I. Torres-Espallardó

799 total citations
48 papers, 629 citations indexed

About

I. Torres-Espallardó is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation and Pulmonary and Respiratory Medicine. According to data from OpenAlex, I. Torres-Espallardó has authored 48 papers receiving a total of 629 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Radiology, Nuclear Medicine and Imaging, 30 papers in Radiation and 16 papers in Pulmonary and Respiratory Medicine. Recurrent topics in I. Torres-Espallardó's work include Medical Imaging Techniques and Applications (29 papers), Radiation Detection and Scintillator Technologies (23 papers) and Radiation Therapy and Dosimetry (14 papers). I. Torres-Espallardó is often cited by papers focused on Medical Imaging Techniques and Applications (29 papers), Radiation Detection and Scintillator Technologies (23 papers) and Radiation Therapy and Dosimetry (14 papers). I. Torres-Espallardó collaborates with scholars based in Spain, Germany and Canada. I. Torres-Espallardó's co-authors include M. Rafecas, Virginia Spanoudaki, J.E. Gillam, Alexandra Buhl, Volkmar Schulz, Thoralf Niendorf, Peter Börnert, Steffen Renisch, Felix M. Mottaghy and Zhiqiang Hu and has published in prestigious journals such as Physics in Medicine and Biology, Behavioural Brain Research and Medical Physics.

In The Last Decade

I. Torres-Espallardó

44 papers receiving 621 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
I. Torres-Espallardó Spain 12 500 301 177 141 42 48 629
Mikio Suga Japan 13 468 0.9× 397 1.3× 181 1.0× 163 1.2× 71 1.7× 68 640
Jacobo Cal-González Spain 16 664 1.3× 282 0.9× 146 0.8× 192 1.4× 61 1.5× 47 789
Mario Cañadas Spain 11 414 0.8× 386 1.3× 136 0.8× 133 0.9× 59 1.4× 24 571
Jeffrey P. Schmall United States 15 705 1.4× 412 1.4× 82 0.5× 216 1.5× 164 3.9× 32 808
D. Strul United Kingdom 15 750 1.5× 507 1.7× 110 0.6× 262 1.9× 111 2.6× 25 839
Pieter Mollet Belgium 13 801 1.6× 430 1.4× 99 0.6× 212 1.5× 178 4.2× 28 968
D.P. McElroy Germany 14 619 1.2× 460 1.5× 73 0.4× 155 1.1× 100 2.4× 27 702
Matthew E. Werner United States 9 903 1.8× 561 1.9× 128 0.7× 255 1.8× 211 5.0× 21 994
Michele Occhipinti Italy 13 421 0.8× 169 0.6× 143 0.8× 103 0.7× 24 0.6× 41 783
Hamid Sabet United States 11 262 0.5× 267 0.9× 56 0.3× 117 0.8× 87 2.1× 58 400

Countries citing papers authored by I. Torres-Espallardó

Since Specialization
Citations

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

Fields of papers citing papers by I. Torres-Espallardó

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by I. Torres-Espallardó. 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 I. Torres-Espallardó. The network helps show where I. Torres-Espallardó may publish in the future.

Co-authorship network of co-authors of I. Torres-Espallardó

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

All Works

20 of 20 papers shown
1.
Hueso-González, F., et al.. (2025). Radiopharmaceutical imaging of phantoms and patients with MACACO III Compton camera. Physica Medica. 132. 104928–104928. 1 indexed citations
2.
Torres-Espallardó, I., et al.. (2024). Amyloid brain-dedicated PET images can diagnose Alzheimer’s pathology with Centiloid Scale. Physica Medica. 121. 103345–103345.
3.
Martí‐Bonmatí, Luis, et al.. (2024). Y-90 PET/MR imaging optimization with a Bayesian penalized likelihood reconstruction algorithm. Physical and Engineering Sciences in Medicine. 47(4). 1397–1413. 1 indexed citations
4.
Adrián‐Ventura, Jesús, et al.. (2024). Relationship between neuroimaging and emotion recognition in mild cognitive impairment patients. Behavioural Brain Research. 461. 114844–114844. 1 indexed citations
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7.
Torres-Espallardó, I., et al.. (2023). Spectral CT and Hounsfield Units: basis for correct interpretation. 140(140(02)). 101–113. 1 indexed citations
8.
9.
Cháfer‐Pericás, Consuelo, et al.. (2023). Imaging diagnosis and emotion recognition relationship in mild cognitive impairment. Alzheimer s & Dementia. 19(S16). 1 indexed citations
10.
Torres-Espallardó, I., Consuelo Cháfer‐Pericás, Leonor Cerdá-Alberich, et al.. (2022). Artificial Intelligence on FDG PET Images Identifies Mild Cognitive Impairment Patients with Neurodegenerative Disease. Journal of Medical Systems. 46(8). 52–52. 7 indexed citations
11.
Mix, Michael, I. Torres-Espallardó, Pilar Belló, et al.. (2022). Comparison of protocols with respiratory-gated (4D) motion compensation in PET/CT: open-source package for quantification of phantom image quality. EJNMMI Physics. 9(1). 80–80. 1 indexed citations
12.
Gonzalez‐Montoro, Andrea, John Barrio, F. Sánchez, et al.. (2020). Pilot performance of a dedicated prostate PET suitable for diagnosis and biopsy guidance. EJNMMI Physics. 7(1). 38–38. 10 indexed citations
13.
Torres-Espallardó, I., et al.. (2020). Assessment of a well-differentiated pancreatic neuroendocrine tumor with 68Ga-DOTATOC PET/CT, 68Ga-DOTATOC PET/MRI and 99mTc-octreotide SPECT/CT. What does each scan provide?. Revista Española de Medicina Nuclear e Imagen Molecular (English Edition). 40(4). 259–260. 1 indexed citations
14.
Carles, M., et al.. (2018). Significance of the impact of motion compensation on the variability of PET image features. Physics in Medicine and Biology. 63(6). 65013–65013. 18 indexed citations
15.
Torres-Espallardó, I.. (2017). PET/TAC: bases físicas, instrumentación y avances. Radiología. 59(5). 431–445. 6 indexed citations
16.
Torres-Espallardó, I., F. Diblen, P. Solevi, et al.. (2015). Evaluation of resistive-plate-chamber-based TOF-PET applied to in-beam particle therapy monitoring. Physics in Medicine and Biology. 60(9). N187–N208. 3 indexed citations
17.
Ortega, Pablo G., I. Torres-Espallardó, F. Cerutti, et al.. (2015). Noise evaluation of Compton camera imaging for proton therapy. Physics in Medicine and Biology. 60(5). 1845–1863. 47 indexed citations
18.
Schulz, Volkmar, I. Torres-Espallardó, Steffen Renisch, et al.. (2010). Automatic, three-segment, MR-based attenuation correction for whole-body PET/MR data. European Journal of Nuclear Medicine and Molecular Imaging. 38(1). 138–152. 245 indexed citations
19.
Delso, Gaspar, I. Torres-Espallardó, Ralf Ladebeck, et al.. (2009). Monte Carlo simulations of the count rate performance of a clinical whole‐body MR/PET scanner. Medical Physics. 36(9Part1). 4126–4135. 16 indexed citations
20.
Torres-Espallardó, I., M. Rafecas, Virginia Spanoudaki, D.P. McElroy, & Sibylle Ziegler. (2008). Effect of inter-crystal scatter on estimation methods for random coincidences and subsequent correction. Physics in Medicine and Biology. 53(9). 2391–2411. 19 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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