L. Vanhamme

650 total citations
13 papers, 481 citations indexed

About

L. Vanhamme is a scholar working on Radiology, Nuclear Medicine and Imaging, Nuclear and High Energy Physics and Spectroscopy. According to data from OpenAlex, L. Vanhamme has authored 13 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Nuclear and High Energy Physics and 4 papers in Spectroscopy. Recurrent topics in L. Vanhamme's work include Advanced MRI Techniques and Applications (12 papers), NMR spectroscopy and applications (7 papers) and Advanced NMR Techniques and Applications (4 papers). L. Vanhamme is often cited by papers focused on Advanced MRI Techniques and Applications (12 papers), NMR spectroscopy and applications (7 papers) and Advanced NMR Techniques and Applications (4 papers). L. Vanhamme collaborates with scholars based in Belgium, Netherlands and United Kingdom. L. Vanhamme's co-authors include Sabine Van Huffel, Johan A. K. Suykens, Marinette van der Graaf, Andy Devos, Àngel Moreno‐Torres, A. Rosemary Tate, Carles Arús, Franklyn A. Howe, Carles Majós and Paul Van Hecke and has published in prestigious journals such as Computer Methods and Programs in Biomedicine, NMR in Biomedicine and Journal of Magnetic Resonance.

In The Last Decade

L. Vanhamme

13 papers receiving 447 citations

Peers

L. Vanhamme
Andy Devos Belgium
L. Vanhamme
Citations per year, relative to L. Vanhamme L. Vanhamme (= 1×) peers Andy Devos

Countries citing papers authored by L. Vanhamme

Since Specialization
Citations

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

Fields of papers citing papers by L. Vanhamme

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of L. Vanhamme

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

All Works

13 of 13 papers shown
1.
Vanhamme, L., et al.. (2006). Java-based framework for processing and displaying short-echo-time magnetic resonance spectroscopy signals. Computer Methods and Programs in Biomedicine. 85(2). 129–137. 3 indexed citations
2.
Devos, Andy, Arjan W. Simonetti, Johan A. K. Suykens, et al.. (2005). Does the combination of magnetic resonance imaging and spectroscopic imaging improve the classification of brain tumours?. PubMed. 3. 407–410. 20 indexed citations
3.
Devos, Andy, Arjan W. Simonetti, Marinette van der Graaf, et al.. (2005). The use of multivariate MR imaging intensities versus metabolic data from MR spectroscopic imaging for brain tumour classification. Journal of Magnetic Resonance. 173(2). 218–228. 70 indexed citations
4.
Devos, Andy, Johan A. K. Suykens, L. Vanhamme, et al.. (2004). Classification of brain tumours using short echo time 1H MR spectra. Journal of Magnetic Resonance. 170(1). 164–175. 132 indexed citations
5.
Laudadio, Teresa, Yngve Selén, L. Vanhamme, et al.. (2004). Subspace-based MRS data quantitation of multiplets using prior knowledge. Journal of Magnetic Resonance. 168(1). 53–65. 21 indexed citations
6.
Devos, Andy, Johan A. K. Suykens, L. Vanhamme, et al.. (2004). Brain tumor classification based on long echo proton MRS signals. Artificial Intelligence in Medicine. 31(1). 73–89. 136 indexed citations
7.
Dresselaers, Tom, et al.. (2003). Quantification of the glycogen 13C‐1 NMR signal during glycogen synthesis in perfused rat liver. NMR in Biomedicine. 16(1). 36–46. 4 indexed citations
8.
Laudadio, Teresa, Nicola Mastronardi, L. Vanhamme, Paul Van Hecke, & Sabine Van Huffel. (2002). Improved Lanczos Algorithms for Blackbox MRS Data Quantitation. Journal of Magnetic Resonance. 157(2). 292–297. 81 indexed citations
9.
Wang, Yu, et al.. (2002). Magnetic resonance spectroscopic quantitation via complex principal component analysis. 3. 2074–2077. 1 indexed citations
10.
Wang, Y., Sabine Van Huffel, L. Vanhamme, Nicola Mastronardi, & Paul Van Hecke. (2002). Advanced signal processing methods for quantitation of resonances in magnetic resonance spectra. 63–68. 1 indexed citations
11.
Boogaart, Aad van den, et al.. (2002). A complete software package for MR signal processing. 5. 2130–2132. 2 indexed citations
12.
Vanhamme, L., René in ‘t Zandt, Sabine Van Huffel, & Paul Van Hecke. (2001). Biomedical Magnetic Resonance Spectroscopic Quantitation : a Review of Modern time-domain Analysis Methods. Lund University Publications (Lund University). 1–8. 1 indexed citations
13.
Vanhamme, L. & Sabine Van Huffel. (1998). Multichannel quantification of biomedical magnetic resonance spectroscopic signals. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3461. 237–237. 9 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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