Wael Att

8.6k total citations · 5 hit papers
132 papers, 6.7k citations indexed

About

Wael Att is a scholar working on Oral Surgery, Orthodontics and Biomedical Engineering. According to data from OpenAlex, Wael Att has authored 132 papers receiving a total of 6.7k indexed citations (citations by other indexed papers that have themselves been cited), including 106 papers in Oral Surgery, 82 papers in Orthodontics and 48 papers in Biomedical Engineering. Recurrent topics in Wael Att's work include Dental Implant Techniques and Outcomes (92 papers), Dental materials and restorations (69 papers) and Bone Tissue Engineering Materials (37 papers). Wael Att is often cited by papers focused on Dental Implant Techniques and Outcomes (92 papers), Dental materials and restorations (69 papers) and Bone Tissue Engineering Materials (37 papers). Wael Att collaborates with scholars based in United States, Germany and Spain. Wael Att's co-authors include Marta Revilla‐León, Takahiro Ogawa, J R Strub, Susanne Stampf, Sebastian B. M. Patzelt, Masahiro Yamada, Vinayak R. Krishnamurthy, Norio Hori, Thomas Alexander Gerds and Takeshi Ueno and has published in prestigious journals such as Biomaterials, Acta Biomaterialia and Journal of Dental Research.

In The Last Decade

Wael Att

128 papers receiving 6.4k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Accuracy of full-arch scans using intraoral scanners

2013 338 citations Sebastian B. M. Patzelt, Susanne Stampf et al. Clinical Oral Investigations profile →
3D printing parameters, supporting structures, slicing, and post-processing procedures of vat-polymerization additive manufacturing technologies: A narrative review

2021 262 citations Wael Att, Marta Revilla‐León et al. profile →
Artificial intelligence applications in implant dentistry: A systematic review

2021 139 citations Marta Revilla‐León, Abdul Basir Barmak et al. Journal of Prosthetic Dentistry profile →
Influence of ambient temperature changes on intraoral scanning accuracy

2022 106 citations Marta Revilla‐León, Abdul Basir Barmak et al. Journal of Prosthetic Dentistry profile →
An overview of the digital occlusion technologies: Intraoral scanners, jaw tracking systems, and computerized occlusal analysis devices

2023 68 citations Marta Revilla‐León, Wael Att et al. Journal of Esthetic and Restorative Dentistry profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Wael Att	4.8k	4.2k	2.6k	891	620	132	6.7k
Francesco Mangano	4.6k 1.0×	3.3k 0.8×	1.9k 0.7×	589 0.7×	842 1.4×	160	6.1k
Estevam A. Bonfante	4.6k 1.0×	4.0k 0.9×	2.2k 0.8×	766 0.9×	1.3k 2.2×	263	6.1k
Daniël Wismeijer	6.3k 1.3×	4.1k 1.0×	2.3k 0.9×	890 1.0×	1.1k 1.7×	187	8.8k
Seong‐Joo Heo	2.7k 0.6×	2.0k 0.5×	2.0k 0.8×	359 0.4×	1.1k 1.8×	171	4.5k
Richard van Noort	3.6k 0.8×	4.9k 1.2×	2.0k 0.7×	1.4k 1.6×	824 1.3×	127	7.3k
Florian Beuer	4.7k 1.0×	5.3k 1.2×	1.3k 0.5×	1.7k 1.9×	520 0.8×	210	6.3k
JP Matinlinna	5.0k 1.0×	6.0k 1.4×	2.5k 1.0×	1.4k 1.6×	787 1.3×	268	8.9k
Carlo Mangano	4.2k 0.9×	2.5k 0.6×	2.2k 0.9×	292 0.3×	1.0k 1.6×	157	5.6k
Ralf‐Joachim Kohal	4.1k 0.9×	3.4k 0.8×	3.0k 1.2×	159 0.2×	731 1.2×	160	5.3k
Timo Närhi	1.8k 0.4×	1.7k 0.4×	1.7k 0.6×	277 0.3×	692 1.1×	152	4.2k

Countries citing papers authored by Wael Att

Since Specialization

Citations

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

Fields of papers citing papers by Wael Att

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wael Att

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

All Works

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20 of 20 papers shown

Ntovas, Panagiotis, Konstantinos Vazouras, Abdul Basir Barmak, Wael Att, & Marta Revilla‐León. (2025). Influence of artificial intelligence-based registration and occlusal collision correction on the accuracy of occlusal contacts captured at maximum intercuspal position using an intraoral scanner: A clinical comparative study. Journal of Prosthetic Dentistry. 135(3). 611.e1–611.e9.

Eggmann, Florin, Wael Att, Florian Beuer, et al.. (2024). Interdisciplinary Delphi study by PROSEC North America: Recommendations on single indirect restorations made from ceramic and nonmetallic biomaterials for posterior teeth. Journal of Esthetic and Restorative Dentistry. 37(3). 809–820. 1 indexed citations

Ntovas, Panagiotis, et al.. (2024). Comparison Between Conventional and Artificial Intelligence‐Assisted Setup for Digital Implant Planning: Accuracy, Time‐Efficiency, and User Experience. Clinical Oral Implants Research. 36(3). 290–297. 3 indexed citations

Mai, Hang‐Nga, et al.. (2024). Deep learning and explainable artificial intelligence for investigating dental professionals' satisfaction with CAD software performance. Journal of Prosthodontics. 34(2). 204–215. 2 indexed citations

Papaspyridakos, Panos, et al.. (2023). Effect of supramucosal height of a scan body and implant angulation on the accuracy of intraoral scanning: An in vitro study. Journal of Prosthetic Dentistry. 131(6). 1126–1134. 24 indexed citations

Tuna, Taşkın, et al.. (2023). Effect of Hydrogen Peroxide on the Surface and Attractiveness of Various Zirconia Implant Materials on Human Osteoblasts: An In Vitro Study. Materials. 16(3). 961–961. 4 indexed citations

Revilla‐León, Marta, Burak Yılmaz, John C. Kois, & Wael Att. (2023). Prevention of peri‐implant disease in edentulous patients with fixed implant rehabilitations. Clinical Implant Dentistry and Related Research. 25(4). 743–751. 2 indexed citations

Pérez‐Barquero, Jorge Alonso, et al.. (2023). Cephalometric analysis performance discrepancy between orthodontists and an artificial intelligence model using lateral cephalometric radiographs. Journal of Esthetic and Restorative Dentistry. 36(4). 555–565. 8 indexed citations

Revilla‐León, Marta, Jorge Alonso Pérez‐Barquero, Álvaro Zubizarreta‐Macho, et al.. (2022). Influence of the Number of Teeth and Location of the Virtual Occlusal Record on the Accuracy of the Maxillo‐Mandibular Relationship Obtained by Using An Intraoral Scanner. Journal of Prosthodontics. 32(3). 253–258. 42 indexed citations

10.

Abou‐Ayash, Samir, et al.. (2019). The influence of prosthetic material on implant and prosthetic survival of implant-supported fixed complete dentures: a systematic review and meta-analysis. Journal of Prosthodontic Research. 63(3). 251–265. 36 indexed citations

11.

Att, Wael, et al.. (2018). Current status of zirconia implants in dentistry: preclinical tests. Journal of Prosthodontic Research. 63(1). 1–14. 63 indexed citations

12.

Fawzy, Ahmed, et al.. (2016). The Effect of UV Treatment on the Osteoconductive Capacity of Zirconia-Based Materials. Materials. 9(12). 958–958. 38 indexed citations

13.

Patzelt, Sebastian B. M., et al.. (2014). Accuracy of computer-aided design/computer-aided manufacturing–generated dental casts based on intraoral scanner data. The Journal of the American Dental Association. 145(11). 1133–1140. 126 indexed citations

14.

Altmann, Brigitte, Ralf‐Joachim Kohal, Thorsten Steinberg, et al.. (2013). Distinct Cell Functions of Osteoblasts on UV-Functionalized Titanium- and Zirconia-Based Implant Materials Are Modulated by Surface Topography. Tissue Engineering Part C Methods. 19(11). 850–863. 51 indexed citations

15.

Patzelt, Sebastian B. M., et al.. (2013). Accuracy of full-arch scans using intraoral scanners. Clinical Oral Investigations. 18(6). 1687–1694. 338 indexed citations breakdown →

16.

Suzuki, Takeo, Norio Hori, Wael Att, et al.. (2009). Ultraviolet Treatment Overcomes Time-Related Degrading Bioactivity of Titanium. Tissue Engineering Part A. 15(12). 3679–3688. 98 indexed citations

17.

Att, Wael, et al.. (2009). Fixed Rehabilitation of the Edentulous Maxilla: Possibilities and Clinical Outcome. Journal of Oral and Maxillofacial Surgery. 67(11). 60–73. 50 indexed citations

18.

Stappert, Christian F.J., Somsak Chitmongkolsuk, Nelson R.F.A. Silva, Wael Att, & J R Strub. (2008). Effect of mouth-motion fatigue and thermal cycling on the marginal accuracy of partial coverage restorations made of various dental materials. Dental Materials. 24(9). 1248–1257. 48 indexed citations

19.

Att, Wael, et al.. (2007). ZrO₂ three‐unit fixed partial dentures: comparison of failure load before and after exposure to a mastication simulator. Journal of Oral Rehabilitation. 34(4). 282–290. 51 indexed citations

20.

Att, Wael, et al.. (2006). Fracture resistance of single‐tooth implant‐supported all‐ceramic restorations after exposure to the artificial mouth. Journal of Oral Rehabilitation. 33(5). 380–386. 76 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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