Rubén Pérez‐Mañanes

850 total citations
37 papers, 569 citations indexed

About

Rubén Pérez‐Mañanes is a scholar working on Surgery, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Rubén Pérez‐Mañanes has authored 37 papers receiving a total of 569 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Surgery, 21 papers in Biomedical Engineering and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Rubén Pérez‐Mañanes's work include Anatomy and Medical Technology (19 papers), Surgical Simulation and Training (17 papers) and Total Knee Arthroplasty Outcomes (10 papers). Rubén Pérez‐Mañanes is often cited by papers focused on Anatomy and Medical Technology (19 papers), Surgical Simulation and Training (17 papers) and Total Knee Arthroplasty Outcomes (10 papers). Rubén Pérez‐Mañanes collaborates with scholars based in Spain, Germany and United Arab Emirates. Rubén Pérez‐Mañanes's co-authors include José Antonio Calvo-Haro, Javier Pascau, Rafael Moreta-Martínez, Javier Vaquero‐Martín, Javier Vaquero, Pablo Sanz-Ruíz, Francisco Chana-Rodríguez, José Manuel Rojo-Manaute, Santiago Ochandiano and José Ignacio Salmerón Escobar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Rubén Pérez‐Mañanes

32 papers receiving 556 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rubén Pérez‐Mañanes Spain 14 434 226 104 83 45 37 569
Vasileios S. Nikolaou Greece 17 659 1.5× 154 0.7× 60 0.6× 70 0.8× 89 2.0× 69 871
Joep Kraeima Netherlands 19 758 1.7× 373 1.7× 60 0.6× 79 1.0× 23 0.5× 90 1.2k
Koen Willemsen Netherlands 11 243 0.6× 207 0.9× 31 0.3× 114 1.4× 26 0.6× 26 528
Cinzia Zannoni Italy 14 391 0.9× 215 1.0× 57 0.5× 54 0.7× 89 2.0× 31 610
Dimitrios Chytas Greece 15 446 1.0× 230 1.0× 86 0.8× 42 0.5× 55 1.2× 68 633
Eric W. Nottmeier United States 23 1.4k 3.2× 298 1.3× 27 0.3× 74 0.9× 20 0.4× 82 1.6k
Jason Bryan United States 21 1.3k 2.9× 160 0.7× 120 1.2× 62 0.7× 79 1.8× 28 1.5k
N.M. Goodger United Kingdom 8 220 0.5× 179 0.8× 43 0.4× 29 0.3× 229 5.1× 15 718
Stefan Raith Germany 17 347 0.8× 208 0.9× 42 0.4× 48 0.6× 11 0.2× 66 770
Maureen van Eijnatten Netherlands 17 258 0.6× 447 2.0× 81 0.8× 262 3.2× 10 0.2× 31 899

Countries citing papers authored by Rubén Pérez‐Mañanes

Since Specialization
Citations

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

Fields of papers citing papers by Rubén Pérez‐Mañanes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rubén Pérez‐Mañanes. 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 Rubén Pérez‐Mañanes. The network helps show where Rubén Pérez‐Mañanes may publish in the future.

Co-authorship network of co-authors of Rubén Pérez‐Mañanes

This figure shows the co-authorship network connecting the top 25 collaborators of Rubén Pérez‐Mañanes. A scholar is included among the top collaborators of Rubén Pérez‐Mañanes 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 Rubén Pérez‐Mañanes. Rubén Pérez‐Mañanes 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
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Pérez‐Mañanes, Rubén, et al.. (2024). [Translated article] Can 3D-printed patient-specific instruments improve local control and overall survival in pelvic sarcoma? A clinical validation study. Revista Española de Cirugía Ortopédica y Traumatología. 69(1). T83–T90. 2 indexed citations
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Moreta-Martínez, Rafael, et al.. (2022). HoloLens 1 vs. HoloLens 2: Improvements in the New Model for Orthopedic Oncological Interventions. Sensors. 22(13). 4915–4915. 28 indexed citations
5.
Calvo-Haro, José Antonio, et al.. (2022). [Translated article] Validation of patient-specific 3D impression models for pelvic oncological orthopedic surgery. Revista Española de Cirugía Ortopédica y Traumatología. 66(5). T403–T409. 1 indexed citations
6.
Moreta-Martínez, Rafael, et al.. (2021). Augmented Reality as a Tool to Guide PSI Placement in Pelvic Tumor Resections. Sensors. 21(23). 7824–7824. 16 indexed citations
7.
Calvo-Haro, José Antonio, et al.. (2021). Validación de los modelos de impresión 3D paciente-específicos para cirugía ortopédica oncológica pélvica. Revista Española de Cirugía Ortopédica y Traumatología. 66(5). 403–409.
8.
Moreta-Martínez, Rafael, et al.. (2021). Combining Surgical Navigation and 3D Printing for Less Invasive Pelvic Tumor Resections. IEEE Access. 9. 133541–133551. 2 indexed citations
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Pérez‐Mañanes, Rubén, et al.. (2021). Patient-specific desktop 3D-printed guides for pelvic tumour resection surgery: a precision study on cadavers. International Journal of Computer Assisted Radiology and Surgery. 16(3). 397–406. 13 indexed citations
11.
Lamo-Espinosa, José María, et al.. (2021). 3D Printing Surgical Guide for Nonunion: Technique Tip. Techniques in Orthopaedics. 37(2). 128–130. 1 indexed citations
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Moreta-Martínez, Rafael, et al.. (2020). Desktop 3D Printing: Key for Surgical Navigation in Acral Tumors?. Applied Sciences. 10(24). 8984–8984. 4 indexed citations
13.
Moreta-Martínez, Rafael, Santiago Ochandiano, Roberto García‐Leal, et al.. (2020). Augmented reality visualization for craniosynostosis surgery. Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization. 9(4). 392–399. 21 indexed citations
14.
Moreta-Martínez, Rafael, et al.. (2020). Combining Augmented Reality and 3D Printing to Display Patient Models on a Smartphone. Journal of Visualized Experiments. 21 indexed citations
15.
Pérez‐Mañanes, Rubén, et al.. (2019). 3D Printing Surgical Guide for Talocalcaneal Coalition Resection: Technique Tip. Foot & Ankle International. 40(6). 727–732. 13 indexed citations
16.
Moreta-Martínez, Rafael, et al.. (2018). Augmented reality in computer‐assisted interventions based on patient‐specific 3D printed reference. Healthcare Technology Letters. 5(5). 162–166. 35 indexed citations
17.
Pérez‐Mañanes, Rubén, et al.. (2018). Patient-Specific Instrument Can Improve Functional and Radiographic Results during Learning Curve for Oxford Unicompartmental Knee Arthroplasty. The Journal of Knee Surgery. 32(2). 180–185. 15 indexed citations
18.
Sanz-Ruíz, Pablo, et al.. (2017). Intraoperative radiotherapy for extremity soft-tissue sarcomas: can long-term local control be achieved?. International Journal of Clinical Oncology. 22(6). 1094–1102. 4 indexed citations
19.
Pérez‐Mañanes, Rubén, et al.. (2017). Three dimensional-printed patient-specific cutting guides for femoral varization osteotomy: Do it yourself. The Knee. 24(6). 1359–1368. 48 indexed citations
20.
Vaquero, Javier, et al.. (2016). 3D patient-specific surgical printing cutting blocks guides and spacers for open- wedge high tibial osteotomy (HTO) - do it yourself. Revue de Chirurgie Orthopédique et Traumatologique. 102(7). S131–S131. 5 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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