Alexander Kensert

470 total citations
14 papers, 316 citations indexed

About

Alexander Kensert is a scholar working on Spectroscopy, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Alexander Kensert has authored 14 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Spectroscopy, 6 papers in Molecular Biology and 6 papers in Computational Theory and Mathematics. Recurrent topics in Alexander Kensert's work include Analytical Chemistry and Chromatography (7 papers), Computational Drug Discovery Methods (6 papers) and Microfluidic and Capillary Electrophoresis Applications (4 papers). Alexander Kensert is often cited by papers focused on Analytical Chemistry and Chromatography (7 papers), Computational Drug Discovery Methods (6 papers) and Microfluidic and Capillary Electrophoresis Applications (4 papers). Alexander Kensert collaborates with scholars based in Belgium, Sweden and Germany. Alexander Kensert's co-authors include Ola Spjuth, Philip J. Harrison, Deirdre Cabooter, Gert Desmet, Kyriakos Efthymiadis, Peter Van den Broeck, Jonathan Alvarsson, Ulf Norinder, Robbin Bouwmeester and Séverine Vermeire and has published in prestigious journals such as Analytical Chemistry, Journal of Chromatography A and Analytica Chimica Acta.

In The Last Decade

Alexander Kensert

13 papers receiving 310 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alexander Kensert Belgium	9	107	73	72	61	59	14	316
Marcos Gestal Spain	13	131 1.2×	14 0.2×	91 1.3×	45 0.7×	53 0.9×	40	402
Fahimeh Ghasemi Iran	10	177 1.7×	18 0.2×	206 2.9×	68 1.1×	27 0.5×	23	472
Walker H. Land United States	10	123 1.1×	26 0.4×	14 0.2×	47 0.8×	26 0.4×	56	412
Nematollah Omidikia Iran	11	52 0.5×	71 1.0×	30 0.4×	66 1.1×	255 4.3×	32	339
Kevin Mendez United States	9	211 2.0×	22 0.3×	21 0.3×	39 0.6×	39 0.7×	24	378
Hu Li China	8	86 0.8×	39 0.5×	121 1.7×	14 0.2×	26 0.4×	34	386
Zhaoxian Zhou United States	9	95 0.9×	11 0.2×	135 1.9×	23 0.4×	10 0.2×	35	416
Nereida Rodríguez-Fernández Spain	7	128 1.2×	14 0.2×	175 2.4×	23 0.4×	9 0.2×	15	517
X. Z. Wang United Kingdom	9	15 0.1×	20 0.3×	15 0.2×	50 0.8×	161 2.7×	15	394
Jiang Jian China	8	132 1.2×	9 0.1×	70 1.0×	31 0.5×	14 0.2×	19	435

Countries citing papers authored by Alexander Kensert

Since Specialization

Citations

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

Fields of papers citing papers by Alexander Kensert

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Kensert

This figure shows the co-authorship network connecting the top 25 collaborators of Alexander Kensert. A scholar is included among the top collaborators of Alexander Kensert 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 Alexander Kensert. Alexander Kensert 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

Kensert, Alexander, Gert Desmet, & Deirdre Cabooter. (2024). A hands-on tutorial on quantitative structure-activity relationships using fully expressive graph neural networks. Analytica Chimica Acta. 1331. 343046–343046. 2 indexed citations

Kensert, Alexander, Pieter Libin, Gert Desmet, & Deirdre Cabooter. (2024). Deep reinforcement learning for the direct optimization of gradient separations in liquid chromatography. Journal of Chromatography A. 1720. 464768–464768. 8 indexed citations

Kensert, Alexander, Gert Desmet, & Deirdre Cabooter. (2024). MolGraph: a Python package for the implementation of molecular graphs and graph neural networks with TensorFlow and Keras. Journal of Computer-Aided Molecular Design. 39(1). 3–3. 5 indexed citations

Kensert, Alexander, et al.. (2023). Automated method development in high-pressure liquid chromatography. Journal of Chromatography A. 1714. 464577–464577. 11 indexed citations

Kensert, Alexander, Gert Desmet, & Deirdre Cabooter. (2023). A perspective on the use of deep deterministic policy gradient reinforcement learning for retention time modeling in reversed-phase liquid chromatography. Journal of Chromatography A. 1713. 464570–464570. 4 indexed citations

Outtier, An, Sebastian G. Wicha, Alexander Kensert, et al.. (2022). Multi‐model averaging improves the performance of model‐guided infliximab dosing in patients with inflammatory bowel diseases. CPT Pharmacometrics & Systems Pharmacology. 11(8). 1045–1059. 20 indexed citations

Kensert, Alexander, et al.. (2022). Convolutional neural network for automated peak detection in reversed-phase liquid chromatography. Journal of Chromatography A. 1672. 463005–463005. 19 indexed citations

Kensert, Alexander, Gert Desmet, & Deirdre Cabooter. (2022). Graph Neural Networks for Improved Retention Time Predictions. Lirias (KU Leuven). 410–413.

Kensert, Alexander, et al.. (2021). Deep convolutional autoencoder for the simultaneous removal of baseline noise and baseline drift in chromatograms. Journal of Chromatography A. 1646. 462093–462093. 28 indexed citations

10.

Kensert, Alexander, et al.. (2021). Deep Q-learning for the selection of optimal isocratic scouting runs in liquid chromatography. Journal of Chromatography A. 1638. 461900–461900. 18 indexed citations

11.

Kensert, Alexander, Robbin Bouwmeester, Kyriakos Efthymiadis, et al.. (2021). Graph Convolutional Networks for Improved Prediction and Interpretability of Chromatographic Retention Data. Analytical Chemistry. 93(47). 15633–15641. 34 indexed citations

12.

Kensert, Alexander, Philip J. Harrison, & Ola Spjuth. (2019). Transfer Learning with Deep Convolutional Neural Networks for Classifying Cellular Morphological Changes. SLAS DISCOVERY. 24(4). 466–475. 117 indexed citations

13.

Mignot, Mélanie, et al.. (2019). Fast liquid chromatography-tandem mass spectrometry methodology for the analysis of alkylphenols and their ethoxylates in wastewater samples from the tank truck cleaning industry. Analytical and Bioanalytical Chemistry. 411(8). 1611–1621. 9 indexed citations

14.

Kensert, Alexander, Jonathan Alvarsson, Ulf Norinder, & Ola Spjuth. (2018). Evaluating parameters for ligand-based modeling with random forest on sparse data sets. Journal of Cheminformatics. 10(1). 49–49. 41 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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