Rivka Levitan

1.3k total citations
37 papers, 881 citations indexed

About

Rivka Levitan is a scholar working on Experimental and Cognitive Psychology, Artificial Intelligence and Language and Linguistics. According to data from OpenAlex, Rivka Levitan has authored 37 papers receiving a total of 881 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Experimental and Cognitive Psychology, 22 papers in Artificial Intelligence and 15 papers in Language and Linguistics. Recurrent topics in Rivka Levitan's work include Speech and dialogue systems (16 papers), Language, Discourse, Communication Strategies (14 papers) and Language, Metaphor, and Cognition (11 papers). Rivka Levitan is often cited by papers focused on Speech and dialogue systems (16 papers), Language, Discourse, Communication Strategies (14 papers) and Language, Metaphor, and Cognition (11 papers). Rivka Levitan collaborates with scholars based in United States, Slovakia and Argentina. Rivka Levitan's co-authors include Julia Hirschberg, Agustı́n Gravano, Štefan Beňuš, Stefan Scherer, Sarah Ita Levitan, Ani Nenkova, Andreas Dittmar Weise, Andrew Rosenberg, Erica Cooper and David K. Elson and has published in prestigious journals such as Knowledge-Based Systems, Journal of Phonetics and Speech Communication.

In The Last Decade

Rivka Levitan

37 papers receiving 765 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rivka Levitan United States 18 510 486 260 253 104 37 881
Štefan Beňuš Slovakia 20 612 1.2× 619 1.3× 312 1.2× 338 1.3× 221 2.1× 91 1.2k
G. K. Doherty United Kingdom 3 399 0.8× 499 1.0× 105 0.4× 307 1.2× 124 1.2× 4 869
Oliver Niebuhr Germany 19 821 1.6× 449 0.9× 148 0.6× 333 1.3× 377 3.6× 155 1.2k
Jason Brenier United States 13 520 1.0× 544 1.1× 134 0.5× 250 1.0× 217 2.1× 17 984
Mattias Heldner Sweden 21 917 1.8× 884 1.8× 171 0.7× 531 2.1× 213 2.0× 90 1.5k
Catherine Sotillo United Kingdom 7 526 1.0× 576 1.2× 89 0.3× 347 1.4× 155 1.5× 11 970
Nigel G. Ward United States 17 415 0.8× 797 1.6× 250 1.0× 311 1.2× 62 0.6× 115 1.2k
Jacqueline Kowtko United Kingdom 5 385 0.8× 696 1.4× 100 0.4× 301 1.2× 118 1.1× 8 981
Cynthia Girand United States 6 577 1.1× 468 1.0× 140 0.5× 257 1.0× 262 2.5× 7 958
Florian Schiel Germany 19 713 1.4× 889 1.8× 71 0.3× 161 0.6× 276 2.7× 85 1.3k

Countries citing papers authored by Rivka Levitan

Since Specialization
Citations

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

Fields of papers citing papers by Rivka Levitan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rivka Levitan

This figure shows the co-authorship network connecting the top 25 collaborators of Rivka Levitan. A scholar is included among the top collaborators of Rivka Levitan 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 Rivka Levitan. Rivka Levitan 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.
Weise, Andreas Dittmar, et al.. (2021). “Talk to me with left, right, and angles”: Lexical entrainment in spoken Hebrew dialogue. 292–299. 2 indexed citations
2.
Weise, Andreas Dittmar, et al.. (2020). Entrainment in spoken Hebrew dialogues. Journal of Phonetics. 83. 101005–101005. 7 indexed citations
3.
Scherer, Stefan, et al.. (2018). A Linguistically-Informed Fusion Approach for Multimodal Depression Detection. 13–24. 26 indexed citations
4.
Scherer, Stefan, et al.. (2017). OpenMM: An Open-Source Multimodal Feature Extraction Tool. 3354–3358. 7 indexed citations
5.
Levitan, Sarah Ita, et al.. (2016). Combining Acoustic-Prosodic, Lexical, and Phonotactic Features for Automatic Deception Detection. 2006–2010. 18 indexed citations
6.
Levitan, Rivka, et al.. (2016). Speech vs. text: A comparative analysis of features for depression detection systems. 136–143. 47 indexed citations
7.
Levitan, Rivka, et al.. (2016). Implementing Acoustic-Prosodic Entrainment in a Conversational Avatar. 1166–1170. 21 indexed citations
8.
Levitan, Rivka & Julia Hirschberg. (2015). Entrainment and Turn-Taking in Human-Human Dialogue. National Conference on Artificial Intelligence. 27 indexed citations
9.
Levitan, Rivka, Štefan Beňuš, Agustı́n Gravano, & Julia Hirschberg. (2015). Acoustic-prosodic entrainment in Slovak, Spanish, English and Chinese: A cross-linguistic comparison. 325–334. 21 indexed citations
10.
Gravano, Agustı́n, Štefan Beňuš, Rivka Levitan, & Julia Hirschberg. (2015). Backward mimicry and forward influence in prosodic contour choice in standard American English. 1839–1843. 4 indexed citations
11.
Levitan, Rivka. (2014). Acoustic-Prosodic Entrainment in Human-Human and Human-Computer Dialogue. Columbia Academic Commons (Columbia University). 20 indexed citations
12.
Beňuš, Štefan, et al.. (2014). Entrainment in Slovak collaborative dialogues. 309–313. 9 indexed citations
13.
Levitan, Rivka, et al.. (2014). Prosodic Entrainment in Mandarin Chinese and English: A Cross-Linguistic Comparison. 65–69. 12 indexed citations
14.
Beňuš, Štefan, et al.. (2014). Entrainment, dominance and alliance in supreme court hearings. Knowledge-Based Systems. 71. 3–14. 18 indexed citations
15.
Gravano, Agustı́n, Štefan Beňuš, Rivka Levitan, & Julia Hirschberg. (2014). Three ToBI-based measures of prosodic entrainment and their correlations with speaker engagement. 578–583. 15 indexed citations
16.
Levitan, Rivka & David K. Elson. (2014). Detecting Retries of Voice Search Queries. 230–235. 5 indexed citations
17.
Levitan, Rivka. (2013). Entrainment in Spoken Dialogue Systems: Adopting, Predicting and Influencing User Behavior. North American Chapter of the Association for Computational Linguistics. 84–90. 8 indexed citations
18.
Rosenberg, Andrew, Erica Cooper, Rivka Levitan, & Julia Hirschberg. (2012). Cross-language prominence detection. 13 indexed citations
19.
Levitan, Rivka, et al.. (2012). Acoustic-Prosodic Entrainment and Social Behavior. 11–19. 67 indexed citations
20.
Levitan, Rivka & Julia Hirschberg. (2011). Measuring acoustic-prosodic entrainment with respect to multiple levels and dimensions. 3081–3084. 106 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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