András Lassó

3.0k citations
131 papers · 2.1k · h-index 21

Impact in

Papers in

    • Anatomy and Medical Technology 21
    • Advanced X-ray and CT Imaging 14
    • Soft Robotics and Applications 10
    • Surgical Simulation and Training 28

András Lassó

121 papers receiving 2.0k citations

Peers

András Lassó
Comparison fields: 5 of 115
  • Radiation 199
  • Radiology, Nuclear Medicine and Imaging 478
  • Computer Vision and Pattern Recognition 429
  • Biomedical Engineering 731
  • Surgery 597
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Citations per year

Countries citing papers authored by András Lassó

Since Specialization
Citations

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

Fields of papers citing papers by András Lassó

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside András Lassó, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with András Lassó Line = papers co-authored together András Lassó links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 131 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014313
2 2012194
3 2016136
4 201974
5 201371
6 201169
7 201764
8 201756
9 201254
10 201552
11 201250
12 201244
13 201344
14 201640
15 201540
16 202036
17 201730
18 201928
19 201025
20 201825

About András Lassó

András Lassó is a scholar working on Biomedical Engineering, Surgery, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Radiation, having authored 131 papers that have together received 2.1k indexed citations. Recurring topics across this work include Surgical Simulation and Training (28 papers), Anatomy and Medical Technology (21 papers), Advanced Radiotherapy Techniques (19 papers), Cardiac Valve Diseases and Treatments (16 papers), Advanced X-ray and CT Imaging (14 papers), Radiomics and Machine Learning in Medical Imaging (14 papers), Augmented Reality Applications (14 papers) and Soft Robotics and Applications (10 papers). The work is most often cited by research in Radiation (199 citations), Radiology, Nuclear Medicine and Imaging (478 citations), Computer Vision and Pattern Recognition (429 citations), Biomedical Engineering (731 citations) and Surgery (597 citations). András Lassó has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Gábor Fichtinger, Tamás Ungi, Csaba Pintér, Tamas Heffter, Adam Rankin, David A. Jaffray, An Wang, Caitlin T. Yeo, Matthew A. Jolley and Robert McGraw. Their work appears in journals such as International Journal of Computer Assisted Radiology and Surgery, IEEE Transactions on Biomedical Engineering, Medical Physics, Journal of the American Society of Echocardiography and The Annals of Thoracic Surgery.

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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