Kurt De Grave

515 total citations
14 papers, 323 citations indexed

About

Kurt De Grave is a scholar working on Molecular Biology, Spectroscopy and Mechanical Engineering. According to data from OpenAlex, Kurt De Grave has authored 14 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Spectroscopy and 3 papers in Mechanical Engineering. Recurrent topics in Kurt De Grave's work include Advanced Proteomics Techniques and Applications (4 papers), Mass Spectrometry Techniques and Applications (4 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). Kurt De Grave is often cited by papers focused on Advanced Proteomics Techniques and Applications (4 papers), Mass Spectrometry Techniques and Applications (4 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). Kurt De Grave collaborates with scholars based in Belgium, United Kingdom and United States. Kurt De Grave's co-authors include Leander Schietgat, Yusuke Ihara, Joel D. Mainland, Raquel Norel, Russ Wolfinger, Guillermo Cecchi, Gustavo Stolovitzky, Pablo Meyer, Celine Vens and Leslie B. Vosshall and has published in prestigious journals such as Science, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Kurt De Grave

12 papers receiving 316 citations

Peers

Countries citing papers authored by Kurt De Grave

Since Specialization

Citations

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

Fields of papers citing papers by Kurt De Grave

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kurt De Grave. 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 Kurt De Grave. The network helps show where Kurt De Grave may publish in the future.

Co-authorship network of co-authors of Kurt De Grave

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

All Works

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14 of 14 papers shown

#	Work	Indexed citations
1	Combining high-throughput imaging in visible and SWIR wavelengths for in-situ porosity prediction in laser powder bed fusion 2024 ·Ghent University Academic Bibliography (Ghent University) ·(unknown), (unknown), Brian G. Booth, Kurt De Grave, (unknown), Wilfried Philips, (unknown)	2
2	Preparation of cellulose tri-acetate membranes for high-alcohol beverages via genetic algorithms and high throughput experimentation 2023 ·Separation and Purification Technology ·(unknown), Kurt De Grave, Ivo F.J. Vankelecom	4
3	Reference dataset and benchmark for reconstructing laser parameters from on-axis video in powder bed fusion of bulk stainless steel 2023 ·SHILAP Revista de lepidopterología ·(unknown), (unknown), Kurt De Grave	2
4	Physics-Informed Neural Networks (PINNs) for Improving a Thermal Model in Stereolithography Applications 2021 ·Procedia CIRP ·(unknown), Agusmian Partogi Ompusunggu, (unknown), Goele Pipeleers, Kurt De Grave, (unknown)	9
5	Active preference learning in product design decisions 2021 ·Procedia CIRP ·(unknown), (unknown), (unknown), Kurt De Grave	0
6	On the complexity of haplotyping a microbial community 2020 ·Bioinformatics ·Samuel M. Nicholls, Wayne Aubrey, Kurt De Grave, Leander Schietgat, Christopher J. Creevey, Amanda Clare	13
7	DESIGN METHODOLOGY FOR ENGINEERING STRUCTURES FEATURING AUTOMATIC DESIGN CONCEPT GENERATION BY CONSTRAINT PROGRAMMING AND OBJECTIVE RANKING BY MULTI-ATTRIBUTE EVALUATION 2020 ·WIT transactions on the built environment ·(unknown), Philip Eyckens, (unknown), (unknown), (unknown), Bert Pluymers, Wim Desmet, Kurt De Grave, (unknown)	1
8	Predicting human olfactory perception from chemical features of odor molecules 2017 ·Science ·(unknown), Richard C. Gerkin, Yuanfang Guan, Amit Dhurandhar, Gábor Turu, Bence Szalai, Joel D. Mainland, Yusuke Ihara, (unknown), Russ Wolfinger, Celine Vens, Leander Schietgat, Kurt De Grave, Raquel Norel, Gustavo Stolovitzky, Guillermo Cecchi, Leslie B. Vosshall, Pablo Meyer	212
9	Designing biomedical proteomics experiments: state-of-the-art and future perspectives 2016 ·Expert Review of Proteomics ·Evelyne Maes, (unknown), Wout Bittremieux, Kurt De Grave, Sven Degroeve, Jef Hooyberghs, Inge Mertens, Geert Baggerman, Jan Ramon, Kris Laukens, Lennart Martens, Dirk Valkenborg	9
10	Prediction of peptide fragment ion intensity: A priori partitioning reconsidered 2014 ·Kurt De Grave, (unknown), (unknown), (unknown), Jan Ramon	0
11	Machine learning applications in proteomics research: How the past can boost the future 2013 ·PROTEOMICS ·(unknown), Wout Bittremieux, Kurt De Grave, Sven Degroeve, Jan Ramon, Kris Laukens, Dirk Valkenborg, Harald Barsnes, Lennart Martens	53
12	Representation of probabilistic scientific knowledge 2013 ·Journal of Biomedical Semantics ·Larisa Soldatova, Andrey Rzhetsky, Kurt De Grave, Ross D. King	11
13	PIUS: peptide identification by unbiased search 2013 ·Bioinformatics ·Eduardo Paulino da Costa, Gerben Menschaert, Walter Luyten, Kurt De Grave, Jan Ramon	5
14	kLog: A Language for Logical and Relational Learning with Kernels 2012 ·Florence Research (University of Florence) ·Paolo Frasconi, Fabrizio Costa, Luc De Raedt, Kurt De Grave	2

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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