Anna A. Ivanova

788 total citations · 1 hit paper
16 papers, 331 citations indexed

About

Anna A. Ivanova is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Developmental and Educational Psychology. According to data from OpenAlex, Anna A. Ivanova has authored 16 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cognitive Neuroscience, 5 papers in Artificial Intelligence and 5 papers in Developmental and Educational Psychology. Recurrent topics in Anna A. Ivanova's work include Neurobiology of Language and Bilingualism (8 papers), Functional Brain Connectivity Studies (4 papers) and Action Observation and Synchronization (3 papers). Anna A. Ivanova is often cited by papers focused on Neurobiology of Language and Bilingualism (8 papers), Functional Brain Connectivity Studies (4 papers) and Action Observation and Synchronization (3 papers). Anna A. Ivanova collaborates with scholars based in United States, Russia and United Kingdom. Anna A. Ivanova's co-authors include Evelina Fedorenko, Tamar I. Regev, Marina Umaschi Bers, Hope Kean, Zachary Mineroff, Una-May O’Reilly, Shashank Srikant, Vitor Zimmerer, Rosemary Varley and Nancy Kanwisher and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nature reviews. Neuroscience and Trends in Cognitive Sciences.

In The Last Decade

Anna A. Ivanova

16 papers receiving 329 citations

Hit Papers

align trajectories

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 language network as a natural kind within the broader landscape of the human brain

2024 80 citations Evelina Fedorenko, Anna A. Ivanova et al. Nature reviews. Neuroscience profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anna A. Ivanova United States	7	201	100	45	42	38	16	331
Hope Kean United States	7	206 1.0×	106 1.1×	33 0.7×	40 1.0×	50 1.3×	12	275
Ed Vul United States	9	312 1.6×	38 0.4×	54 1.2×	81 1.9×	35 0.9×	21	417
Fatma Deniz United States	6	157 0.8×	52 0.5×	34 0.8×	43 1.0×	46 1.2×	12	243
Doug Markant United States	4	92 0.5×	40 0.4×	31 0.7×	56 1.3×	25 0.7×	6	217
Jonathan T. McClain United States	5	123 0.6×	58 0.6×	35 0.8×	44 1.0×	37 1.0×	8	279
Leila Wehbe United States	12	396 2.0×	98 1.0×	58 1.3×	178 4.2×	86 2.3×	28	566
Nicholas C. Hindy United States	9	280 1.4×	73 0.7×	89 2.0×	24 0.6×	75 2.0×	14	359
Moataz Assem United Kingdom	12	405 2.0×	64 0.6×	59 1.3×	144 3.4×	32 0.8×	24	626
Marijan Palmović Croatia	10	97 0.5×	153 1.5×	151 3.4×	51 1.2×	28 0.7×	33	425
Carola Wiklund‐Hörnqvist Sweden	10	218 1.1×	127 1.3×	94 2.1×	53 1.3×	30 0.8×	21	351

Countries citing papers authored by Anna A. Ivanova

Since Specialization

Citations

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

Fields of papers citing papers by Anna A. Ivanova

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anna A. Ivanova. 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 Anna A. Ivanova. The network helps show where Anna A. Ivanova may publish in the future.

Co-authorship network of co-authors of Anna A. Ivanova

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

All Works

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16 of 16 papers shown

Fedorenko, Evelina, Anna A. Ivanova, & Tamar I. Regev. (2025). Reply to ‘Language is widely distributed throughout the brain’. Nature reviews. Neuroscience. 26(3). 190–191. 1 indexed citations

Ivanova, Anna A.. (2025). How to evaluate the cognitive abilities of LLMs. Nature Human Behaviour. 9(2). 230–233. 3 indexed citations

Paunov, Alexander, et al.. (2024). The Language Network Reliably “Tracks” Naturalistic Meaningful Nonverbal Stimuli. SHILAP Revista de lepidopterología. 5(2). 385–408. 6 indexed citations

Fedorenko, Evelina, Anna A. Ivanova, & Tamar I. Regev. (2024). The language network as a natural kind within the broader landscape of the human brain. Nature reviews. Neuroscience. 25(5). 289–312. 80 indexed citations breakdown →

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

Benn, Yael, et al.. (2023). The language network is not engaged in object categorization. Cerebral Cortex. 33(19). 10380–10400. 6 indexed citations

Lipkin, Benjamin, Greta Tuckute, Josef Affourtit, et al.. (2022). Probabilistic atlas for the language network based on precision fMRI data from >800 individuals. Scientific Data. 9(1). 529–529. 67 indexed citations

Ivanova, Anna A., Martin Schrimpf, Stefano Anzellotti, et al.. (2022). Beyond linear regression: mapping models in cognitive neuroscience should align with research goals. arXiv (Cornell University). 1. 2 indexed citations

Ivanova, Anna A., Zachary Mineroff, Vitor Zimmerer, et al.. (2021). The Language Network Is Recruited but Not Required for Nonverbal Event Semantics. SHILAP Revista de lepidopterología. 2(2). 176–201. 33 indexed citations

10.

Ivanova, Anna A., Shashank Srikant, Hope Kean, et al.. (2020). Comprehension of computer code relies primarily on domain-general executive brain regions. eLife. 9. 59 indexed citations

11.

Ivanova, Anna A., Martin Schrimpf, Leyla Işık, et al.. (2020). Is it that simple? The use of linear models in cognitive neuroscience. 1 indexed citations

12.

Ivanova, Anna A., et al.. (2020). The Realisation Of Lingvo-Cognitive Paradigm Constituents Of Present Perfect Continuousforms. The European Proceedings of Social & Behavioural Sciences. 521–528. 1 indexed citations

13.

Ivanova, Anna A. & Matthias Höfer. (2020). Linguistic Overhypotheses in Category Learning: Explaining the Label Advantage Effect. eScholarship (California Digital Library). 1 indexed citations

14.

Fedorenko, Evelina, et al.. (2019). The Language of Programming: A Cognitive Perspective. Trends in Cognitive Sciences. 23(7). 525–528. 49 indexed citations

15.

Ivanova, Anna A., Eran Zaidel, Noriko Salamon, et al.. (2017). Intrinsic functional organization of putative language networks in the brain following left cerebral hemispherectomy. Brain Structure and Function. 222(8). 3795–3805. 18 indexed citations

16.

Ivanova, Anna A., et al.. (2017). Autobiographical memory in transsexual individuals who have undergone genderaffirming surgery: Vivid, self-focused, but not so happy childhood memories. Psychology in Russia State of Art. 10(2). 42–62. 3 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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