Bruno Nicenboim

1.7k total citations
22 papers, 739 citations indexed

About

Bruno Nicenboim is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Developmental and Educational Psychology. According to data from OpenAlex, Bruno Nicenboim has authored 22 papers receiving a total of 739 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cognitive Neuroscience, 11 papers in Artificial Intelligence and 7 papers in Developmental and Educational Psychology. Recurrent topics in Bruno Nicenboim's work include Neurobiology of Language and Bilingualism (9 papers), Reading and Literacy Development (7 papers) and Topic Modeling (4 papers). Bruno Nicenboim is often cited by papers focused on Neurobiology of Language and Bilingualism (9 papers), Reading and Literacy Development (7 papers) and Topic Modeling (4 papers). Bruno Nicenboim collaborates with scholars based in Germany, Netherlands and United States. Bruno Nicenboim's co-authors include Shravan Vasishth, Felix Engelmann, Mary E. Beckman, Fangfang Li, Eun Jong Kong, Frank Rösler, Daniel J. Schad, Carolina Gattei, Frank Burchert and Paul‐Christian Bürkner and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Trends in Cognitive Sciences.

In The Last Decade

Bruno Nicenboim

22 papers receiving 722 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bruno Nicenboim Germany 13 417 295 264 217 132 22 739
Juhani Järvikivi Canada 19 637 1.5× 524 1.8× 268 1.0× 505 2.3× 293 2.2× 72 1.1k
Todd M. Bailey United Kingdom 14 371 0.9× 548 1.9× 242 0.9× 404 1.9× 162 1.2× 17 934
Diogo Almeida United States 13 385 0.9× 231 0.8× 168 0.6× 214 1.0× 284 2.2× 27 695
Sarah C. Creel United States 17 492 1.2× 574 1.9× 199 0.8× 542 2.5× 121 0.9× 51 1.0k
Clara C. Levelt Netherlands 12 157 0.4× 436 1.5× 205 0.8× 435 2.0× 128 1.0× 31 802
Mara Breen United States 14 369 0.9× 250 0.8× 186 0.7× 437 2.0× 156 1.2× 28 677
Patrick Rebuschat United Kingdom 19 532 1.3× 775 2.6× 184 0.7× 185 0.9× 484 3.7× 45 1.1k
Melody Dye United States 11 293 0.7× 414 1.4× 254 1.0× 187 0.9× 107 0.8× 25 687
Naomi H. Feldman United States 15 237 0.6× 401 1.4× 343 1.3× 433 2.0× 37 0.3× 51 867
Vered Vaknin‐Nusbaum Israel 16 201 0.5× 522 1.8× 116 0.4× 343 1.6× 91 0.7× 52 822

Countries citing papers authored by Bruno Nicenboim

Since Specialization
Citations

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

Fields of papers citing papers by Bruno Nicenboim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bruno Nicenboim

This figure shows the co-authorship network connecting the top 25 collaborators of Bruno Nicenboim. A scholar is included among the top collaborators of Bruno Nicenboim 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 Bruno Nicenboim. Bruno Nicenboim 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.
Gigerenzer, Gerd, Peter Grünwald, William R. Holmes, et al.. (2025). Is Ockham’s razor losing its edge? New perspectives on the principle of model parsimony. Proceedings of the National Academy of Sciences. 122(5). e2401230121–e2401230121. 5 indexed citations
2.
Nicenboim, Bruno, Wouter De Baene, Eric Postma, et al.. (2025). Predicting cognitive function 3 months after surgery in patients with a glioma. Neuro-Oncology Advances. 7(1). vdaf081–vdaf081. 1 indexed citations
3.
Schad, Daniel J., Bruno Nicenboim, & Shravan Vasishth. (2024). Data aggregation can lead to biased inferences in Bayesian linear mixed models and Bayesian analysis of variance.. Psychological Methods. 30(5). 1133–1168. 3 indexed citations
4.
Kessler, Yoav, et al.. (2023). Computational mechanisms underlying latent value updating of unchosen actions. Science Advances. 9(42). 3 indexed citations
5.
Nicenboim, Bruno, et al.. (2022). Modeling Sonority in Terms of Pitch Intelligibility With the Nucleus Attraction Principle. Cognitive Science. 46(7). e13161–e13161. 3 indexed citations
6.
Schumacher, Petra B., et al.. (2022). A Bayesian Approach to German Personal and Demonstrative Pronouns. Frontiers in Psychology. 12. 672927–672927. 6 indexed citations
7.
Vasishth, Shravan, Himanshu Yadav, Daniel J. Schad, & Bruno Nicenboim. (2022). Sample Size Determination for Bayesian Hierarchical Models Commonly Used in Psycholinguistics. Computational Brain & Behavior. 6(1). 102–126. 12 indexed citations
8.
Schad, Daniel J., Bruno Nicenboim, Paul‐Christian Bürkner, Michael Betancourt, & Shravan Vasishth. (2022). Workflow techniques for the robust use of bayes factors.. Psychological Methods. 28(6). 1404–1426. 56 indexed citations
9.
Nicenboim, Bruno, et al.. (2021). A Computational Evaluation of Two Models of Retrieval Processes in Sentence Processing in Aphasia. Cognitive Science. 45(4). e12956–e12956. 20 indexed citations
10.
Nicenboim, Bruno, Shravan Vasishth, & Frank Rösler. (2020). Are words pre-activated probabilistically during sentence comprehension? Evidence from new data and a Bayesian random-effects meta-analysis using publicly available data. Neuropsychologia. 142. 107427–107427. 47 indexed citations
11.
Vasishth, Shravan, Bruno Nicenboim, Felix Engelmann, & Frank Burchert. (2019). Computational Models of Retrieval Processes in Sentence Processing. Trends in Cognitive Sciences. 23(11). 968–982. 43 indexed citations
12.
Nicenboim, Bruno, et al.. (2018). Exploratory and Confirmatory Analyses in Sentence Processing: A Case Study of Number Interference in German. Cognitive Science. 42(S4). 1075–1100. 61 indexed citations
13.
Nicenboim, Bruno & Shravan Vasishth. (2018). Models of retrieval in sentence comprehension. publish.UP (University of Potsdam). 52 indexed citations
14.
Vasishth, Shravan, Bruno Nicenboim, Mary E. Beckman, Fangfang Li, & Eun Jong Kong. (2018). Bayesian data analysis in the phonetic sciences: A tutorial introduction. Journal of Phonetics. 71. 147–161. 124 indexed citations
15.
Nicenboim, Bruno, Timo B. Roettger, & Shravan Vasishth. (2018). Using meta-analysis for evidence synthesis: The case of incomplete neutralization in German. Journal of Phonetics. 70. 39–55. 32 indexed citations
16.
Nicenboim, Bruno, et al.. (2017). Does antecedent complexity affect ellipsis processing? An empirical investigation. Glossa a journal of general linguistics. 2(1). 3 indexed citations
17.
Nicenboim, Bruno & Shravan Vasishth. (2016). Statistical methods for linguistic research: Foundational Ideas—Part II. Language and Linguistics Compass. 10(11). 591–613. 130 indexed citations
18.
Nicenboim, Bruno, et al.. (2016). When High-Capacity Readers Slow Down and Low-Capacity Readers Speed Up: Working Memory and Locality Effects. Frontiers in Psychology. 7. 280–280. 34 indexed citations
19.
Nicenboim, Bruno, et al.. (2016). Statistical Methods for Linguistic Research: Foundational Ideas – Part I. Language and Linguistics Compass. 10(8). 349–369. 52 indexed citations
20.
Nicenboim, Bruno, Shravan Vasishth, Carolina Gattei, Mariano Sigman, & Reinhold Kliegl. (2015). Working memory differences in long-distance dependency resolution. Frontiers in Psychology. 6. 312–312. 37 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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