Fernando Bello

5.6k total citations
154 papers, 3.0k citations indexed

About

Fernando Bello is a scholar working on Surgery, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Fernando Bello has authored 154 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Surgery, 60 papers in Biomedical Engineering and 30 papers in Computer Vision and Pattern Recognition. Recurrent topics in Fernando Bello's work include Surgical Simulation and Training (82 papers), Anatomy and Medical Technology (39 papers) and Augmented Reality Applications (24 papers). Fernando Bello is often cited by papers focused on Surgical Simulation and Training (82 papers), Anatomy and Medical Technology (39 papers) and Augmented Reality Applications (24 papers). Fernando Bello collaborates with scholars based in United Kingdom, United States and Australia. Fernando Bello's co-authors include Ara Darzi, Krishna Moorthy, Aristotelis Dosis, Yaron Munz, Juan David Hernández, Roger Kneebone, S. Martin, Timothy Rockall, Christos Kontovounisios and Luc Maréchal and has published in prestigious journals such as SHILAP Revista de lepidopterología, NeuroImage and Journal of Bone and Joint Surgery.

In The Last Decade

Fernando Bello

146 papers receiving 2.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fernando Bello United Kingdom 25 1.6k 1.3k 504 447 363 154 3.0k
Bin Zheng Canada 29 1.3k 0.8× 779 0.6× 381 0.8× 223 0.5× 256 0.7× 174 2.7k
Erik Dutson United States 31 2.3k 1.4× 918 0.7× 169 0.3× 590 1.3× 188 0.5× 112 3.4k
Dmitry Oleynikov United States 42 4.3k 2.6× 1.5k 1.2× 410 0.8× 187 0.4× 137 0.4× 240 5.5k
Thomas S. Lendvay United States 34 1.8k 1.1× 808 0.6× 203 0.4× 672 1.5× 316 0.9× 128 3.4k
Pierre Jannin France 34 1.6k 1.0× 1.0k 0.8× 1.1k 2.2× 291 0.7× 333 0.9× 177 3.9k
Andréa Aliverti Italy 46 848 0.5× 1.7k 1.3× 333 0.7× 1.6k 3.6× 330 0.9× 335 8.2k
Caroline G. L. Cao United States 25 1.1k 0.7× 630 0.5× 396 0.8× 260 0.6× 153 0.4× 114 1.8k
Mika Sinanan United States 34 2.7k 1.7× 1.8k 1.4× 654 1.3× 125 0.3× 134 0.4× 80 3.9k
John J. van den Dobbelsteen Netherlands 28 1.1k 0.7× 1.5k 1.2× 264 0.5× 100 0.2× 151 0.4× 114 2.5k
Marlies P. Schijven Netherlands 40 3.3k 2.1× 2.0k 1.6× 1.1k 2.3× 1.0k 2.3× 833 2.3× 158 5.7k

Countries citing papers authored by Fernando Bello

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Bello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fernando Bello

This figure shows the co-authorship network connecting the top 25 collaborators of Fernando Bello. A scholar is included among the top collaborators of Fernando Bello 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 Fernando Bello. Fernando Bello 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.
Boudreau, J. Donald, Alfred Wei Chieh Kow, Fernando Bello, et al.. (2024). Harnessing the potential of large language models in medical education: promise and pitfalls. Journal of the American Medical Informatics Association. 31(3). 776–783. 47 indexed citations
2.
Bello, Fernando, et al.. (2024). Hardness changing tactile displays for simulating the feel of organic tissues. Frontiers in Robotics and AI. 11. 1404543–1404543. 1 indexed citations
3.
Boshier, Piers R., et al.. (2021). Current and possible future role of 3D modelling within oesophagogastric surgery: a scoping review protocol. BMJ Open. 11(10). e045546–e045546. 3 indexed citations
4.
Clarke, Simon A., et al.. (2021). Virtual Reality Simulator for Pediatric Laparoscopic Inguinal Hernia Repair. Journal of Laparoendoscopic & Advanced Surgical Techniques. 31(11). 1322–1330. 6 indexed citations
5.
Stone, Robert, et al.. (2020). Effectiveness of technology-enhanced simulation in teaching digital rectal examination: a systematic review narrative synthesis. BMJ Simulation & Technology Enhanced Learning. 7(5). bmjstel–2020. 2 indexed citations
7.
Maréchal, Luc, et al.. (2020). Toward a Common Framework and Database of Materials for Soft Robotics. Soft Robotics. 8(3). 284–297. 225 indexed citations
8.
Kebria, Parham M., Abbas Khosravi, Saeid Nahavandi, Dongrui Wu, & Fernando Bello. (2019). Adaptive Type-2 Fuzzy Neural-Network Control for Teleoperation Systems With Delay and Uncertainties. IEEE Transactions on Fuzzy Systems. 28(10). 2543–2554. 60 indexed citations
9.
Bello, Fernando, et al.. (2019). Is the diagnostic radiological image an underutilised resource? Exploring the literature. Insights into Imaging. 10(1). 13–13. 1 indexed citations
10.
Kelay, Tanika, et al.. (2017). Distributed Simulation as a modelling tool for the development of a simulation-based training programme for cardiovascular specialties. SHILAP Revista de lepidopterología. 2(1). 16–16. 4 indexed citations
11.
Huddy, Jeremy, et al.. (2016). Sequential simulation (SqS) of clinical pathways: a tool for public and patient engagement in point-of-care diagnostics. BMJ Open. 6(9). e011043–e011043. 11 indexed citations
12.
Kelay, Tanika, Sujatha Kesavan, R Collins, et al.. (2013). Techniques to aid the implementation of novel clinical information systems: A systematic review. International Journal of Surgery. 11(9). 783–791. 5 indexed citations
13.
Kassab, Eva, Jimmy Kyaw Tun, Sonal Arora, et al.. (2011). “Blowing up the Barriers” in Surgical Training. Annals of Surgery. 254(6). 1059–1065. 63 indexed citations
14.
John, Nigel W., Fernando Bello, Chris Hughes, et al.. (2008). Physics-based virtual environment for training core skills in vascular interventional radiological procedures.. PubMed. 132. 195–7. 2 indexed citations
15.
Elson, Daniel S., et al.. (2008). Solid-state semiconductors are better alternatives to arc-lamps for efficient and uniform illumination in minimal access surgery. Surgical Endoscopy. 23(3). 518–526. 16 indexed citations
16.
Bello, Fernando, et al.. (2006). The use of a GripForce system to map force distribution patterns of laparoscopic instruments.. PubMed. 119. 170–5. 1 indexed citations
17.
Bello, Fernando, et al.. (2005). Soft tissue deformation using a nonlinear hierarchical finite element model with real-time online refinement.. PubMed. 111. 137–44. 1 indexed citations
18.
Bello, Fernando, et al.. (2005). Facial plastic surgery planning using a 3D surface deformation tool.. PubMed. 111. 247–50. 7 indexed citations
19.
Dosis, Aristotelis, Fernando Bello, Duncan Gillies, et al.. (2005). Laparoscopic task recognition using Hidden Markov Models.. PubMed. 111. 115–22. 16 indexed citations
20.
Bello, Fernando, et al.. (2004). An active constraint environment for minimally invasive heart surgery: early experience of a cutting operation.. PubMed. 98. 31–3.

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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