Guillermo Pradíes

3.3k total citations
80 papers, 2.4k citations indexed

About

Guillermo Pradíes is a scholar working on Oral Surgery, Orthodontics and Biomedical Engineering. According to data from OpenAlex, Guillermo Pradíes has authored 80 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Oral Surgery, 52 papers in Orthodontics and 16 papers in Biomedical Engineering. Recurrent topics in Guillermo Pradíes's work include Dental Implant Techniques and Outcomes (59 papers), Dental materials and restorations (49 papers) and Dental Radiography and Imaging (26 papers). Guillermo Pradíes is often cited by papers focused on Dental Implant Techniques and Outcomes (59 papers), Dental materials and restorations (49 papers) and Dental Radiography and Imaging (26 papers). Guillermo Pradíes collaborates with scholars based in Spain, Switzerland and Italy. Guillermo Pradíes's co-authors include Francisco Martínez‐Rus, Mutlu Özcan, Beatriz Giménez, Alberto Ferreiroa, María Paz Salido, Eneko Solaberrieta, Cristina Zarauz, Aritza Brizuela‐Velasco, María J. Suárez and Bassam Hassan and has published in prestigious journals such as International Journal of Molecular Sciences, Journal Of Clinical Periodontology and BioMed Research International.

In The Last Decade

Guillermo Pradíes

77 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guillermo Pradíes Spain 28 2.0k 2.0k 541 381 235 80 2.4k
Newton Sesma Brazil 25 1.4k 0.7× 1.3k 0.6× 480 0.9× 245 0.6× 209 0.9× 73 1.9k
Jaafar Abduo Australia 26 2.0k 1.0× 1.7k 0.9× 439 0.8× 566 1.5× 338 1.4× 80 2.4k
Sven Reich Germany 28 2.3k 1.1× 1.9k 0.9× 855 1.6× 377 1.0× 148 0.6× 74 2.6k
Miguel Gómez‐Polo Spain 27 1.7k 0.8× 1.7k 0.9× 497 0.9× 357 0.9× 154 0.7× 119 2.3k
Ralph G. Luthardt Germany 27 1.8k 0.9× 1.8k 0.9× 589 1.1× 378 1.0× 101 0.4× 92 2.4k
Abdul Basir Barmak United States 27 1.2k 0.6× 1.3k 0.7× 400 0.7× 334 0.9× 215 0.9× 133 1.9k
Michael Stimmelmayr Germany 26 1.8k 0.9× 1.8k 0.9× 496 0.9× 449 1.2× 62 0.3× 72 2.2k
Sebastian B. M. Patzelt Germany 18 1.1k 0.6× 1.3k 0.6× 340 0.6× 319 0.8× 80 0.3× 42 1.6k
W Gernet Germany 23 1.7k 0.8× 1.3k 0.7× 542 1.0× 290 0.8× 218 0.9× 44 1.9k
Wei‐Shao Lin United States 25 1.4k 0.7× 1.2k 0.6× 409 0.8× 442 1.2× 99 0.4× 125 1.9k

Countries citing papers authored by Guillermo Pradíes

Since Specialization
Citations

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

Fields of papers citing papers by Guillermo Pradíes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guillermo Pradíes

This figure shows the co-authorship network connecting the top 25 collaborators of Guillermo Pradíes. A scholar is included among the top collaborators of Guillermo Pradíes 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 Guillermo Pradíes. Guillermo Pradíes 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.
Pradíes, Guillermo, et al.. (2024). Advantages and drawbacks of different methods to measure marginal gaps in fixed dental prostheses: A scoping review. Journal of Dentistry. 151. 105400–105400. 11 indexed citations
2.
Bai, Shizhu, et al.. (2024). Fit comparison of interim crowns manufactured with open and proprietary 3D printing modes versus milling technology: An in vitro study. Journal of Esthetic and Restorative Dentistry. 36(12). 1693–1703. 4 indexed citations
3.
Salido, María Paz, et al.. (2024). Artificial intelligence for dental implant classification and peri-implant pathology identification in 2D radiographs: A systematic review. Journal of Dentistry. 153. 105533–105533. 4 indexed citations
4.
Salido, María Paz, et al.. (2024). Accuracy of surgical guides manufactured with four different 3D printers. A comparative in vitro study. Journal of Dentistry. 148. 105226–105226. 8 indexed citations
5.
Sanz‐Sánchez, Ignacio, et al.. (2023). The effect of a convergent transmucosal neck on soft tissues and radiographic outcomes: a 1-year follow-up randomized controlled trial. Clinical Oral Investigations. 27(6). 2923–2933. 1 indexed citations
6.
Pradíes, Guillermo, et al.. (2023). Current applications of 3D printing in dental implantology: A scoping review mapping the evidence. Clinical Oral Implants Research. 35(8). 1011–1032. 27 indexed citations
7.
8.
Pradíes, Guillermo, et al.. (2022). Clinical outcomes of the biologically oriented preparation technique (BOPT) in fixed dental prostheses: A systematic review. Journal of Prosthetic Dentistry. 132(3). 502–508. 11 indexed citations
9.
Martínez‐Rus, Francisco, et al.. (2022). Diagnosis of Interproximal Caries Lesions in Bitewing Radiographs Using a Deep Convolutional Neural Network-Based Software. Caries Research. 56(5-6). 503–511. 18 indexed citations
10.
Zarauz, Cristina, et al.. (2021). Influence of age and scanning system on the learning curve of experienced and novel intraoral scanner operators: A multi-centric clinical trial.. Journal of Dentistry. 115. 103860–103860. 18 indexed citations
11.
Ferreiroa, Alberto, et al.. (2021). Clinical study comparing the accuracy of interocclusal records, digitally obtained by three different devices. Clinical Oral Investigations. 26(2). 1957–1962. 21 indexed citations
12.
Solaberrieta, Eneko, et al.. (2020). Accuracy of digitization obtained from scannable and nonscannable elastomeric impression materials. Journal of Prosthetic Dentistry. 125(2). 300–306. 9 indexed citations
13.
Bartolomé, José F., et al.. (2020). Fatigue fracture resistance of titanium and chairside CAD-CAM zirconia implant abutments supporting zirconia crowns: An in vitro comparative and finite element analysis study. Journal of Prosthetic Dentistry. 125(3). 503.e1–503.e9. 9 indexed citations
14.
Salido, María Paz, et al.. (2020). “Comparative study of conventional anesthesia technique versus computerized system anesthesia: a randomized clinical trial”. Clinical Oral Investigations. 25(4). 2307–2315. 12 indexed citations
15.
Iturrate, Mikel, Rikardo Mínguez, Guillermo Pradíes, & Eneko Solaberrieta. (2018). Obtaining reliable intraoral digital scans for an implant-supported complete-arch prosthesis: A dental technique. Journal of Prosthetic Dentistry. 121(2). 237–241. 44 indexed citations
16.
Solaberrieta, Eneko, et al.. (2016). Customized procedure to display T-Scan occlusal contacts. Journal of Prosthetic Dentistry. 117(1). 18–21. 16 indexed citations
17.
Solaberrieta, Eneko, et al.. (2015). Determining the requirements, section quantity, and dimension of the virtual occlusal record. Journal of Prosthetic Dentistry. 115(1). 52–56. 40 indexed citations
18.
19.
Pradíes, Guillermo, Alberto Ferreiroa, Mutlu Özcan, Beatriz Giménez, & Francisco Martínez‐Rus. (2014). Using stereophotogrammetric technology for obtaining intraoral digital impressions of implants. The Journal of the American Dental Association. 145(4). 338–344. 49 indexed citations
20.
Pradíes, Guillermo, et al.. (2005). El Atache Locator para sobredentaduras: una misma solución compatible con distintas marcas de implantes. 7(77). 75–86.

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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