Daniel Jiménez‐Carretero
- Radiology, Nuclear Medicine and Imaging top 10%
- Molecular Biology
- Pulmonary and Respiratory Medicine
- Computer Vision and Pattern Recognition top 10%
- Immunology
- Co-authors
- María J. Ledesma‐CarbayoRaúl San Jośe EstéparMarı́a C. MontoyaDavid Bermejo-PeláezPietro NardelliFarbod N. RahaghiGeorge R. WashkoMiguel Torres
- Topics
- Lung Cancer Diagnosis and Treatment (5 papers)Radiomics and Machine Learning in Medical Imaging (5 papers)Medical Image Segmentation Techniques (4 papers)
- Partner nations
- SpainUnited StatesCzechia
In The Last Decade
Daniel Jiménez‐Carretero
35 papers receiving 564 citations
Peers
Comparison fields: 5 of 119
- Radiology, Nuclear Medicine and Imaging 155
- Molecular Biology 105
- Pulmonary and Respiratory Medicine 100
- Computer Vision and Pattern Recognition 94
- Immunology 75
Countries citing papers authored by Daniel Jiménez‐Carretero
This map shows the geographic impact of Daniel Jiménez‐Carretero'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 Daniel Jiménez‐Carretero with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Jiménez‐Carretero more than expected).
Fields of papers citing papers by Daniel Jiménez‐Carretero
This network shows the impact of papers produced by Daniel Jiménez‐Carretero. 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 Daniel Jiménez‐Carretero. The network helps show where Daniel Jiménez‐Carretero may publish in the future.
Co-authorship network of co-authors of Daniel Jiménez‐Carretero
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Jiménez‐Carretero. A scholar is included among the top collaborators of Daniel Jiménez‐Carretero 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 Daniel Jiménez‐Carretero. Daniel Jiménez‐Carretero is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 5 | |
| 11 | 3D multirater RCNN for multimodal multiclass detection and characterisation of extremely small objects | 1 |
| 12 | 25 | |
| 13 | 115 | |
| 14 | 51 | |
| 15 | 8 | |
| 16 | 67 | |
| 17 | 9 | |
| 18 | A real time ECG preprocessing system based on ADS1298 | 7 |
| 19 | Segmentation of RV in 4D cardiac MR volumes using region-merging graph cuts | 19 |
| 20 | 16 |
About Daniel Jiménez‐Carretero
Daniel Jiménez‐Carretero is a scholar working on Biophysics, Internal Medicine and Virology, having authored 36 papers that have together received 575 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (5 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Medical Image Segmentation Techniques (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (155 citations), Internal Medicine (19 citations) and Biophysics (27 citations). Daniel Jiménez‐Carretero has collaborated with scholars based in Spain, United States and Czechia. Frequent co-authors include María J. Ledesma‐Carbayo, Raúl San Jośe Estépar, Marı́a C. Montoya, David Bermejo-Peláez, Pietro Nardelli, Farbod N. Rahaghi, George R. Washko, Miguel Torres, A. Santos and Cristina Claverı́a. Their work appears in journals such as Nature Communications, Bioinformatics and The Journal of Immunology.
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.