Tim Van De Looverbosch

474 total citations
17 papers, 333 citations indexed

About

Tim Van De Looverbosch is a scholar working on Plant Science, Analytical Chemistry and Biophysics. According to data from OpenAlex, Tim Van De Looverbosch has authored 17 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Plant Science, 7 papers in Analytical Chemistry and 4 papers in Biophysics. Recurrent topics in Tim Van De Looverbosch's work include Smart Agriculture and AI (7 papers), Spectroscopy and Chemometric Analyses (7 papers) and Postharvest Quality and Shelf Life Management (6 papers). Tim Van De Looverbosch is often cited by papers focused on Smart Agriculture and AI (7 papers), Spectroscopy and Chemometric Analyses (7 papers) and Postharvest Quality and Shelf Life Management (6 papers). Tim Van De Looverbosch collaborates with scholars based in Belgium, Switzerland and Uganda. Tim Van De Looverbosch's co-authors include Pieter Verboven, Bart Nicolaı̈, Jan Sijbers, Agnese Piovesan, Valérie Vancauwenberghe, Md. Hafizur Rahman Bhuiyan, Denis Van Loo, Jan De Beenhouwer, Manuel Dierick and Tinne Tuytelaars and has published in prestigious journals such as Trends in Plant Science, Expert Systems with Applications and Lab on a Chip.

In The Last Decade

Tim Van De Looverbosch

15 papers receiving 320 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tim Van De Looverbosch Belgium	9	191	148	47	39	35	17	333
Mattias van Dael Belgium	10	195 1.0×	197 1.3×	37 0.8×	63 1.6×	35 1.0×	20	353
Jiangong Ni China	10	273 1.4×	202 1.4×	34 0.7×	76 1.9×	22 0.6×	12	448
Guangjun Qiu China	10	128 0.7×	193 1.3×	45 1.0×	96 2.5×	8 0.2×	30	325
Liming Xu China	8	251 1.3×	132 0.9×	12 0.3×	35 0.9×	24 0.7×	15	357
Oscar Leonardo García-Navarrete Colombia	6	200 1.0×	356 2.4×	54 1.1×	146 3.7×	28 0.8×	15	519
Wentai Fang China	11	318 1.7×	92 0.6×	16 0.3×	38 1.0×	34 1.0×	12	422
Mahirah Jahari Malaysia	10	161 0.8×	132 0.9×	57 1.2×	41 1.1×	5 0.1×	26	293
Liangquan Jia China	8	175 0.9×	143 1.0×	15 0.3×	38 1.0×	20 0.6×	24	327
Guanao Zhao China	9	310 1.6×	88 0.6×	15 0.3×	40 1.0×	39 1.1×	9	406
Hequn Tan China	8	150 0.8×	107 0.7×	31 0.7×	66 1.7×	29 0.8×	14	322

Countries citing papers authored by Tim Van De Looverbosch

Since Specialization

Citations

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

Fields of papers citing papers by Tim Van De Looverbosch

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tim Van De Looverbosch. 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 Tim Van De Looverbosch. The network helps show where Tim Van De Looverbosch may publish in the future.

Co-authorship network of co-authors of Tim Van De Looverbosch

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

All Works

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17 of 17 papers shown

Looverbosch, Tim Van De, et al.. (2025). Unbiased identification of cell identity in dense mixed neural cultures. eLife. 13. 1 indexed citations

Daele, Johanna Van Den, Tim Van De Looverbosch, Bob Asselbergh, et al.. (2024). An agarose fluidic chip for high-throughput in toto organoid imaging. Lab on a Chip. 25(2). 235–252. 2 indexed citations

Looverbosch, Tim Van De, et al.. (2024). Proximity adjusted centroid mapping for accurate detection of nuclei in dense 3D cell systems. Computers in Biology and Medicine. 185. 109561–109561.

Looverbosch, Tim Van De, et al.. (2024). X-ray radiography and deep learning for internal quality inspection of pear fruit. Acta Horticulturae. 133–140. 1 indexed citations

Looverbosch, Tim Van De, et al.. (2024). Unbiased identification of cell identity in dense mixed neural cultures. eLife. 13.

Looverbosch, Tim Van De, et al.. (2023). Synthetic data for X-ray CT of healthy and disordered pear fruit using deep learning. Postharvest Biology and Technology. 200. 112342–112342. 18 indexed citations

Looverbosch, Tim Van De, et al.. (2023). Influence of different origins, CA storage conditions and storage times on internal browning in apple and pear cultivars. Acta Horticulturae. 213–220. 2 indexed citations

Looverbosch, Tim Van De, et al.. (2023). Non-destructive internal disorder segmentation in pear fruit by X-ray radiography and AI. Computers and Electronics in Agriculture. 212. 108142–108142. 11 indexed citations

Looverbosch, Tim Van De, et al.. (2022). Non-Destructive Internal Disorder Segmentation in Pear Fruit by X-Ray Radiography and Ai. SSRN Electronic Journal. 1 indexed citations

10.

Looverbosch, Tim Van De, et al.. (2022). Inline nondestructive internal disorder detection in pear fruit using explainable deep anomaly detection on X-ray images. Computers and Electronics in Agriculture. 197. 106962–106962. 34 indexed citations

11.

Looverbosch, Tim Van De, et al.. (2022). Nondestructive high-throughput sugar beet fruit analysis using X-ray CT and deep learning. Computers and Electronics in Agriculture. 200. 107228–107228. 25 indexed citations

12.

Verboven, Pieter, Thijs Defraeye, Agnese Piovesan, et al.. (2022). Multiscale modeling of RQ-DCA storage of different pear cultivars using a hybrid physics-based stochastic approach. Postharvest Biology and Technology. 194. 112083–112083. 8 indexed citations

13.

Piovesan, Agnese, Valérie Vancauwenberghe, Tim Van De Looverbosch, Pieter Verboven, & Bart Nicolaı̈. (2021). X-ray computed tomography for 3D plant imaging. Trends in Plant Science. 26(11). 1171–1185. 90 indexed citations

14.

Looverbosch, Tim Van De, et al.. (2021). Non-destructive internal disorder detection of Conference pears by semantic segmentation of X-ray CT scans using deep learning. Expert Systems with Applications. 176. 114925–114925. 48 indexed citations

15.

Piovesan, Agnese, Tim Van De Looverbosch, Pieter Verboven, et al.. (2020). 4D synchrotron microtomography and pore-network modelling for direct in situ capillary flow visualization in 3D printed microfluidic channels. Lab on a Chip. 20(13). 2403–2411. 10 indexed citations

16.

Looverbosch, Tim Van De, et al.. (2020). Revealing shape variability and cultivar effects on cooling of packaged fruit by combining CT-imaging with explicit CFD modelling. Postharvest Biology and Technology. 162. 111098–111098. 15 indexed citations

17.

Looverbosch, Tim Van De, Md. Hafizur Rahman Bhuiyan, Pieter Verboven, et al.. (2020). Nondestructive internal quality inspection of pear fruit by X-ray CT using machine learning. Food Control. 113. 107170–107170. 67 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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