Frank Lindseth

4.6k total citations
96 papers, 3.0k citations indexed

About

Frank Lindseth is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Frank Lindseth has authored 96 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Computer Vision and Pattern Recognition, 28 papers in Radiology, Nuclear Medicine and Imaging and 19 papers in Surgery. Recurrent topics in Frank Lindseth's work include Medical Image Segmentation Techniques (24 papers), Surgical Simulation and Training (14 papers) and Ultrasound Imaging and Elastography (10 papers). Frank Lindseth is often cited by papers focused on Medical Image Segmentation Techniques (24 papers), Surgical Simulation and Training (14 papers) and Ultrasound Imaging and Elastography (10 papers). Frank Lindseth collaborates with scholars based in Norway, Canada and Netherlands. Frank Lindseth's co-authors include Thomas Langø, Toril A. Nagelhus Hernes, Geirmund Unsgård, Erik Smistad, D. Louis Collins, Tormod Selbekk, Geirmund Unsgaard, Laurence Mercier, Jon Bang and Steinar Ommedal and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Access.

In The Last Decade

Frank Lindseth

89 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Frank Lindseth Norway 30 1.3k 1.0k 946 633 502 96 3.0k
Ron Kikinis United States 29 1.8k 1.4× 1.1k 1.0× 2.3k 2.4× 754 1.2× 276 0.5× 84 5.2k
Toril A. Nagelhus Hernes Norway 25 786 0.6× 604 0.6× 378 0.4× 489 0.8× 490 1.0× 43 1.8k
Robert L. Galloway United States 30 722 0.6× 1.5k 1.4× 1.4k 1.5× 1.1k 1.7× 218 0.4× 150 3.3k
Michael I. Miga United States 41 2.1k 1.6× 2.6k 2.5× 1.6k 1.7× 1.1k 1.7× 700 1.4× 231 5.4k
Arya Nabavi Germany 24 1.1k 0.9× 609 0.6× 603 0.6× 317 0.5× 1.0k 2.0× 54 2.7k
Alex Hartov United States 32 750 0.6× 2.2k 2.1× 565 0.6× 492 0.8× 315 0.6× 121 3.3k
Michael R. Kaus United States 18 1.6k 1.3× 755 0.7× 1.2k 1.2× 321 0.5× 224 0.4× 38 3.4k
Nobuhiko Hata United States 39 1.4k 1.1× 2.8k 2.6× 960 1.0× 1.4k 2.2× 277 0.6× 169 5.1k
Thomas Langø Norway 27 809 0.6× 991 0.9× 607 0.6× 893 1.4× 166 0.3× 95 2.4k
Mauricio Reyes Switzerland 34 1.4k 1.1× 720 0.7× 1.4k 1.5× 429 0.7× 304 0.6× 154 4.0k

Countries citing papers authored by Frank Lindseth

Since Specialization
Citations

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

Fields of papers citing papers by Frank Lindseth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frank Lindseth

This figure shows the co-authorship network connecting the top 25 collaborators of Frank Lindseth. A scholar is included among the top collaborators of Frank Lindseth 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 Frank Lindseth. Frank Lindseth 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.
Rasheed, Adil, et al.. (2025). Data-driven predictive modelling of stop-level public transit patterns. Transportation.
2.
Rasheed, Adil, et al.. (2025). Leveraging Big Data and AI for Sustainable Urban Mobility Solutions. Urban Science. 9(8). 301–301. 1 indexed citations
3.
Bavirisetti, Durga Prasad, et al.. (2025). Vehicle Localization Framework Using Georeferenced Snow Poles and LiDAR in GNSS-Limited Environments Under Nordic Conditions. IEEE Transactions on Intelligent Transportation Systems. 26(12). 22296–22311.
4.
Bavirisetti, Durga Prasad, et al.. (2024). SnowPole Detection: A Comprehensive Dataset for Detection and Localization Using LiDAR Imaging in Nordic Winter Conditions. SSRN Electronic Journal. 1 indexed citations
5.
Steinsland, Ingelin, et al.. (2024). Development of risk models of incident hypertension using machine learning on the HUNT study data. Scientific Reports. 14(1). 5609–5609. 4 indexed citations
6.
Langø, Thomas, et al.. (2022). Teacher-student approach for lung tumor segmentation from mixed-supervised datasets. PLoS ONE. 17(4). e0266147–e0266147. 11 indexed citations
7.
Lindseth, Frank, et al.. (2021). Numerical Evaluation on Parametric Choices Influencing Segmentation Results in Radiology Images—A Multi-Dataset Study. Electronics. 10(4). 431–431. 5 indexed citations
8.
Unsgård, Geirmund & Frank Lindseth. (2019). 3D ultrasound–guided resection of low-grade gliomas: principles and clinical examples. Neurosurgical FOCUS. 47(6). E9–E9. 14 indexed citations
9.
Hofstad, Erlend Fagertun, Ole Vegard Solberg, Geir Arne Tangen, et al.. (2018). Laboratory test of Single Landmark registration method for ultrasound-based navigation in laparoscopy using an open-source platform. International Journal of Computer Assisted Radiology and Surgery. 13(12). 1927–1936. 7 indexed citations
10.
Smistad, Erik, et al.. (2016). Automatic Segmentation and Probe Guidance for Real-Time Assistance of Ultrasound-Guided Femoral Nerve Blocks. Ultrasound in Medicine & Biology. 43(1). 218–226. 17 indexed citations
11.
Bø, Lars Eirik, Erlend Fagertun Hofstad, Frank Lindseth, & Toril A. Nagelhus Hernes. (2015). Versatile robotic probe calibration for position tracking in ultrasound imaging. Physics in Medicine and Biology. 60(9). 3499–3513. 16 indexed citations
12.
Selbekk, Tormod, Asgeir Store Jakola, Ole Solheim, et al.. (2013). Ultrasound imaging in neurosurgery: approaches to minimize surgically induced image artefacts for improved resection control. Acta Neurochirurgica. 155(6). 973–980. 124 indexed citations
13.
Enquobahrie, Daniel A., Patrick Cheng, Kevin Gary, et al.. (2007). The Image-Guided Surgery Toolkit IGSTK: An Open Source C++ Software Toolkit. Journal of Digital Imaging. 20(S1). 21–33. 66 indexed citations
14.
15.
Unsgaard, Geirmund, Steinar Ommedal, Ola M. Rygh, & Frank Lindseth. (2007). OPERATION OF ARTERIOVENOUS MALFORMATIONS ASSISTED BY STEREOSCOPIC NAVIGATION-CONTROLLED DISPLAY OF PREOPERATIVE MAGNETIC RESONANCE ANGIOGRAPHY AND INTRAOPERATIVE ULTRASOUND ANGIOGRAPHY. Neurosurgery. 61(1). 416–416. 7 indexed citations
16.
Rygh, Ola M., Toril A. Nagelhus Hernes, Frank Lindseth, et al.. (2006). Intraoperative navigated 3-dimensional ultrasound angiography in tumor surgery. Surgical Neurology. 66(6). 581–592. 29 indexed citations
17.
Unsgaard, Geirmund, Steinar Ommedal, Ola M. Rygh, & Frank Lindseth. (2005). Operation of Arteriovenous Malformations Assisted by Stereoscopic Navigation-controlled Display of Preoperative Magnetic Resonance Angiography and Intraoperative Ultrasound Angiography. Operative Neurosurgery. 56(1 Suppl). 281–290. 42 indexed citations
18.
Lindseth, Frank, Thomas Lang�, Jon Bang, & Toril A. Nagelhus Hernes. (2002). Accuracy evaluation of a 3D ultrasound-based neuronavigation system. Computer Aided Surgery. 7(4). 197–222. 68 indexed citations
19.
Langø, Thomas, et al.. (2000). Novel probe calibration methods for 3D freehand ultrasound. Computer Aided Surgery. 1 indexed citations
20.
Grønningsaeter, Aage, A. Kleven, Steinar Ommedal, et al.. (2000). SonoWand, an Ultrasound-based Neuronavigation System. Neurosurgery. 47(6). 1373–1380. 132 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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