Florian Sense

436 total citations
31 papers, 198 citations indexed

About

Florian Sense is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Developmental and Educational Psychology. According to data from OpenAlex, Florian Sense has authored 31 papers receiving a total of 198 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 12 papers in Cognitive Neuroscience and 7 papers in Developmental and Educational Psychology. Recurrent topics in Florian Sense's work include Intelligent Tutoring Systems and Adaptive Learning (12 papers), Topic Modeling (7 papers) and Neural and Behavioral Psychology Studies (5 papers). Florian Sense is often cited by papers focused on Intelligent Tutoring Systems and Adaptive Learning (12 papers), Topic Modeling (7 papers) and Neural and Behavioral Psychology Studies (5 papers). Florian Sense collaborates with scholars based in Netherlands, United States and United Kingdom. Florian Sense's co-authors include Hedderik van Rijn, M. van der Velde, Rob R. Meijer, Melissa Prince, Andrew Heathcote, Candice C. Morey, Richard D. Morey, Jelmer P. Borst, Martijn Meeter and Hannes Zacher and has published in prestigious journals such as PLoS ONE, Journal of Educational Psychology and Cognition.

In The Last Decade

Florian Sense

27 papers receiving 191 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Florian Sense Netherlands	7	84	69	41	32	28	31	198
Imène Jraidi Canada	8	79 0.9×	71 1.0×	24 0.6×	31 1.0×	49 1.8×	17	180
Amber Chauncey Strain United States	5	36 0.4×	30 0.4×	91 2.2×	29 0.9×	62 2.2×	6	169
Annika Silvervarg Sweden	8	68 0.8×	97 1.4×	33 0.8×	32 1.0×	18 0.6×	20	201
Kristopher Kopp United States	10	162 1.9×	47 0.7×	96 2.3×	15 0.5×	115 4.1×	13	303
Sidney D’Mello United States	4	38 0.5×	143 2.1×	81 2.0×	70 2.2×	49 1.8×	5	233
Julie Gregg United States	7	86 1.0×	25 0.4×	47 1.1×	9 0.3×	48 1.7×	11	151
Megan Wiedbusch United States	10	34 0.4×	73 1.1×	135 3.3×	102 3.2×	48 1.7×	17	263
Irina V. Kapler Canada	4	90 1.1×	81 1.2×	129 3.1×	16 0.5×	67 2.4×	5	247
Nicholas V. Mudrick United States	7	18 0.2×	48 0.7×	94 2.3×	50 1.6×	46 1.6×	11	168
Sophie Thompson‐Lee United Kingdom	3	47 0.6×	59 0.9×	123 3.0×	9 0.3×	32 1.1×	9	230

Countries citing papers authored by Florian Sense

Since Specialization

Citations

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

Fields of papers citing papers by Florian Sense

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Florian Sense

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Sense, Florian, et al.. (2024). Modality Matters: Evidence for the Benefits of Speech‐Based Adaptive Retrieval Practice in Learners with Dyslexia. Topics in Cognitive Science. 17(1). 57–72.

Velde, M. van der, Florian Sense, Jelmer P. Borst, & Hedderik van Rijn. (2024). Large-scale evaluation of cold-start mitigation in adaptive fact learning: Knowing “what” matters more than knowing “who”. User Modeling and User-Adapted Interaction. 34(4). 1467–1491.

Sasin, Edyta, Florian Sense, Mark Nieuwenstein, & Daryl Fougnie. (2022). Training modulates memory-driven capture. Attention Perception & Psychophysics. 84(5). 1509–1518. 5 indexed citations

Velde, M. van der, Florian Sense, Jelmer P. Borst, Leendert van Maanen, & Hedderik van Rijn. (2022). Capturing Dynamic Performance in a Cognitive Model: Estimating ACT‐R Memory Parameters With the Linear Ballistic Accumulator. Topics in Cognitive Science. 14(4). 889–903. 6 indexed citations

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

Sense, Florian, et al.. (2021). Combining Cognitive and Machine Learning Models to Mine CPR Training Histories for Personalized Predictions. Educational Data Mining. 1 indexed citations

Sense, Florian, et al.. (2021). Benefits of Adaptive Learning Transfer From Typing-Based Learning to Speech-Based Learning. Frontiers in Artificial Intelligence. 4. 780131–780131. 4 indexed citations

Velde, M. van der, Florian Sense, Jelmer P. Borst, & Hedderik van Rijn. (2021). Alleviating the Cold Start Problem in Adaptive Learning using Data-Driven Difficulty Estimates. Computational Brain & Behavior. 4(2). 231–249. 17 indexed citations

Sense, Florian, et al.. (2021). Reflections of idiographic long-term memory characteristics in resting-state neuroimaging data. Cognition. 212. 104660–104660. 7 indexed citations

10.

Velde, M. van der, et al.. (2021). Translating a Typing-Based Adaptive Learning Model to Speech-Based L2 Vocabulary Learning. Data Archiving and Networked Services (DANS). 245–250. 3 indexed citations

11.

Collins, Michael G., et al.. (2020). Improving Predictive Accuracy of Models of Learning and Retention Through Bayesian Hierarchical Modeling: An Exploration with the Predictive Performance Equation.. Cognitive Science. 1 indexed citations

12.

Sense, Florian, et al.. (2020). Using K-means Clustering for Out-of-Sample Predictions of Memory Retention.. Cognitive Science. 1 indexed citations

13.

Yperen, Nico W. Van, et al.. (2020). Using the selection, optimization, and compensation model of action-regulation to explain college students’ grades and study satisfaction.. Journal of Educational Psychology. 113(1). 181–196. 12 indexed citations

14.

Sense, Florian, et al.. (2019). Within-Subject Performance on a Real-Life, Complex Task and Traditional Lab Experiments: Measures of Word Learning, Raven Matrices, Tapping, and CPR. Journal of Cognition. 2(1). 12–12. 3 indexed citations

15.

Sense, Florian, et al.. (2019). Keeping Bystanders Active: Resuscitating Resuscitation Skills. Frontiers in Public Health. 7. 177–177. 3 indexed citations

16.

Sense, Florian & Hedderik van Rijn. (2018). Probabilistic motor sequence learning in a virtual reality serial reaction time task. PLoS ONE. 13(6). e0198759–e0198759. 4 indexed citations

17.

Sense, Florian. (2017). Making the most of human memory: Studies on personalized fact-learning and visual working memory. University of Groningen research database (University of Groningen / Centre for Information Technology). 2 indexed citations

18.

Sense, Florian, et al.. (2016). On the Link between Fact Learning and General Cognitive Ability. Cognitive Science. 1 indexed citations

19.

Sense, Florian, Candice C. Morey, Melissa Prince, Andrew Heathcote, & Richard D. Morey. (2016). Opportunity for verbalization does not improve visual change detection performance: A state-trace analysis. Behavior Research Methods. 49(3). 853–862. 29 indexed citations

20.

Sense, Florian, Brad Wyble, & Mark Nieuwenstein. (2013). Working memory consolidation does not necessarily delay response selection: Disentangling the costs of task initiation and execution. Journal of Vision. 13(9). 332–332.

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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