Gaja Jarosz

656 total citations
27 papers, 278 citations indexed

About

Gaja Jarosz is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology and Developmental and Educational Psychology. According to data from OpenAlex, Gaja Jarosz has authored 27 papers receiving a total of 278 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 15 papers in Experimental and Cognitive Psychology and 6 papers in Developmental and Educational Psychology. Recurrent topics in Gaja Jarosz's work include Phonetics and Phonology Research (15 papers), Natural Language Processing Techniques (14 papers) and Speech and dialogue systems (13 papers). Gaja Jarosz is often cited by papers focused on Phonetics and Phonology Research (15 papers), Natural Language Processing Techniques (14 papers) and Speech and dialogue systems (13 papers). Gaja Jarosz collaborates with scholars based in United States, United Kingdom and Netherlands. Gaja Jarosz's co-authors include Michael R. Brent, Matthew Snover, Jason Zentz, Joe Pater, Brendan O’Connor, Andrew Lamont, Kyle Johnson, Claire Bowern and Rajesh Bhatt and has published in prestigious journals such as Journal of Memory and Language, Cognitive Science and Journal of Child Language.

In The Last Decade

Gaja Jarosz

22 papers receiving 232 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gaja Jarosz United States	11	211	159	55	51	36	27	278
Péter Siptár Hungary	4	143 0.7×	217 1.4×	118 2.1×	37 0.7×	83 2.3×	10	266
Margaret R. MacEachern United States	7	174 0.8×	148 0.9×	57 1.0×	30 0.6×	70 1.9×	11	279
Bogdan Ludusan Germany	8	112 0.5×	131 0.8×	30 0.5×	46 0.9×	18 0.5×	38	184
Bistra Andreeva Germany	8	160 0.8×	250 1.6×	140 2.5×	40 0.8×	72 2.0×	46	311
Miklós Törkenczy Hungary	5	89 0.4×	145 0.9×	73 1.3×	18 0.4×	63 1.8×	15	177
Anne‐Michelle Tessier Canada	9	135 0.6×	185 1.2×	63 1.1×	101 2.0×	48 1.3×	26	272
Frank Zimmerer Germany	7	97 0.5×	150 0.9×	79 1.4×	37 0.7×	38 1.1×	22	191
Annie Rialland France	10	146 0.7×	180 1.1×	144 2.6×	17 0.3×	147 4.1×	46	325
Margaret E. L. Renwick United States	9	76 0.4×	201 1.3×	156 2.8×	61 1.2×	70 1.9×	34	243
Jalal Al‐Tamimi United Kingdom	10	84 0.4×	148 0.9×	81 1.5×	55 1.1×	35 1.0×	19	193

Countries citing papers authored by Gaja Jarosz

Since Specialization

Citations

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

Fields of papers citing papers by Gaja Jarosz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gaja Jarosz

This figure shows the co-authorship network connecting the top 25 collaborators of Gaja Jarosz. A scholar is included among the top collaborators of Gaja Jarosz 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 Gaja Jarosz. Gaja Jarosz 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

Jarosz, Gaja, et al.. (2025). Type and token frequency jointly drive learning of morphology. Journal of Memory and Language. 144. 104666–104666.

Jarosz, Gaja, et al.. (2021). The Credit Problem in parametric stress: A probabilistic approach. Glossa a journal of general linguistics. 6(1). 1 indexed citations

Jarosz, Gaja, et al.. (2019). Evaluating Domain-General Learning ofParametric Stress Typology. University of Massachusetts (UMass) Amherst. 2(1). 383–384. 1 indexed citations

Bhatt, Rajesh, et al.. (2019). Learning syntactic parameters without triggers by assigning credit and blame. Scholarworks (University of Massachusetts Amherst). 2 indexed citations

Jarosz, Gaja, et al.. (2019). Proceedings of the Society for Computation in Linguistics (SCiL) 2019. 22 indexed citations

Lamont, Andrew, et al.. (2019). Learning Exceptionality and Variation with Lexically Scaled MaxEnt. University of Massachusetts (UMass) Amherst. 2(1). 91–101. 4 indexed citations

Jarosz, Gaja. (2018). Computational Modeling of Phonological Learning. Annual Review of Linguistics. 5(1). 67–90. 7 indexed citations

Jarosz, Gaja. (2017). Defying the stimulus: acquisition of complex onsets in Polish. Phonology. 34(2). 269–298. 19 indexed citations

Jarosz, Gaja, et al.. (2017). Learning Parametric Stress without Domain-Specific Mechanisms. Proceedings of the Annual Meetings on Phonology. 4. 5 indexed citations

10.

Jarosz, Gaja, et al.. (2017). Sonority Sequencing in Polish: the Combined Roles of Prior Bias & Experience. Proceedings of the Annual Meetings on Phonology. 4. 6 indexed citations

11.

Jarosz, Gaja. (2016). Learning with Violable Constraints. Oxford University Press eBooks. 1 indexed citations

12.

Jarosz, Gaja. (2016). Learning Opaque and Transparent Interactions in Harmonic Serialism. Proceedings of the Annual Meetings on Phonology. 3. 10 indexed citations

13.

Jarosz, Gaja, et al.. (2014). Cognitive Limitations Impose Advantageous Constraints on Word Segmentation. Cognitive Science. 36(36). 1 indexed citations

14.

Jarosz, Gaja. (2014). Serial Markedness Reduction. Proceedings of the Annual Meetings on Phonology. 1(1). 11 indexed citations

15.

Jarosz, Gaja. (2014). Polish Yers and the Finer Structure of Output-Output Correspondence. Proceedings of the Annual Meeting of the Berkeley Linguistics Society. 31(1). 6 indexed citations

16.

Jarosz, Gaja, et al.. (2014). Learning General Phonological Rules From Distributional Information: A Computational Model. Cognitive Science. 39(3). 647–666. 16 indexed citations

17.

Jarosz, Gaja. (2013). Learning with hidden structure in Optimality Theory and Harmonic Grammar: beyond Robust Interpretive Parsing. Phonology. 30(1). 27–71. 19 indexed citations

18.

Jarosz, Gaja. (2010). Implicational markedness and frequency in constraint-based computational models of phonological learning. Journal of Child Language. 37(3). 565–606. 21 indexed citations

19.

Jarosz, Gaja. (2006). Rich Lexicons and Restrictive Grammars: Maximum Likelihood Learning in Optimality Theory. Rutgers University Community Repository (Rutgers University). 52 indexed citations

20.

Snover, Matthew, Gaja Jarosz, & Michael R. Brent. (2002). Unsupervised learning of morphology using a novel directed search algorithm. 6. 11–20. 33 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