Rob Haelterman

1.3k total citations · 1 hit paper
47 papers, 897 citations indexed

About

Rob Haelterman is a scholar working on Numerical Analysis, Computational Mechanics and Aerospace Engineering. According to data from OpenAlex, Rob Haelterman has authored 47 papers receiving a total of 897 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Numerical Analysis, 12 papers in Computational Mechanics and 12 papers in Aerospace Engineering. Recurrent topics in Rob Haelterman's work include Iterative Methods for Nonlinear Equations (7 papers), Advanced Numerical Methods in Computational Mathematics (7 papers) and Numerical methods for differential equations (6 papers). Rob Haelterman is often cited by papers focused on Iterative Methods for Nonlinear Equations (7 papers), Advanced Numerical Methods in Computational Mathematics (7 papers) and Numerical methods for differential equations (6 papers). Rob Haelterman collaborates with scholars based in Belgium, Tunisia and Netherlands. Rob Haelterman's co-authors include Michal Shimoni, Christiaan Perneel, Joris Degroote, Jan Vierendeels, Peter Bruggeman, Sebastiaan Annerel, Klaudius Scheufele, Miriam Mehl, Benjamin Uekérmann and Patrick Segers and has published in prestigious journals such as Sensors, International Journal for Numerical Methods in Engineering and Computer Physics Communications.

In The Last Decade

Rob Haelterman

41 papers receiving 868 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Hyperspectral Imaging for Military and Security Applications: Combining Myriad Processing and Sensing Techniques

2019 339 citations Michal Shimoni, Rob Haelterman et al. profile →

Peers

Countries citing papers authored by Rob Haelterman

Since Specialization

Citations

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

Fields of papers citing papers by Rob Haelterman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rob Haelterman

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	MineInsight: A Multi-Sensor Dataset for Humanitarian Demining Robotics in Off-Road Environments 2025 ·IEEE Robotics and Automation Letters ·(unknown), (unknown), (unknown), Geert De Cubber, (unknown), Eric Demeester, Rob Haelterman	0
2	Depth-Visual-Inertial (DVI) Mapping System for Robust Indoor 3D Reconstruction 2024 ·IEEE Robotics and Automation Letters ·(unknown), (unknown), Hiêp Luong, Rob Haelterman	0
3	Visual-based Localization Methods for Unmanned Aerial Vehicles in Landing Operation on Maritime Vessel 2024 ·ACTA IMEKO ·(unknown), (unknown), (unknown), (unknown), Geert De Cubber, Rob Haelterman, Bart Janssens	0
4	Fast and Cost-Effective UWB Anchor Position Calibration Using a Portable SLAM System 2024 ·IEEE Sensors Journal ·(unknown), (unknown), (unknown), Hiêp Luong, Rob Haelterman	5
5	Ovitrap Monitor - Online application for counting mosquito eggs and visualisation toolbox in support of health services 2023 ·Ecological Informatics ·(unknown), Verónica Andreo, (unknown), Charles Beumier, (unknown), Ximena Porcasi, Laura López, (unknown), Rob Haelterman, Michal Shimoni, Carlos Marcelo Scavuzzo	4
6	From Depth Sensing to Deep Depth Estimation for 3D Reconstruction: Open Challenges 2023 ·Ghent University Academic Bibliography (Ghent University) ·(unknown), Hiêp Luong, Rob Haelterman	1
7	Secant Update generalized version of PSB: a new approach 2021 ·Computational Optimization and Applications ·(unknown), Rob Haelterman, Joris Degroote	5
8	Secant update version of quasi-Newton PSB with weighted multisecant equations 2020 ·Computational Optimization and Applications ·(unknown), Rob Haelterman, Joris Degroote	4
9	RF plasma simulations using the TOMATOR 1D code: a case study for TCV helium ECRH plasmas 2020 ·Plasma Physics and Controlled Fusion ·T. Wauters, J. Buermans, Rob Haelterman, V.Е. Moiseenko, D. Ricci, Tom Verhaeghe, S. Coda, D. Douai, A. Hakola, A. Lyssoivan, D. Van Eester, (unknown), (unknown)	5
10	Coupling of partitioned physics codes with quasi-Newton methods 2017 ·Ghent University Academic Bibliography (Ghent University) ·Rob Haelterman, (unknown), Joris Degroote, (unknown)	1
11	Improving the performance of the partitioned QN-ILS procedure for fluid–structure interaction problems: Filtering 2016 ·Computers & Structures ·Rob Haelterman, (unknown), Klaudius Scheufele, Benjamin Uekérmann, Miriam Mehl	50
12	Equivalence of QN–LS and BQN–LS for affine problems 2014 ·Journal of Computational and Applied Mathematics ·Rob Haelterman, (unknown), (unknown), (unknown)	2
13	Accelerating the solution of a physics model inside a tokamak using the (Inverse) Column Updating Method 2014 ·Journal of Computational and Applied Mathematics ·Rob Haelterman, D. Van Eester, (unknown)	5
14	On the non-singularity of the quasi-Newton-least squares method 2013 ·Journal of Computational and Applied Mathematics ·Rob Haelterman, (unknown), (unknown), (unknown), Jan Vierendeels	4
15	Short temporal change detection in complex urban area 2013 ·Michal Shimoni, Rob Haelterman, Christiaan Perneel	2
16	Multi-stage solvers optimized for damping and propagation 2011 ·Journal of Computational and Applied Mathematics ·Rob Haelterman, Jan Vierendeels, (unknown), (unknown), (unknown)	1
17	Optimization of the Runge–Kutta iteration with residual smoothing 2010 ·Journal of Computational and Applied Mathematics ·Rob Haelterman, Jan Vierendeels, (unknown)	3
18	Performance of partitioned procedures in fluid–structure interaction 2010 ·Computers & Structures ·Joris Degroote, Rob Haelterman, Sebastiaan Annerel, Peter Bruggeman, Jan Vierendeels	126
19	Bubble simulations with an interface tracking technique based on a partitioned fluid–structure interaction algorithm 2009 ·Journal of Computational and Applied Mathematics ·Joris Degroote, Peter Bruggeman, Rob Haelterman, Jan Vierendeels	5
20	A generalization of the Runge–Kutta iteration 2008 ·Journal of Computational and Applied Mathematics ·Rob Haelterman, Jan Vierendeels, (unknown)	4

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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