Yolanda Freire

597 total citations
18 papers, 368 citations indexed

About

Yolanda Freire is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Oral Surgery. According to data from OpenAlex, Yolanda Freire has authored 18 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Health Informatics, 7 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Oral Surgery. Recurrent topics in Yolanda Freire's work include Artificial Intelligence in Healthcare and Education (11 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and COVID-19 diagnosis using AI (4 papers). Yolanda Freire is often cited by papers focused on Artificial Intelligence in Healthcare and Education (11 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and COVID-19 diagnosis using AI (4 papers). Yolanda Freire collaborates with scholars based in Spain. Yolanda Freire's co-authors include Víctor Díaz‐Flores García, Ana Suárez, Margarita Gómez Sánchez, Carlos López-Suárez, Esther Gonzalo, María J. Suárez, Cristina Andreu‐Vázquez, Jaime Jiménez, Jesús Peláez and Simone Arena and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Environmental Research and Public Health.

In The Last Decade

Yolanda Freire

17 papers receiving 362 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yolanda Freire Spain	8	200	136	98	87	81	18	368
Víctor Díaz‐Flores García Spain	8	209 1.0×	96 0.7×	100 1.0×	64 0.7×	24 0.3×	25	352
Margarita Gómez Sánchez Spain	7	164 0.8×	62 0.5×	86 0.9×	63 0.7×	21 0.3×	16	269
Yunus Balel Türkiye	9	140 0.7×	75 0.6×	78 0.8×	27 0.3×	25 0.3×	34	276
Mohammed Awawdeh Saudi Arabia	10	58 0.3×	192 1.4×	67 0.7×	69 0.8×	63 0.8×	41	342
Khaing Myat Thu Hong Kong	9	61 0.3×	129 0.9×	42 0.4×	75 0.9×	58 0.7×	18	237
Reinhard Chun Wang Chau Hong Kong	7	65 0.3×	110 0.8×	43 0.4×	76 0.9×	34 0.4×	10	218
Pradnya Nikhade India	8	76 0.4×	196 1.4×	46 0.5×	73 0.8×	83 1.0×	64	316
Neil Patel United Kingdom	6	97 0.5×	23 0.2×	46 0.5×	20 0.2×	3 0.0×	15	202
Aderonke Ajiboye United Kingdom	5	109 0.5×	7 0.1×	46 0.5×	15 0.2×	14 0.2×	17	209
Kostis Giannakopoulos Cyprus	4	164 0.8×	45 0.3×	70 0.7×	34 0.4×	1 0.0×	9	236

Countries citing papers authored by Yolanda Freire

Since Specialization

Citations

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

Fields of papers citing papers by Yolanda Freire

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yolanda Freire

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

All Works

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18 of 18 papers shown

Suárez, Ana, et al.. (2025). Decoding wisdom: Evaluating ChatGPT's accuracy and reproducibility in analyzing orthopantomographic images for third molar assessment. Computational and Structural Biotechnology Journal. 28. 141–147. 4 indexed citations

Suárez, Ana, et al.. (2025). Performance of ChatGPT-4 as an Auxiliary Tool: Evaluation of Accuracy and Repeatability on Orthodontic Radiology Questions. Bioengineering. 12(10). 1031–1031. 1 indexed citations

Suárez, Ana, et al.. (2025). Assessing ChatGPT’s Reliability in Endodontics: Implications for AI-Enhanced Clinical Learning. Applied Sciences. 15(10). 5231–5231. 1 indexed citations

Freire, Yolanda, et al.. (2025). Evaluating the influence of prompt formulation on the reliability and repeatability of ChatGPT in implant-supported prostheses. PLoS ONE. 20(5). e0323086–e0323086. 1 indexed citations

Suárez, Ana, et al.. (2025). ChatGPT in Oral Pathology: Bright Promise or Diagnostic Mirage. Medicina. 61(10). 1744–1744.

Suárez, Ana, Yolanda Freire, Víctor Díaz‐Flores García, et al.. (2025). Diagnostic Performance of Multimodal Large Language Models in the Analysis of Oral Pathology. Oral Diseases. 31(12). 3344–3354. 2 indexed citations

Freire, Yolanda, et al.. (2024). Social media impact on students’ decision-making regarding aesthetic dental treatments based on cross-sectional survey data. Scientific Reports. 14(1). 21626–21626. 4 indexed citations

García, Víctor Díaz‐Flores, et al.. (2024). Google Gemini’s Performance in Endodontics: A Study on Answer Precision and Reliability. Applied Sciences. 14(15). 6390–6390. 5 indexed citations

Freire, Yolanda, et al.. (2024). ChatGPT performance in prosthodontics: Assessment of accuracy and repeatability in answer generation. Journal of Prosthetic Dentistry. 131(4). 659.e1–659.e6. 60 indexed citations

10.

García, Víctor Díaz‐Flores, et al.. (2024). Intraoral Scanning for Monitoring Dental Wear and Its Risk Factors: A Prospective Study. Healthcare. 12(11). 1069–1069. 3 indexed citations

11.

García, Víctor Díaz‐Flores, et al.. (2024). Comparative study of torsional and bending stress in NiTi, graphene, and GUM metal endodontic files by finite element analysis. Computers in Biology and Medicine. 170. 108017–108017. 3 indexed citations

12.

Suárez, Ana, et al.. (2023). Unveiling the ChatGPT phenomenon: Evaluating the consistency and accuracy of endodontic question answers. International Endodontic Journal. 57(1). 108–113. 97 indexed citations

13.

Freire, Yolanda, et al.. (2023). Influence of the use of social media on patients changing dental practice: a web-based questionnaire study. BMC Oral Health. 23(1). 365–365. 16 indexed citations

14.

Suárez, Ana, Jaime Jiménez, Cristina Andreu‐Vázquez, et al.. (2023). Beyond the Scalpel: Assessing ChatGPT's potential as an auxiliary intelligent virtual assistant in oral surgery. Computational and Structural Biotechnology Journal. 24. 46–52. 42 indexed citations

15.

García, Víctor Díaz‐Flores, et al.. (2022). Application of the Intraoral Scanner in the Diagnosis of Dental Wear: An In Vivo Study of Tooth Wear Analysis. International Journal of Environmental Research and Public Health. 19(8). 4481–4481. 16 indexed citations

16.

Suárez, Ana, et al.. (2022). Using a Virtual Patient via an Artificial Intelligence Chatbot to Develop Dental Students’ Diagnostic Skills. International Journal of Environmental Research and Public Health. 19(14). 8735–8735. 45 indexed citations

17.

Freire, Yolanda, Esther Gonzalo, Carlos López-Suárez, Jesús Peláez, & María J. Suárez. (2020). Evaluation of the marginal fit of monolithic crowns fabricated by direct and indirect digitization. Journal of Prosthodontic Research. 65(3). 291–297. 16 indexed citations

18.

Freire, Yolanda, Esther Gonzalo, Carlos López-Suárez, & María J. Suárez. (2017). The Marginal Fit of CAD/CAM Monolithic Ceramic and Metal‐Ceramic Crowns. Journal of Prosthodontics. 28(3). 299–304. 52 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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