Ermanno Cordelli

732 total citations
39 papers, 414 citations indexed

About

Ermanno Cordelli is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Ermanno Cordelli has authored 39 papers receiving a total of 414 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Radiology, Nuclear Medicine and Imaging, 20 papers in Artificial Intelligence and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Ermanno Cordelli's work include Radiomics and Machine Learning in Medical Imaging (20 papers), AI in cancer detection (15 papers) and MRI in cancer diagnosis (7 papers). Ermanno Cordelli is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (20 papers), AI in cancer detection (15 papers) and MRI in cancer diagnosis (7 papers). Ermanno Cordelli collaborates with scholars based in Italy, Sweden and United States. Ermanno Cordelli's co-authors include Paolo Soda, Rosa Sicilia, Giulio Iannello, Sara Ramella, Bruno Beomonte Zobel, Eliodoro Faiella, Domiziana Santucci, Valerio Guarrasi, Carlo de Felice and Michele Fiore and has published in prestigious journals such as PLoS ONE, IEEE Access and BMC Bioinformatics.

In The Last Decade

Ermanno Cordelli

38 papers receiving 410 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ermanno Cordelli Italy 14 232 156 109 43 37 39 414
Yoshiko Yamashita Japan 12 220 0.9× 121 0.8× 187 1.7× 48 1.1× 55 1.5× 39 517
Ben Glover United Kingdom 14 191 0.8× 73 0.5× 96 0.9× 65 1.5× 65 1.8× 25 617
Simon John Christoph Soerensen United States 11 229 1.0× 154 1.0× 240 2.2× 63 1.5× 22 0.6× 26 415
Antonio Foncubierta–Rodríguez Switzerland 13 233 1.0× 159 1.0× 67 0.6× 72 1.7× 55 1.5× 29 532
Nick Weiss Germany 10 151 0.7× 176 1.1× 45 0.4× 18 0.4× 39 1.1× 16 353
Viviana Benfante Italy 13 192 0.8× 66 0.4× 107 1.0× 92 2.1× 34 0.9× 21 390
Vipul Baxi United States 6 205 0.9× 206 1.3× 63 0.6× 36 0.8× 47 1.3× 16 446
Anhua Li China 11 218 0.9× 250 1.6× 91 0.8× 56 1.3× 49 1.3× 16 508
Hong‐Ming Tsai Taiwan 11 189 0.8× 155 1.0× 81 0.7× 53 1.2× 15 0.4× 33 648
Xiaoli Tang China 11 165 0.7× 51 0.3× 87 0.8× 52 1.2× 19 0.5× 29 429

Countries citing papers authored by Ermanno Cordelli

Since Specialization
Citations

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

Fields of papers citing papers by Ermanno Cordelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ermanno Cordelli

This figure shows the co-authorship network connecting the top 25 collaborators of Ermanno Cordelli. A scholar is included among the top collaborators of Ermanno Cordelli 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 Ermanno Cordelli. Ermanno Cordelli 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.
Cordelli, Ermanno, et al.. (2024). Translating Image XAI to Multivariate Time Series. IEEE Access. 12. 27484–27500. 4 indexed citations
2.
Santucci, Domiziana, et al.. (2024). Cross-Modality Calibration in Multi-Input Network for Axillary Lymph Node Metastasis Evaluation. IEEE Transactions on Artificial Intelligence. 5(9). 4823–4836.
3.
Cordelli, Ermanno, Paolo Soda, Christian Salvatore, et al.. (2024). Machine learning predicts pulmonary Long Covid sequelae using clinical data. BMC Medical Informatics and Decision Making. 24(1). 359–359. 2 indexed citations
4.
Cordelli, Ermanno, Rosa Sicilia, Edy Ippolito, et al.. (2023). RadioPathomics: Multimodal Learning in Non-Small Cell Lung Cancer for Adaptive Radiotherapy. IEEE Access. 11. 47563–47578. 18 indexed citations
5.
Greco, Carlo, Ermanno Cordelli, Giovanna Sabarese, et al.. (2023). Deep pathomics: A new image-based tool for predicting response to treatment in stage III non-small cell lung cancer. PLoS ONE. 18(11). e0294259–e0294259. 6 indexed citations
6.
Prata, Francesco, Umberto Anceschi, Ermanno Cordelli, et al.. (2023). Radiomic Machine-Learning Analysis of Multiparametric Magnetic Resonance Imaging in the Diagnosis of Clinically Significant Prostate Cancer: New Combination of Textural and Clinical Features. Current Oncology. 30(2). 2021–2031. 18 indexed citations
7.
Cordelli, Ermanno, et al.. (2022). PyTrack: A Map-Matching-Based Python Toolbox for Vehicle Trajectory Reconstruction. IEEE Access. 10. 112713–112720. 7 indexed citations
8.
Faiella, Eliodoro, Francesco Esperto, Ermanno Cordelli, et al.. (2022). Quantib Prostate Compared to an Expert Radiologist for the Diagnosis of Prostate Cancer on mpMRI: A Single-Center Preliminary Study. Tomography. 8(4). 2010–2019. 16 indexed citations
9.
Guarrasi, Valerio, Ermanno Cordelli, Rosa Sicilia, et al.. (2022). A Multimodal Ensemble Driven by Multiobjective Optimisation to Predict Overall Survival in Non-Small-Cell Lung Cancer. Journal of Imaging. 8(11). 298–298. 18 indexed citations
10.
Santucci, Domiziana, Eliodoro Faiella, Ermanno Cordelli, et al.. (2022). CNN-Based Approaches with Different Tumor Bounding Options for Lymph Node Status Prediction in Breast DCE-MRI. Cancers. 14(19). 4574–4574. 14 indexed citations
11.
Santucci, Domiziana, Eliodoro Faiella, Ermanno Cordelli, et al.. (2022). 3T-MRI Artificial Intelligence in Patients with Invasive Breast Cancer to Predict Distant Metastasis Status: A Pilot Study. Cancers. 15(1). 36–36. 2 indexed citations
12.
Santucci, Domiziana, Eliodoro Faiella, Ermanno Cordelli, et al.. (2021). The Impact of Tumor Edema on T2-Weighted 3T-MRI Invasive Breast Cancer Histological Characterization: A Pilot Radiomics Study. Cancers. 13(18). 4635–4635. 25 indexed citations
13.
Santucci, Domiziana, Eliodoro Faiella, Ermanno Cordelli, et al.. (2021). 3T MRI-Radiomic Approach to Predict for Lymph Node Status in Breast Cancer Patients. Cancers. 13(9). 2228–2228. 26 indexed citations
14.
Cordelli, Ermanno, Paolo Soda, & Giulio Iannello. (2021). Visual4DTracker: a tool to interact with 3D + t image stacks. BMC Bioinformatics. 22(1). 53–53. 1 indexed citations
15.
Guarrasi, Valerio, Natascha Claudia D’Amico, Rosa Sicilia, Ermanno Cordelli, & Paolo Soda. (2021). Pareto optimization of deep networks for COVID-19 diagnosis from chest X-rays. Pattern Recognition. 121. 108242–108242. 24 indexed citations
16.
Cordelli, Ermanno, Rosa Sicilia, Paolo Matteucci, et al.. (2021). Deep Reinforcement Learning for Fractionated Radiotherapy in Non-Small Cell Lung Carcinoma. Artificial Intelligence in Medicine. 119. 102137–102137. 16 indexed citations
17.
D’Amico, Natascha Claudia, Rosa Sicilia, Ermanno Cordelli, et al.. (2020). Radiomics-Based Prediction of Overall Survival in Lung Cancer Using Different Volumes-Of-Interest. Applied Sciences. 10(18). 6425–6425. 13 indexed citations
18.
Cordelli, Ermanno, Giuseppe Maulucci, Marco De Spirito, et al.. (2018). A decision support system for type 1 diabetes mellitus diagnostics based on dual channel analysis of red blood cell membrane fluidity. Computer Methods and Programs in Biomedicine. 162. 263–271. 27 indexed citations
19.
Ramella, Sara, Michele Fiore, Carlo Greco, et al.. (2018). A radiomic approach for adaptive radiotherapy in non-small cell lung cancer patients. PLoS ONE. 13(11). e0207455–e0207455. 48 indexed citations
20.
Maulucci, Giuseppe, Ermanno Cordelli, Alessandro Rizzi, et al.. (2017). Phase separation of the plasma membrane in human red blood cells as a potential tool for diagnosis and progression monitoring of type 1 diabetes mellitus. PLoS ONE. 12(9). e0184109–e0184109. 22 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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