Torres, S. Bagnasco, et al.. (2016). Clinical validation of the M5L lung computer-assisted detection system. Physica Medica. 32. 94–94. 1 indexed citations

Torres, E. López, Alberto Traverso, S. Bagnasco, et al.. (2016). Clinical validation of the M5L lung Computer-Assisted Detection system. Radiotherapy and Oncology. 118. S22–S23. 1 indexed citations

Torres, E. López, E. Fiorina, F. Pennazio, et al.. (2015). Large scale validation of the M5L lung CAD on heterogeneous CT datasets. Medical Physics. 42(4). 1477–1489. 86 indexed citations

Guevara, P. Ladrón de, et al.. (2009). Simulation study of χ c →J/Ψ+γ detection with J/Ψ→e + e − in pp collisions in the ALICE experiment at LHC. The European Physical Journal C. 61(4). 915–915.

Cascio, Donato, F. Fauci, R. Magro, et al.. (2006). Mammogram Segmentation by Contour Searching and Mass Lesions Classification With Neural Network. IEEE Transactions on Nuclear Science. 53(5). 2827–2833. 88 indexed citations

Bagnasco, S., Francesco Beltrame, Isabella Castiglioni, et al.. (2006). Early diagnosis of Alzheimer's disease using a grid implementation of statistical parametric mapping analysis.. PubMed. 120. 69–81. 9 indexed citations

Fauci, F., S. Bagnasco, R. Bellotti, et al.. (2005). Mammogram segmentation by contour searching and massive lesion classification with neural network. IEEE Symposium Conference Record Nuclear Science 2004.. 5. 2695–2699. 13 indexed citations

Bottigli, U., P. Cerello, P. Delogu, et al.. (2003). GPCALMA, a mammographic CAD in a GRID connection. International Congress Series. 1256. 944–949. 3 indexed citations

10.

Torres, E. López, et al.. (1998). SAX, software for the analysis of x-ray fluorescence spectra. X-Ray Spectrometry. 27(3). 161–165. 18 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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