W.J. Melssen

3.6k total citations
48 papers, 2.7k citations indexed

About

W.J. Melssen is a scholar working on Analytical Chemistry, Biophysics and Biomedical Engineering. According to data from OpenAlex, W.J. Melssen has authored 48 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Analytical Chemistry, 15 papers in Biophysics and 13 papers in Biomedical Engineering. Recurrent topics in W.J. Melssen's work include Spectroscopy and Chemometric Analyses (28 papers), Spectroscopy Techniques in Biomedical and Chemical Research (14 papers) and Advanced Chemical Sensor Technologies (12 papers). W.J. Melssen is often cited by papers focused on Spectroscopy and Chemometric Analyses (28 papers), Spectroscopy Techniques in Biomedical and Chemical Research (14 papers) and Advanced Chemical Sensor Technologies (12 papers). W.J. Melssen collaborates with scholars based in Netherlands, Germany and Switzerland. W.J. Melssen's co-authors include L.M.C. Buydens, Bülent Üstün, L.M.C. Buydens, Uwe Thissen, A.P. de Weijer, Willem J.M. Epping, Ron Wehrens, J.R.M. Smits, G. Kateman and Geert Postma and has published in prestigious journals such as Analytical Chemistry, Analytica Chimica Acta and TrAC Trends in Analytical Chemistry.

In The Last Decade

W.J. Melssen

48 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
W.J. Melssen Netherlands 24 980 479 436 380 312 48 2.7k
D. Jouan-Rimbaud Belgium 15 1.1k 1.1× 415 0.9× 386 0.9× 445 1.2× 352 1.1× 16 2.8k
Roy De Maesschalck Belgium 12 720 0.7× 314 0.7× 349 0.8× 305 0.8× 254 0.8× 15 2.4k
L.M.C. Buydens Netherlands 26 954 1.0× 382 0.8× 211 0.5× 316 0.8× 153 0.5× 72 2.3k
Sijmen de Jong Netherlands 21 2.2k 2.3× 713 1.5× 290 0.7× 667 1.8× 484 1.6× 31 4.3k
Peter D. Wentzell Canada 30 1.3k 1.4× 619 1.3× 115 0.3× 294 0.8× 263 0.8× 103 2.7k
M. Daszykowski Poland 29 1.3k 1.3× 507 1.1× 353 0.8× 284 0.7× 198 0.6× 79 3.1k
D.L. Massart Belgium 25 1.6k 1.6× 575 1.2× 133 0.3× 559 1.5× 302 1.0× 48 2.4k
Fredrik Lindgren Sweden 20 1.3k 1.3× 449 0.9× 95 0.2× 367 1.0× 312 1.0× 42 2.9k
Julian Morris United Kingdom 26 750 0.8× 213 0.4× 258 0.6× 250 0.7× 852 2.7× 83 2.1k
Claus A. Andersson United Kingdom 13 1.0k 1.0× 399 0.8× 175 0.4× 151 0.4× 138 0.4× 16 2.5k

Countries citing papers authored by W.J. Melssen

Since Specialization
Citations

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

Fields of papers citing papers by W.J. Melssen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by W.J. Melssen. 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 W.J. Melssen. The network helps show where W.J. Melssen may publish in the future.

Co-authorship network of co-authors of W.J. Melssen

This figure shows the co-authorship network connecting the top 25 collaborators of W.J. Melssen. A scholar is included among the top collaborators of W.J. Melssen 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 W.J. Melssen. W.J. Melssen 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.
Üstün, Bülent, W.J. Melssen, & L.M.C. Buydens. (2007). Visualisation and interpretation of Support Vector Regression models. Analytica Chimica Acta. 595(1-2). 299–309. 125 indexed citations
2.
Wehrens, Ron, W.J. Melssen, L.M.C. Buydens, & R. De Gelder. (2005). Representing structural databases in a self-organizing map. Acta Crystallographica Section B Structural Science. 61(5). 548–557. 11 indexed citations
3.
Simonetti, Arjan W., W.J. Melssen, Fabien Szabo de Edelenyi, et al.. (2005). Combination of feature‐reduced MR spectroscopic and MR imaging data for improved brain tumor classification. NMR in Biomedicine. 18(1). 34–43. 55 indexed citations
4.
Üstün, Bülent, et al.. (2005). Determination of optimal support vector regression parameters by genetic algorithms and simplex optimization. Analytica Chimica Acta. 544(1-2). 292–305. 146 indexed citations
5.
Rijpkema, Mark, et al.. (2003). Multispectral magnetic resonance image analysis using principal component and linear discriminant analysis. Journal of Magnetic Resonance Imaging. 17(2). 261–269. 10 indexed citations
6.
Simonetti, Arjan W., W.J. Melssen, Marinette van der Graaf, et al.. (2003). A Chemometric Approach for Brain Tumor Classification Using Magnetic Resonance Imaging and Spectroscopy. Analytical Chemistry. 75(20). 5352–5361. 55 indexed citations
7.
Melssen, W.J., et al.. (2000). Automatic Correction for Phase Shifts, Frequency Shifts, and Lineshape Distortions across a Series of Single Resonance Lines in Large Spectral Data Sets. Journal of Magnetic Resonance. 144(1). 35–44. 55 indexed citations
8.
Melssen, W.J., et al.. (1998). Predicting nucleic acid torsion angle values using artificial neural networks. Journal of Computer-Aided Molecular Design. 12(1). 53–61. 2 indexed citations
9.
Broek, W.H.A.M. van den, D. Wienke, W.J. Melssen, & L.M.C. Buydens. (1997). A genetic algorithm for optimal filter range selection in infrared imaging spectroscopy. Applied Spectroscopy. 51. 1250–1268. 1 indexed citations
10.
Broek, W.H.A.M. van den, D. Wienke, W.J. Melssen, & L.M.C. Buydens. (1997). Optimal Wavelength Range Selection by a Genetic Algorithm for Discrimination Purposes in Spectroscopic Infrared Imaging. Applied Spectroscopy. 51(8). 1210–1217. 21 indexed citations
11.
Derks, E.P.P.A., et al.. (1996). Parallel processing of chemical information in a local area network—II. A parallel cross-validation procedure for artificial neural networks. Computers & Chemistry. 20(4). 439–448. 25 indexed citations
12.
Wienke, D., et al.. (1996). Near-infrared imaging spectroscopy (NIRIS) and image rank analysis for remote identification of plastics in mixed waste. Fresenius Journal of Analytical Chemistry. 354(7-8). 823–828. 15 indexed citations
13.
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15.
Melssen, W.J., J.R.M. Smits, L.M.C. Buydens, & G. Kateman. (1994). Using artificial neural networks for solving chemical problems. Chemometrics and Intelligent Laboratory Systems. 23(2). 267–291. 71 indexed citations
16.
Smits, J.R.M., et al.. (1993). Drift correction for pattern classification with neural networks. Analytica Chimica Acta. 284(1). 91–105. 7 indexed citations
17.
18.
Melssen, W.J., Willem J.M. Epping, & Ivo H. M. van Stokkum. (1990). Sensitivity for interaural time and intensity difference of auditory midbrain neurons in the grassfrog. Hearing Research. 47(3). 235–256. 8 indexed citations
19.
Melssen, W.J. & Willem J.M. Epping. (1990). A combined sensitivity for frequency and interaural intensity difference in neurons in the auditory midbrain of the grassfrog. Hearing Research. 44(1). 35–49. 8 indexed citations
20.
Melssen, W.J. & Willem J.M. Epping. (1987). Detection and estimation of neural connectivity based on crosscorrelation analysis. Biological Cybernetics. 57(6). 403–414. 128 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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