Flemming Bjerrum

2.3k total citations
73 papers, 1.6k citations indexed

About

Flemming Bjerrum is a scholar working on Surgery, Biomedical Engineering and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Flemming Bjerrum has authored 73 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Surgery, 35 papers in Biomedical Engineering and 21 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Flemming Bjerrum's work include Surgical Simulation and Training (61 papers), Anatomy and Medical Technology (35 papers) and Simulation-Based Education in Healthcare (21 papers). Flemming Bjerrum is often cited by papers focused on Surgical Simulation and Training (61 papers), Anatomy and Medical Technology (35 papers) and Simulation-Based Education in Healthcare (21 papers). Flemming Bjerrum collaborates with scholars based in Denmark, Canada and United States. Flemming Bjerrum's co-authors include Lars Konge, Stine Maya Dreier Sørensen, Ismail Gögenür, Jette Led Sørensen‎, Jeanett Strandbygaard, Anders Meller Donatsky, Ann Sofia Skou Thomsen, Bent Ottesen, Morten Bo Søndergaard Svendsen and Steven Arild Wuyts Andersen and has published in prestigious journals such as Annals of Surgery, British journal of surgery and Gastrointestinal Endoscopy.

In The Last Decade

Flemming Bjerrum

67 papers receiving 1.5k citations

Author Peers

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

Author Last Decade Papers Cites
Flemming Bjerrum 1.2k 537 390 230 225 73 1.6k
Lars Enochsson 1.1k 0.9× 539 1.0× 286 0.7× 152 0.7× 184 0.8× 48 1.4k
David A. McClusky 1.4k 1.2× 570 1.1× 361 0.9× 136 0.6× 238 1.1× 32 1.6k
Patrick Cregan 1.3k 1.1× 705 1.3× 527 1.4× 112 0.5× 314 1.4× 27 1.7k
Jørgen Bendix 1.2k 1.0× 542 1.0× 307 0.8× 98 0.4× 271 1.2× 18 1.5k
Jack J. Jakimowicz 1.5k 1.2× 641 1.2× 229 0.6× 229 1.0× 192 0.9× 57 1.8k
S Bann 997 0.8× 544 1.0× 223 0.6× 145 0.6× 336 1.5× 20 1.2k
E. Matt Ritter 1.5k 1.3× 887 1.7× 463 1.2× 60 0.3× 274 1.2× 16 1.7k
Sanne M. B. I. Botden 1.2k 1.0× 599 1.1× 216 0.6× 154 0.7× 114 0.5× 70 1.3k
Vivek Datta 1.4k 1.2× 760 1.4× 280 0.7× 159 0.7× 444 2.0× 35 1.7k
Yaron Munz 2.1k 1.8× 1.0k 1.9× 600 1.5× 231 1.0× 542 2.4× 49 2.8k

Countries citing papers authored by Flemming Bjerrum

Since Specialization
Citations

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

Fields of papers citing papers by Flemming Bjerrum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Flemming Bjerrum

This figure shows the co-authorship network connecting the top 25 collaborators of Flemming Bjerrum. A scholar is included among the top collaborators of Flemming Bjerrum 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 Flemming Bjerrum. Flemming Bjerrum 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.
Østergaard, Lasse Riis, Flemming Bjerrum, Morten Bo Søndergaard Svendsen, et al.. (2025). Video-based robotic surgical action recognition and skills assessment on porcine models using deep learning. Surgical Endoscopy. 39(3). 1709–1719. 5 indexed citations
2.
Bertelsen, Claus Anders, Kim Christian Houlind, Lars Bundgaard, et al.. (2024). Developing a phantom for simulating robotic-assisted complete mesocolic excision using 3D printing and medical imaging. BMC Surgery. 24(1). 72–72. 1 indexed citations
3.
Tang, Diana, et al.. (2024). 3D monitors improve performance on the HUGO™ RAS system: a randomised trial. Surgical Endoscopy. 38(12). 7165–7171.
4.
Konge, Lars, et al.. (2024). Focus on proficiency levels is necessary when virtual reality simulator software is updated–a randomized trial. Current Problems in Surgery. 61(12). 101630–101630.
5.
Konge, Lars, et al.. (2024). Medical Students Cannot Assess Robotic Surgeons Performing Radical Prostatectomy. Simulation in Healthcare The Journal of the Society for Simulation in Healthcare. 19(4). 213–219. 1 indexed citations
6.
Houlind, Kim Christian, et al.. (2024). Training and assessment for colorectal surgery and appendicectomy– a systematic review. Colorectal Disease. 26(4). 597–608. 4 indexed citations
7.
Jørgensen, Lone, et al.. (2024). Training and education of operating room nurses in robot-assisted surgery: a systematic review. Surgical Endoscopy. 38(12). 7024–7036. 1 indexed citations
8.
9.
Hartwell, Dorthe, Tórur Dalsgaard, Mette Madsen, et al.. (2023). First experience with the Hugo™ robot‐assisted surgery system for endometriosis: A descriptive study. Acta Obstetricia Et Gynecologica Scandinavica. 103(2). 368–377. 9 indexed citations
10.
Karas, V., et al.. (2023). Skills transfer from the DaVinci® system to the Hugo™ RAS system. International Urology and Nephrology. 56(2). 389–397. 18 indexed citations
11.
Bjerrum, Flemming, et al.. (2022). The left upper lobe challenge in video-assisted thoracoscopic surgery—use of a composite score to improve the assessment of simulated lobectomy. European Journal of Cardio-Thoracic Surgery. 62(6). 1 indexed citations
12.
Pietersen, Pia Iben, Flemming Bjerrum, Martin G. Tolsgaard, Lars Konge, & Steven Arild Wuyts Andersen. (2021). Standard Setting in Simulation-based Training of Surgical Procedures. Annals of Surgery. 275(5). 872–882. 19 indexed citations
13.
Bjerrum, Flemming, et al.. (2020). Simulation-based training for flexible cystoscopy – A randomized trial comparing two approaches. Heliyon. 6(1). e03086–e03086. 9 indexed citations
14.
Sørensen, Stine Maya Dreier, Lars Konge, Morten Bo Søndergaard Svendsen, et al.. (2019). Cognitive load and performance in immersive virtual reality versus conventional virtual reality simulation training of laparoscopic surgery: a randomized trial. Surgical Endoscopy. 34(3). 1244–1252. 192 indexed citations
15.
Bjerrum, Flemming, Ann Sofia Skou Thomsen, Leizl Joy Nayahangan, & Lars Konge. (2018). Surgical simulation: Current practices and future perspectives for technical skills training. Medical Teacher. 40(7). 668–675. 86 indexed citations
16.
Nilsson, Cecilia, et al.. (2016). Simulation-based camera navigation training in laparoscopy—a randomized trial. Surgical Endoscopy. 31(5). 2131–2139. 33 indexed citations
17.
Konge, Lars, Flemming Bjerrum, Leizl Joy Nayahangan, & Torben V. Schroeder. (2015). Developing and running a surgical simulation centre: experiences from Copenhagen, Denmark. 2. 5 indexed citations
18.
Bjerrum, Flemming, et al.. (2014). Medical Students as Facilitators for Laparoscopic Simulator Training. Journal of surgical education. 72(3). 446–451. 10 indexed citations
19.
Donatsky, Anders Meller, Flemming Bjerrum, & Ismail Gögenür. (2013). Surgical techniques to minimize shoulder pain after laparoscopic cholecystectomy. A systematic review. Surgical Endoscopy. 27(7). 2275–2282. 83 indexed citations
20.
Donatsky, Anders Meller, Flemming Bjerrum, & Ismail Gögenür. (2013). Intraperitoneal instillation of saline and local anesthesia for prevention of shoulder pain after laparoscopic cholecystectomy: a systematic review. Surgical Endoscopy. 27(7). 2283–2292. 31 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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