Carina Kauf

784 total citations · 1 hit paper
7 papers, 286 citations indexed

About

Carina Kauf is a scholar working on Artificial Intelligence, Social Psychology and Cognitive Neuroscience. According to data from OpenAlex, Carina Kauf has authored 7 papers receiving a total of 286 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 2 papers in Social Psychology and 2 papers in Cognitive Neuroscience. Recurrent topics in Carina Kauf's work include Topic Modeling (5 papers), Natural Language Processing Techniques (4 papers) and Syntax, Semantics, Linguistic Variation (2 papers). Carina Kauf is often cited by papers focused on Topic Modeling (5 papers), Natural Language Processing Techniques (4 papers) and Syntax, Semantics, Linguistic Variation (2 papers). Carina Kauf collaborates with scholars based in United States, Germany and Hong Kong. Carina Kauf's co-authors include Evelina Fedorenko, Greta Tuckute, Idan Blank, Nancy Kanwisher, Eghbal A. Hosseini, Martin Schrimpf, Joshua B. Tenenbaum, А. Е. Иванова, Anna A. Ivanova and Alessandro Lenci and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Cognitive Science.

In The Last Decade

Carina Kauf

6 papers receiving 282 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The neural architecture of language: Integrative modeling converges on predictive processing

2021 241 citations Martin Schrimpf, Idan Blank et al. Proceedings of the National Academy of Sciences profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Carina Kauf United States	4	174	136	41	40	38	7	286
Samuel Ritter United States	3	184 1.1×	98 0.7×	52 1.3×	58 1.4×	33 0.9×	5	270
Charlotte Caucheteux France	5	240 1.4×	131 1.0×	40 1.0×	43 1.1×	35 0.9×	6	365
Yair Lakretz France	9	160 0.9×	126 0.9×	86 2.1×	22 0.6×	38 1.0×	12	301
Kristijan Armeni Netherlands	5	184 1.1×	67 0.5×	60 1.5×	30 0.8×	47 1.2×	6	270
Abhilasha Ashok Kumar United States	5	124 0.7×	88 0.6×	43 1.0×	31 0.8×	76 2.0×	13	233
Fatma Deniz United States	6	157 0.9×	43 0.3×	52 1.3×	46 1.1×	34 0.9×	12	243
Cory Shain United States	13	287 1.6×	205 1.5×	170 4.1×	55 1.4×	50 1.3×	25	449
Hope Kean United States	7	206 1.2×	40 0.3×	106 2.6×	50 1.3×	33 0.9×	12	275
Steven Frankland United States	6	150 0.9×	38 0.3×	50 1.2×	69 1.7×	50 1.3×	11	219
Marten van Schijndel United States	12	283 1.6×	291 2.1×	146 3.6×	29 0.7×	53 1.4×	27	487

Countries citing papers authored by Carina Kauf

Since Specialization

Citations

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

Fields of papers citing papers by Carina Kauf

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carina Kauf

This figure shows the co-authorship network connecting the top 25 collaborators of Carina Kauf. A scholar is included among the top collaborators of Carina Kauf 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 Carina Kauf. Carina Kauf 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:

7 of 7 papers shown

1.

Kauf, Carina, Emmanuele Chersoni, Alessandro Lenci, Evelina Fedorenko, & Anna A. Ivanova. (2024). Log Probabilities Are a Reliable Estimate of Semantic Plausibility in Base and Instruction-Tuned Language Models. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 263–277. 1 indexed citations

2.

Kauf, Carina, et al.. (2023). Event Knowledge in Large Language Models: The Gap Between the Impossible and the Unlikely. Cognitive Science. 47(11). e13386–e13386. 26 indexed citations

3.

Kauf, Carina, Greta Tuckute, Roger Lévy, Jacob Andreas, & Evelina Fedorenko. (2023). Lexical-Semantic Content, Not Syntactic Structure, Is the Main Contributor to ANN-Brain Similarity of fMRI Responses in the Language Network. SHILAP Revista de lepidopterología. 5(1). 7–42. 10 indexed citations

4.

Kauf, Carina & А. Е. Иванова. (2023). A Better Way to Do Masked Language Model Scoring. 925–935. 6 indexed citations

5.

Schrimpf, Martin, Idan Blank, Greta Tuckute, et al.. (2021). The neural architecture of language: Integrative modeling converges on predictive processing. Proceedings of the National Academy of Sciences. 118(45). 241 indexed citations breakdown →

6.

Kauf, Carina & Hedde Zeijlstra. (2018). Towards a New Explanation of Sequence of Tense. Proceedings from Semantics and Linguistic Theory. 28. 59–59. 2 indexed citations

7.

Kauf, Carina. (2018). Counteridenticals and dream reports. ZAS Papers in Linguistics. 61. 1–18.

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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