Jelmer P. Borst

2.6k total citations
70 papers, 1.6k citations indexed

About

Jelmer P. Borst is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Information Systems and Management. According to data from OpenAlex, Jelmer P. Borst has authored 70 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Cognitive Neuroscience, 21 papers in Artificial Intelligence and 9 papers in Information Systems and Management. Recurrent topics in Jelmer P. Borst's work include Neural and Behavioral Psychology Studies (33 papers), Neural dynamics and brain function (19 papers) and Functional Brain Connectivity Studies (17 papers). Jelmer P. Borst is often cited by papers focused on Neural and Behavioral Psychology Studies (33 papers), Neural dynamics and brain function (19 papers) and Functional Brain Connectivity Studies (17 papers). Jelmer P. Borst collaborates with scholars based in Netherlands, United States and Germany. Jelmer P. Borst's co-authors include Niels Taatgen, Hedderik van Rijn, John R. Anderson, Marieke K. van Vugt, Dario D. Salvucci, Sander Martens, Leendert van Maanen, Ion Juvina, Marc Schipper and Qiong Zhang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and NeuroImage.

In The Last Decade

Jelmer P. Borst

59 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jelmer P. Borst Netherlands 21 1.1k 320 320 299 187 70 1.6k
Benjamin A. Clegg United States 17 591 0.6× 602 1.9× 101 0.3× 158 0.5× 90 0.5× 105 1.3k
David E. Meyer United States 7 1.2k 1.2× 452 1.4× 97 0.3× 319 1.1× 367 2.0× 8 2.0k
Geoff Ward United Kingdom 23 1.4k 1.3× 169 0.5× 78 0.2× 517 1.7× 338 1.8× 49 1.8k
Timo Partala Finland 13 459 0.4× 385 1.2× 96 0.3× 407 1.4× 120 0.6× 31 1.3k
Richard Cooper United Kingdom 22 885 0.8× 432 1.4× 64 0.2× 358 1.2× 285 1.5× 96 1.7k
Kim‐Phuong L. Vu United States 30 1.8k 1.7× 1.1k 3.5× 143 0.4× 534 1.8× 217 1.2× 128 3.1k
Candice C. Morey United Kingdom 25 2.3k 2.2× 357 1.1× 73 0.2× 1.1k 3.8× 188 1.0× 53 3.1k
Eva Wiese United States 20 802 0.8× 945 3.0× 51 0.2× 229 0.8× 315 1.7× 65 1.5k
Corey J. Bohil United States 16 866 0.8× 333 1.0× 39 0.1× 280 0.9× 134 0.7× 45 1.8k
Evie Vergauwe Switzerland 21 1.6k 1.5× 219 0.7× 54 0.2× 864 2.9× 171 0.9× 56 2.0k

Countries citing papers authored by Jelmer P. Borst

Since Specialization
Citations

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

Fields of papers citing papers by Jelmer P. Borst

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jelmer P. Borst. 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 Jelmer P. Borst. The network helps show where Jelmer P. Borst may publish in the future.

Co-authorship network of co-authors of Jelmer P. Borst

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

All Works

20 of 20 papers shown
1.
Janssen, Christian P., et al.. (2024). PREDICTOR: A tool to predict the timing of the take-over response process in semi-automated driving. Transportation Research Interdisciplinary Perspectives. 27. 101192–101192.
2.
Krause, Joshua, Jacolien van Rij, & Jelmer P. Borst. (2024). Word Type and Frequency Effects on Lexical Decisions Are Process-dependent and Start Early. Journal of Cognitive Neuroscience. 36(10). 2227–2250.
3.
Borst, Jelmer P., et al.. (2023). Inter-individual single-trial classification of MEG data using M-CCA. NeuroImage. 273. 120079–120079. 2 indexed citations
4.
Borst, Jelmer P., et al.. (2023). Decoding study-independent mind-wandering from EEG using convolutional neural networks. Journal of Neural Engineering. 20(2). 26024–26024. 4 indexed citations
5.
Blesa, Manuel, et al.. (2022). Thalamic bursts modulate cortical synchrony locally to switch between states of global functional connectivity in a cognitive task. PLoS Computational Biology. 18(3). e1009407–e1009407. 4 indexed citations
6.
Velde, M. van der, et al.. (2021). Memory Performance in Special Forces: Speedier Responses Explain Improved Retrieval Performance after Physical Exertion. eScholarship (California Digital Library). 43(43). 1 indexed citations
7.
Maanen, Leendert van, et al.. (2021). The Discovery and Interpretation of Evidence Accumulation Stages. Computational Brain & Behavior. 4(4). 395–415. 7 indexed citations
8.
Borst, Jelmer P., et al.. (2020). Distinguishing vigilance decrement and low task demands from mind‐wandering: A machine learning analysis of EEG. European Journal of Neuroscience. 52(9). 4147–4164. 15 indexed citations
9.
Borst, Jelmer P., et al.. (2019). Predicting task-general mind-wandering with EEG. Cognitive Affective & Behavioral Neuroscience. 19(4). 1059–1073. 84 indexed citations
10.
Wirzberger, Maria, Jelmer P. Borst, Josef F. Krems, & Günter Daniel Rey. (2019). An ACT-R approach to investigating mechanisms of performance-related changes in an interrupted learning task. MPG.PuRe (Max Planck Society). 1206–1211. 1 indexed citations
11.
Anderson, John R., Jelmer P. Borst, Jon M. Fincham, et al.. (2018). The Common Time Course of Memory Processes Revealed. Psychological Science. 29(9). 1463–1474. 13 indexed citations
12.
Pachur, Thorsten, et al.. (2016). Strategies for memory-based decision making: Modeling behavioral and neural signatures within a cognitive architecture. Cognition. 157. 77–99. 18 indexed citations
13.
Borst, Jelmer P. & John R. Anderson. (2014). The discovery of processing stages: Analyzing EEG data with hidden semi-Markov models. NeuroImage. 108. 60–73. 44 indexed citations
14.
Borst, Jelmer P., et al.. (2013). Predicting interference in concurrent multitasking. Data Archiving and Networked Services (DANS). 2 indexed citations
15.
Borst, Jelmer P., et al.. (2013). Avoiding the problem state bottleneck by strategic use of the environment. Acta Psychologica. 144(2). 373–379. 17 indexed citations
16.
Borst, Jelmer P., Niels Taatgen, & Hedderik van Rijn. (2011). Using a Model-Based fMRI Analysis Method to Locate the Neural Correlates of a Multitasking Bottleneck. Cognitive Science. 33(33). 1 indexed citations
17.
Borst, Jelmer P., et al.. (2011). Evading a Multitasking Bottleneck: Presenting Intermediate Representations in the Environment. Cognitive Science. 33(33). 2 indexed citations
18.
Borst, Jelmer P., Niels Taatgen, & Hedderik van Rijn. (2011). Using a symbolic process model as input for model-based fMRI analysis: Locating the neural correlates of problem state replacements. NeuroImage. 58(1). 137–147. 23 indexed citations
19.
Borst, Jelmer P., Niels Taatgen, Hedderik van Rijn, & Andrea Stocco. (2010). Testing fMRI predictions of a Cognitive Model of the Problem State Multitasking Bottleneck. eScholarship (California Digital Library). 32(32).
20.
Borst, Jelmer P. & Niels Taatgen. (2007). The Costs of Multitasking in Threaded Cognition. University of Groningen research database (University of Groningen / Centre for Information Technology). 133–138. 16 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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