Tanya Kraljic

2.1k total citations
12 papers, 1.4k citations indexed

About

Tanya Kraljic is a scholar working on Experimental and Cognitive Psychology, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Tanya Kraljic has authored 12 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Experimental and Cognitive Psychology, 6 papers in Artificial Intelligence and 4 papers in Signal Processing. Recurrent topics in Tanya Kraljic's work include Phonetics and Phonology Research (8 papers), Linguistic Variation and Morphology (3 papers) and Speech and dialogue systems (3 papers). Tanya Kraljic is often cited by papers focused on Phonetics and Phonology Research (8 papers), Linguistic Variation and Morphology (3 papers) and Speech and dialogue systems (3 papers). Tanya Kraljic collaborates with scholars based in United States, Spain and Austria. Tanya Kraljic's co-authors include Arthur G. Samuel, Susan E. Brennan, Rain G. Bosworth, Karen Emmorey, Daniel Kleinman, Victor S. Ferreira and Michal Lahav and has published in prestigious journals such as Psychological Science, Cognition and Cognitive Psychology.

In The Last Decade

Tanya Kraljic

11 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tanya Kraljic United States 10 1.2k 571 485 373 358 12 1.4k
Melissa M. Baese‐Berk United States 19 922 0.8× 567 1.0× 452 0.9× 392 1.1× 333 0.9× 76 1.3k
Roel Smits Netherlands 15 972 0.8× 359 0.6× 477 1.0× 405 1.1× 222 0.6× 21 1.2k
Rajka Smiljanić United States 20 1.1k 0.9× 644 1.1× 411 0.8× 352 0.9× 193 0.5× 62 1.4k
Pierre Hallé France 19 1.3k 1.1× 610 1.1× 464 1.0× 380 1.0× 1.1k 3.0× 60 1.9k
Bronwen G. Evans United Kingdom 13 889 0.8× 260 0.5× 558 1.2× 275 0.7× 238 0.7× 39 1.0k
Andrea G. Levitt United States 17 828 0.7× 226 0.4× 317 0.7× 342 0.9× 469 1.3× 30 1.1k
Meghan Clayards Canada 15 700 0.6× 303 0.5× 312 0.6× 284 0.8× 174 0.5× 50 802
Louis Goldstein United States 3 924 0.8× 150 0.3× 458 0.9× 509 1.4× 218 0.6× 10 1.1k
Susan G. Guion United States 18 1.6k 1.4× 322 0.6× 928 1.9× 669 1.8× 532 1.5× 36 1.8k
Esther Grabe United Kingdom 15 1.0k 0.9× 282 0.5× 528 1.1× 473 1.3× 243 0.7× 23 1.2k

Countries citing papers authored by Tanya Kraljic

Since Specialization
Citations

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

Fields of papers citing papers by Tanya Kraljic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tanya Kraljic

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

All Works

12 of 12 papers shown
1.
Kraljic, Tanya & Michal Lahav. (2024). From Prompt Engineering to Collaborating: A Human-Centered Approach to AI Interfaces. interactions. 31(3). 30–35. 7 indexed citations
2.
Kraljic, Tanya & Arthur G. Samuel. (2011). Perceptual learning evidence for contextually-specific representations. Cognition. 121(3). 459–465. 36 indexed citations
3.
Ferreira, Victor S., et al.. (2011). Do priming effects in dialogue reflect partner- or task-based expectations?. Psychonomic Bulletin & Review. 19(2). 309–316. 15 indexed citations
4.
Emmorey, Karen, Rain G. Bosworth, & Tanya Kraljic. (2009). Visual feedback and self-monitoring of sign language. Journal of Memory and Language. 61(3). 398–411. 38 indexed citations
5.
Samuel, Arthur G. & Tanya Kraljic. (2009). Perceptual learning for speech. Attention Perception & Psychophysics. 71(6). 1207–1218. 197 indexed citations
6.
Samuel, Arthur G. & Tanya Kraljic. (2009). TUTORIAL REVIEW Perceptual learning for speech. 1 indexed citations
7.
Kraljic, Tanya, Arthur G. Samuel, & Susan E. Brennan. (2008). First Impressions and Last Resorts. Psychological Science. 19(4). 332–338. 137 indexed citations
8.
Kraljic, Tanya, Susan E. Brennan, & Arthur G. Samuel. (2007). Accommodating variation: Dialects, idiolects, and speech processing. Cognition. 107(1). 54–81. 139 indexed citations
9.
Kraljic, Tanya & Arthur G. Samuel. (2006). Generalization in perceptual learning for speech. Psychonomic Bulletin & Review. 13(2). 262–268. 236 indexed citations
10.
Kraljic, Tanya & Arthur G. Samuel. (2006). Perceptual adjustments to multiple speakers. Journal of Memory and Language. 56(1). 1–15. 211 indexed citations
11.
Kraljic, Tanya & Arthur G. Samuel. (2005). Perceptual learning for speech: Is there a return to normal?. Cognitive Psychology. 51(2). 141–178. 254 indexed citations
12.
Kraljic, Tanya & Susan E. Brennan. (2004). Prosodic disambiguation of syntactic structure: For the speaker or for the addressee?. Cognitive Psychology. 50(2). 194–231. 125 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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