Johan Lie

1.3k total citations · 1 hit paper
8 papers, 941 citations indexed

About

Johan Lie is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Computational Mechanics. According to data from OpenAlex, Johan Lie has authored 8 papers receiving a total of 941 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 3 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Computational Mechanics. Recurrent topics in Johan Lie's work include Advanced MRI Techniques and Applications (3 papers), Medical Image Segmentation Techniques (2 papers) and Advanced Neuroimaging Techniques and Applications (2 papers). Johan Lie is often cited by papers focused on Advanced MRI Techniques and Applications (3 papers), Medical Image Segmentation Techniques (2 papers) and Advanced Neuroimaging Techniques and Applications (2 papers). Johan Lie collaborates with scholars based in Norway, United States and Uganda. Johan Lie's co-authors include Xue‐Cheng Tai, Marius Lysaker, A. Jamil Tajik, D D Mair, J B Seward, Donald J. Hagler, Jan M. Nordbotten, Tony F. Chan, Usha Sinha and Arvid Lundervold and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Image Processing and Mathematics of Computation.

In The Last Decade

Johan Lie

7 papers receiving 864 citations

Hit Papers

align trajectories

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.

Two-dimensional real-time ultrasonic imaging of the heart and great vessels. Technique, image orientation, structure identification, and validation.

1978 516 citations A. Jamil Tajik, J B Seward et al. PubMed profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Johan Lie Norway	5	395	317	186	170	143	8	941
Constantine Butakoff Spain	21	641 1.6×	364 1.1×	128 0.7×	311 1.8×	112 0.8×	65	1.5k
Hans C. van Assen Netherlands	18	340 0.9×	294 0.9×	99 0.5×	356 2.1×	158 1.1×	56	1.0k
Khaled Z. Abd‐Elmoniem United States	17	269 0.7×	271 0.9×	93 0.5×	404 2.4×	68 0.5×	60	935
Bernard Chiu Hong Kong	18	420 1.1×	374 1.2×	63 0.3×	362 2.1×	533 3.7×	88	1.1k
Timothy J. W. Dawes United Kingdom	17	531 1.3×	534 1.7×	81 0.4×	615 3.6×	168 1.2×	39	1.5k
Olivier Ecabert Germany	12	240 0.6×	358 1.1×	60 0.3×	323 1.9×	89 0.6×	24	725
Valérie Lacroix Belgium	16	218 0.6×	74 0.2×	157 0.8×	146 0.9×	460 3.2×	47	804
Edward A. Geiser United States	23	724 1.8×	755 2.4×	175 0.9×	665 3.9×	226 1.6×	64	2.0k
C.E. Hann New Zealand	16	178 0.5×	93 0.3×	86 0.5×	65 0.4×	63 0.4×	75	938
Mathieu De Craene Spain	21	786 2.0×	361 1.1×	64 0.3×	852 5.0×	175 1.2×	82	1.6k

Countries citing papers authored by Johan Lie

Since Specialization

Citations

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

Fields of papers citing papers by Johan Lie

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Johan Lie

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

All Works

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8 of 8 papers shown

1.

Lie, Johan, et al.. (2024). Technology-supported problem-based learning in mathematics education for pre-service teachers: a systematic literature review. SN Social Sciences. 4(10).

2.

Lie, Johan, et al.. (2017). Computer programming in the lower secondary classroom: learning mathematics. SHILAP Revista de lepidopterología. 25(2). 27–35. 1 indexed citations

3.

Lie, Johan, et al.. (2007). Total Variation Regularization of Matrix‐Valued Images. International Journal of Biomedical Imaging. 2007(1). 27432–27432. 22 indexed citations

4.

Bergmann, Ørjan, et al.. (2007). Shape-Adaptive DCT for Denoising of 3D Scalar and Tensor Valued Images. Journal of Digital Imaging. 22(3). 297–308. 3 indexed citations

5.

Lie, Johan, Marius Lysaker, & Xue‐Cheng Tai. (2006). A binary level set model and some applications to Mumford-Shah image segmentation. IEEE Transactions on Image Processing. 15(5). 1171–1181. 249 indexed citations

6.

Lie, Johan, Marius Lysaker, & Xue‐Cheng Tai. (2006). A variant of the level set method and applications to image segmentation. Mathematics of Computation. 75(255). 1155–1175. 137 indexed citations

7.

Lie, Johan & Jan M. Nordbotten. (2006). Inverse Scale Spaces for Nonlinear Regularization. Journal of Mathematical Imaging and Vision. 27(1). 41–50. 13 indexed citations

8.

Tajik, A. Jamil, J B Seward, Donald J. Hagler, D D Mair, & Johan Lie. (1978). Two-dimensional real-time ultrasonic imaging of the heart and great vessels. Technique, image orientation, structure identification, and validation.. PubMed. 53(5). 271–303. 516 indexed citations breakdown →

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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