Gaja Jarosz
- Artificial Intelligence top 5%
- Experimental and Cognitive Psychology top 10%
- Linguistics and Language top 5%
- Developmental and Educational Psychology
- Language and Linguistics top 10%
- Co-authors
- Michael R. BrentMatthew SnoverJason ZentzBrendan O’ConnorJoe PaterAndrew LamontRajesh BhattClaire Bowern
- Topics
- Phonetics and Phonology Research (15 papers)Natural Language Processing Techniques (14 papers)Speech and dialogue systems (13 papers)
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Gaja Jarosz
22 papers receiving 232 citations
Peers
Comparison fields: 5 of 24
- Artificial Intelligence 211
- Experimental and Cognitive Psychology 159
- Linguistics and Language 55
- Developmental and Educational Psychology 51
- Language and Linguistics 36
Countries citing papers authored by Gaja Jarosz
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | Proceedings of the Society for Computation in Linguistics (SCiL) 2019 | 22 |
| 5 | 4 | |
| 6 | Learning syntactic parameters without triggers by assigning credit and blame | 2 |
| 7 | 7 | |
| 8 | 5 | |
| 9 | 19 | |
| 10 | 6 | |
| 11 | 10 | |
| 12 | 1 | |
| 13 | Cognitive Limitations Impose Advantageous Constraints on Word Segmentation | 1 |
| 14 | 11 | |
| 15 | 6 | |
| 16 | 16 | |
| 17 | 1 | |
| 18 | 19 | |
| 19 | 21 | |
| 20 | 52 |
About Gaja Jarosz
Gaja Jarosz is a scholar working on Experimental and Cognitive Psychology, Linguistics and Language and Artificial Intelligence, having authored 27 papers that have together received 278 indexed citations. Recurring topics across this work include Phonetics and Phonology Research (15 papers), Natural Language Processing Techniques (14 papers) and Speech and dialogue systems (13 papers). The work is most often cited by research in Linguistics and Language (55 citations), Experimental and Cognitive Psychology (159 citations) and Artificial Intelligence (211 citations). Gaja Jarosz has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Michael R. Brent, Matthew Snover, Jason Zentz, Brendan O’Connor, Joe Pater, Andrew Lamont, Rajesh Bhatt, Claire Bowern and Kyle Johnson. Their work appears in journals such as Journal of Memory and Language, Cognitive Science and Journal of Child Language.
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.