Mathijs Franssen

419 total citations
17 papers, 271 citations indexed

About

Mathijs Franssen is a scholar working on Cognitive Neuroscience, Pharmacology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Mathijs Franssen has authored 17 papers receiving a total of 271 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cognitive Neuroscience, 5 papers in Pharmacology and 5 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Mathijs Franssen's work include Pain Management and Placebo Effect (5 papers), Musculoskeletal pain and rehabilitation (5 papers) and Vagus Nerve Stimulation Research (4 papers). Mathijs Franssen is often cited by papers focused on Pain Management and Placebo Effect (5 papers), Musculoskeletal pain and rehabilitation (5 papers) and Vagus Nerve Stimulation Research (4 papers). Mathijs Franssen collaborates with scholars based in Belgium, Netherlands and United States. Mathijs Franssen's co-authors include Johan W.S. Vlaeyen, Ann Meulders, Ilse Van Diest, Andreas von Leupoldt, Martina D’Agostini, Nathalie Claes, Andreas M. Burger, Mathias Weymar, Lukas Van Oudenhove and Omer Van den Bergh and has published in prestigious journals such as Pain, Psychophysiology and Cortex.

In The Last Decade

Mathijs Franssen

16 papers receiving 267 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mathijs Franssen Belgium 9 164 94 79 61 56 17 271
Nathalie Claes Belgium 10 188 1.1× 62 0.7× 44 0.6× 121 2.0× 54 1.0× 15 295
Patrick Skippen Australia 9 203 1.2× 55 0.6× 23 0.3× 34 0.6× 25 0.4× 16 301
Kylie Isenburg United States 9 236 1.4× 180 1.9× 135 1.7× 62 1.0× 106 1.9× 17 417
Kamran Fallahpour Australia 6 311 1.9× 36 0.4× 48 0.6× 60 1.0× 95 1.7× 7 400
Siegfried Othmer United States 10 273 1.7× 22 0.2× 84 1.1× 35 0.6× 156 2.8× 14 434
Vanessa D. Hohn Germany 12 248 1.5× 46 0.5× 146 1.8× 69 1.1× 56 1.0× 19 410
Alexander Otti Germany 10 183 1.1× 26 0.3× 28 0.4× 50 0.8× 121 2.2× 13 346
Indrag K. Lampe Netherlands 8 185 1.1× 31 0.3× 34 0.4× 111 1.8× 122 2.2× 10 362
Arvina Grahl United States 11 375 2.3× 26 0.3× 47 0.6× 73 1.2× 114 2.0× 21 521
Gregory L. Sahlem United States 15 231 1.4× 196 2.1× 22 0.3× 105 1.7× 113 2.0× 35 499

Countries citing papers authored by Mathijs Franssen

Since Specialization
Citations

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

Fields of papers citing papers by Mathijs Franssen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mathijs Franssen

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

All Works

17 of 17 papers shown
1.
Ventura‐Bort, Carlos, Andreas M. Burger, Nathalie Claes, et al.. (2023). Modulating effect of transcutaneous auricular vagus nerve stimulation (taVNS) on salivary alpha-amylase as indirect noradrenergic marker. Brain stimulation. 16(1). 165–165.
2.
D’Agostini, Martina, Nathalie Claes, Mathijs Franssen, Andreas von Leupoldt, & Ilse Van Diest. (2022). Learn to breathe, breathe to learn? No evidence for effects of slow deep breathing at a 0.1 Hz frequency on reversal learning. International Journal of Psychophysiology. 174. 92–107. 4 indexed citations
3.
Ventura‐Bort, Carlos, Andreas M. Burger, Nathalie Claes, et al.. (2022). Evidence for a modulating effect of transcutaneous auricular vagus nerve stimulation (taVNS) on salivary alpha-amylase as indirect noradrenergic marker: A pooled mega-analysis. Brain stimulation. 15(6). 1378–1388. 35 indexed citations
4.
D’Agostini, Martina, Andreas M. Burger, Mathijs Franssen, et al.. (2022). Short bursts of transcutaneous auricular vagus nerve stimulation enhance evoked pupil dilation as a function of stimulation parameters. Cortex. 159. 233–253. 29 indexed citations
5.
D’Agostini, Martina, Andreas M. Burger, Mathijs Franssen, et al.. (2021). Effects of transcutaneous auricular vagus nerve stimulation on reversal learning, tonic pupil size, salivary alpha‐amylase, and cortisol. Psychophysiology. 58(10). e13885–e13885. 36 indexed citations
6.
Houte, Maaike Van Den, Elke Vlemincx, Mathijs Franssen, et al.. (2021). The respiratory occlusion discrimination task: A new paradigm to measure respiratory interoceptive accuracy. Psychophysiology. 58(4). e13760–e13760. 18 indexed citations
7.
Jafari, Hassan, Ali Gholamrezaei, Mathijs Franssen, et al.. (2020). Can Slow Deep Breathing Reduce Pain? An Experimental Study Exploring Mechanisms. Journal of Pain. 21(9-10). 1018–1030. 31 indexed citations
8.
Gatzounis, Rena, et al.. (2020). Investigating Pain-Related Avoidance Behavior using a Robotic Arm-Reaching Paradigm. Journal of Visualized Experiments. 7 indexed citations
9.
Meulders, Ann, et al.. (2020). Avoiding Based on Shades of Gray: Generalization of Pain-Related Avoidance Behavior to Novel Contexts. Journal of Pain. 21(11-12). 1212–1223. 6 indexed citations
10.
Gatzounis, Rena, et al.. (2020). Investigating Pain-Related Avoidance Behavior using a Robotic Arm-Reaching Paradigm. Journal of Visualized Experiments. 2 indexed citations
11.
Franssen, Mathijs, Nathalie Claes, Bram Vervliet, et al.. (2017). Reinstatement after human feature-positive discrimination learning. Behavioural Processes. 137. 73–83. 3 indexed citations
12.
Meulders, Ann, et al.. (2016). Acquisition and extinction of operant pain-related avoidance behavior using a 3 degrees-of-freedom robotic arm. Pain. 157(5). 1094–1104. 63 indexed citations
13.
Claes, Nathalie, Geert Crombez, Mathijs Franssen, & Johan W.S. Vlaeyen. (2016). The impact of Pavlovian cues on pain avoidance: A behavioral study. Learning and Motivation. 56. 73–83. 9 indexed citations
14.
Jennings, Dómhnall J., Eduardo Alonso, Esther Mondragón, Mathijs Franssen, & Charlotte Bonardi. (2013). The effect of stimulus distribution form on the acquisition and rate of conditioned responding: Implications for theory.. Journal of Experimental Psychology Animal Behavior Processes. 39(3). 233–248. 11 indexed citations
15.
Franssen, Mathijs, et al.. (2012). Narrowing down the conditions for extinction of Pavlovian feature-positive discriminations in humans. Learning & Behavior. 40(4). 393–404. 2 indexed citations
16.
Franssen, Mathijs, et al.. (2010). A free software package for a human onlineconditioned suppression preparation. Behavior Research Methods. 42(1). 311–317. 14 indexed citations
17.
Franssen, Mathijs, et al.. (2008). Reinstatement of Pavlovian modulation. 1 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026