Iñigo Bermejo

752 total citations
55 papers, 422 citations indexed

About

Iñigo Bermejo is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Iñigo Bermejo has authored 55 papers receiving a total of 422 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 15 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Iñigo Bermejo's work include Radiomics and Machine Learning in Medical Imaging (15 papers), Lung Cancer Diagnosis and Treatment (7 papers) and AI in cancer detection (6 papers). Iñigo Bermejo is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (15 papers), Lung Cancer Diagnosis and Treatment (7 papers) and AI in cancer detection (6 papers). Iñigo Bermejo collaborates with scholars based in Netherlands, United Kingdom and Belgium. Iñigo Bermejo's co-authors include André Dekker, Leonard Wee, Junhua Chen, David A. Jaffray, Chong Zhang, Katy Cooper, Ruth Wong, Jean Hamilton, Zhenwei Shi and Hazel Squires and has published in prestigious journals such as Scientific Reports, International Journal of Radiation Oncology*Biology*Physics and Physics in Medicine and Biology.

In The Last Decade

Iñigo Bermejo

46 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
Iñigo Bermejo Netherlands 11 147 109 65 61 53 55 422
Margaret Pain United States 15 203 1.4× 147 1.3× 134 2.1× 71 1.2× 61 1.2× 31 800
Morgan P. McBee United States 8 258 1.8× 99 0.9× 90 1.4× 108 1.8× 85 1.6× 16 492
Brent J. Liu United States 10 190 1.3× 71 0.7× 28 0.4× 90 1.5× 85 1.6× 74 550
Giancarlo Oliva Italy 16 259 1.8× 69 0.6× 67 1.0× 67 1.1× 92 1.7× 52 678
K. Elizabeth Hawk United States 10 329 2.2× 107 1.0× 139 2.1× 58 1.0× 101 1.9× 18 569
Maurizio Cè Italy 12 276 1.9× 100 0.9× 103 1.6× 132 2.2× 127 2.4× 42 531
Anna Seehofnerová United States 8 139 0.9× 129 1.2× 109 1.7× 48 0.8× 72 1.4× 12 412
Arjun B. Sood United States 10 193 1.3× 81 0.7× 47 0.7× 37 0.6× 14 0.3× 15 464
Alanna Vial Australia 5 242 1.6× 117 1.1× 84 1.3× 62 1.0× 87 1.6× 8 440
Georgios C. Manikis Greece 15 489 3.3× 136 1.2× 23 0.4× 73 1.2× 72 1.4× 65 795

Countries citing papers authored by Iñigo Bermejo

Since Specialization
Citations

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

Fields of papers citing papers by Iñigo Bermejo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Iñigo Bermejo

This figure shows the co-authorship network connecting the top 25 collaborators of Iñigo Bermejo. A scholar is included among the top collaborators of Iñigo Bermejo 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 Iñigo Bermejo. Iñigo Bermejo 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.
2.
Dekker, André, et al.. (2025). Exploring Safety of Down-Titrating Diuretics in Heart Failure Management. European Journal of Heart Failure. 27(8). 1393–1399.
3.
Wee, Leonard, et al.. (2025). Multinomial Classification Certainty: a new uncertainty metric for multinomial outcome prediction. Progress in Artificial Intelligence.
4.
Soest, Johan van, et al.. (2025). A critique of current approaches to privacy in machine learning. Ethics and Information Technology. 27(3). 32–32.
5.
Zegers, Catharina M.L., et al.. (2024). Developing an ICD-10 Coding Assistant: Pilot Study Using RoBERTa and GPT-4 for Term Extraction and Description-Based Code Selection. JMIR Formative Research. 9. e60095–e60095. 2 indexed citations
6.
Gupta, Prashant, et al.. (2024). Development and validation of multicentre study on novel Artificial Intelligence-based Cardiovascular Risk Score (AICVD). Family Medicine and Community Health. 12(Suppl 1). e002340–e002340. 4 indexed citations
7.
Hansen, Torben Frøstrup, Lars Henrik Jensen, Claus Lohman Brasen, et al.. (2024). A Bayesian Network Approach to Lung Cancer Screening: Assessing the Impact of Data Quantity, Quality, and the Combination of Data from Danish Electronic Health Records. Cancers. 16(23). 3989–3989.
8.
Jaarsma, Eva A., Esther E. Bron, Frank J. Wolters, et al.. (2024). Data harmonization and federated learning for multi-cohort dementia research using the OMOP common data model: A Netherlands consortium of dementia cohorts case study. Journal of Biomedical Informatics. 155. 104661–104661. 8 indexed citations
9.
10.
Chen, Junhua, Leonard Wee, André Dekker, & Iñigo Bermejo. (2023). Using 3D deep features from CT scans for cancer prognosis based on a video classification model: A multi‐dataset feasibility study. Medical Physics. 50(7). 4220–4233. 6 indexed citations
11.
Bermejo, Iñigo, Maaike Berbée, Maria Antonietta Gambacorta, et al.. (2023). MO-0059 Prediction of pathological response to chemo-radiotherapy in rectal cancer using federated learning. Radiotherapy and Oncology. 182. S27–S27. 1 indexed citations
12.
Wee, Leonard, et al.. (2023). Image based prognosis in head and neck cancer using convolutional neural networks: a case study in reproducibility and optimization. Scientific Reports. 13(1). 18176–18176. 4 indexed citations
13.
14.
Bermejo, Iñigo, et al.. (2022). Prediction of Radiotherapy Compliance in Elderly Cancer Patients Using an Internally Validated Decision Tree. Cancers. 14(24). 6116–6116. 4 indexed citations
15.
Kalendralis, Petros, Richard Canters, Alan M. Kalet, et al.. (2021). External Validation of a Bayesian Network for Error Detection in Radiotherapy Plans. IEEE Transactions on Radiation and Plasma Medical Sciences. 6(2). 200–206. 5 indexed citations
16.
17.
Uttley, Lesley, Iñigo Bermejo, Shijie Ren, et al.. (2018). Tofacitinib for Treating Rheumatoid Arthritis After the Failure of Disease-Modifying Anti-rheumatic Drugs: An Evidence Review Group Perspective of a NICE Single Technology Appraisal. PharmacoEconomics. 36(9). 1063–1072. 6 indexed citations
18.
Bermejo, Iñigo, et al.. (2017). Computer-assisted CI fitting: Is the learning capacity of the intelligent agent FOX beneficial for speech understanding?. Cochlear Implants International. 18(4). 198–206. 23 indexed citations
19.
Bermejo, Iñigo, et al.. (2005). Lesión odontolclásica reabsortiva felina.. 13(120). 63–66.
20.
Bermejo, Iñigo, et al.. (2003). Neoplasias malignas de origen odontogénico de la cavidad oral del perro.. 15(55). 20–22. 1 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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Breakdown of academic impact, for papers by Margaret Pain Breakdown of academic impact, for papers by Morgan P. McBee Breakdown of academic impact, for papers by Brent J. Liu Breakdown of academic impact, for papers by Giancarlo Oliva Breakdown of academic impact, for papers by K. Elizabeth Hawk Breakdown of academic impact, for papers by Maurizio Cè Breakdown of academic impact, for papers by Anna Seehofnerová Breakdown of academic impact, for papers by Arjun B. Sood Breakdown of academic impact, for papers by Alanna Vial Breakdown of academic impact, for papers by Georgios C. Manikis
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