Maria V. Ivanova

1.5k total citations
45 papers, 721 citations indexed

About

Maria V. Ivanova is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Maria V. Ivanova has authored 45 papers receiving a total of 721 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Cognitive Neuroscience, 12 papers in Developmental and Educational Psychology and 6 papers in Experimental and Cognitive Psychology. Recurrent topics in Maria V. Ivanova's work include Neurobiology of Language and Bilingualism (31 papers), Reading and Literacy Development (12 papers) and EEG and Brain-Computer Interfaces (8 papers). Maria V. Ivanova is often cited by papers focused on Neurobiology of Language and Bilingualism (31 papers), Reading and Literacy Development (12 papers) and EEG and Brain-Computer Interfaces (8 papers). Maria V. Ivanova collaborates with scholars based in United States, Russia and Netherlands. Maria V. Ivanova's co-authors include Brooke Hallowell, Nina F. Dronkers, Olga Dragoy, Juliana V. Baldo, Yulia Akinina, С. В. Купцова, Dmitry Isaev, And U. Turken, Timothy J. Herron and Svetlana Malyutina and has published in prestigious journals such as PLoS ONE, Neuropsychologia and Human Brain Mapping.

In The Last Decade

Maria V. Ivanova

42 papers receiving 708 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maria V. Ivanova United States 14 567 214 181 94 86 45 721
Sue Ramsden United Kingdom 10 452 0.8× 207 1.0× 89 0.5× 99 1.1× 79 0.9× 11 623
Karine Marcotte Canada 14 569 1.0× 231 1.1× 127 0.7× 43 0.5× 74 0.9× 47 705
Sonia Brownsett Australia 11 629 1.1× 155 0.7× 128 0.7× 54 0.6× 71 0.8× 28 702
Andrew T. DeMarco United States 14 552 1.0× 228 1.1× 74 0.4× 56 0.6× 67 0.8× 39 637
Susan Prejawa United Kingdom 13 621 1.1× 182 0.9× 136 0.8× 94 1.0× 65 0.8× 17 723
Ajay D. Halai United Kingdom 18 933 1.6× 258 1.2× 159 0.9× 88 0.9× 130 1.5× 51 1.1k
Kindle Rising United States 12 669 1.2× 411 1.9× 95 0.5× 53 0.6× 94 1.1× 20 749
Borna Bonakdarpour United States 16 820 1.4× 334 1.6× 131 0.7× 69 0.7× 152 1.8× 42 981
Zoe Woodhead United Kingdom 15 779 1.4× 224 1.0× 105 0.6× 122 1.3× 82 1.0× 38 978
Lauryn Zipse United States 10 640 1.1× 149 0.7× 129 0.7× 92 1.0× 75 0.9× 21 770

Countries citing papers authored by Maria V. Ivanova

Since Specialization
Citations

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

Fields of papers citing papers by Maria V. Ivanova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria V. Ivanova

This figure shows the co-authorship network connecting the top 25 collaborators of Maria V. Ivanova. A scholar is included among the top collaborators of Maria V. 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 Maria V. Ivanova. Maria V. Ivanova 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.
Dronkers, Nina F., et al.. (2025). The neuroanatomy of Broca's aphasia. PubMed. 4.
2.
Ivanova, Maria V., Ioannis Pappas, Ben Inglis, et al.. (2023). Cerebral perfusion in post-stroke aphasia and its relationship to residual language abilities. Brain Communications. 6(1). fcad252–fcad252. 1 indexed citations
3.
Ivanova, Maria V. & Ioannis Pappas. (2023). Understanding recovery of language after stroke: insights from neurovascular MRI studies. PubMed. 2. 1 indexed citations
4.
Baldo, Juliana V., et al.. (2022). The unique role of the frontal aslant tract in speech and language processing. NeuroImage Clinical. 34. 103020–103020. 11 indexed citations
5.
Schendel, Krista, Timothy J. Herron, Brian Curran, et al.. (2021). Case study: A selective tactile naming deficit for letters and numbers due to interhemispheric disconnection. NeuroImage Clinical. 30. 102614–102614. 1 indexed citations
6.
Ivanova, Maria V., et al.. (2021). The Russian Aphasia Test: The first comprehensive, quantitative, standardized, and computerized aphasia language battery in Russian. PLoS ONE. 16(11). e0258946–e0258946. 6 indexed citations
7.
Ivanova, Maria V., et al.. (2021). Functional Contributions of the Arcuate Fasciculus to Language Processing. Frontiers in Human Neuroscience. 15. 672665–672665. 61 indexed citations
8.
Ivanova, Maria V., et al.. (2019). Quantitative Assessment of an Employee Safety Behavior based on the Results of the Behavioural Safety Audit. Occupational Safety in Industry. 52–56. 2 indexed citations
9.
Ivanova, Maria V., et al.. (2018). Neural mechanisms of two different verbal working memory tasks: A VLSM study. Neuropsychologia. 115. 25–41. 25 indexed citations
10.
Dronkers, Nina F., Maria V. Ivanova, & Juliana V. Baldo. (2017). What Do Language Disorders Reveal about Brain–Language Relationships? From Classic Models to Network Approaches. Journal of the International Neuropsychological Society. 23(9-10). 741–754. 26 indexed citations
11.
Ivanova, Maria V., et al.. (2016). Diffusion-tensor imaging of major white matter tracts and their role in language processing in aphasia. Cortex. 85. 165–181. 147 indexed citations
12.
Ivanova, Maria V., et al.. (2015). Development and Standardization of a Test for the Comprehension of Nouns and Verbs in Russian: Data from Individuals with and without Aphasia. 2. 14–21. 1 indexed citations
13.
Scherrer, Yves, et al.. (2014). SwissAdmin: A multilingual tagged parallel corpus of press releases. Language Resources and Evaluation. 1832–1836. 2 indexed citations
14.
Garner, Philip N., Rob Clark, Jean-Philippe Goldman, et al.. (2014). Translation and Prosody in Swiss Languages. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 211–221. 4 indexed citations
15.
Laurinavichyute, Anna, et al.. (2014). Processing lexical ambiguity in sentential context: Eye-tracking data from brain-damaged and non-brain-damaged individuals. Neuropsychologia. 64. 360–373. 8 indexed citations
16.
Ivanova, Maria V., et al.. (2014). The contribution of working memory to language comprehension: differential effect of aphasia type. Aphasiology. 29(6). 645–664. 23 indexed citations
17.
Akinina, Yulia, et al.. (2014). Russian normative data for 375 action pictures and verbs. Behavior Research Methods. 47(3). 691–707. 58 indexed citations
18.
Hallowell, Brooke & Maria V. Ivanova. (2009). Development and standardization of a Multiple-Choice Test of Auditory Comprehension for aphasia in Russian. 17(2). 83–98. 5 indexed citations
19.
Ivanova, Maria V. & Brooke Hallowell. (2009). What can we learn about personal relevance from a naming treatment in mild Semantic Dementia. Brain Impairment. 10(2). 215–215. 1 indexed citations
20.
Ivanova, Maria V. & Brooke Hallowell. (2008). Short form of the Bilingual Aphasia Test in Russian: Psychometric data of persons with aphasia. Aphasiology. 23(5). 544–556. 21 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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