Anna A. Ivanova
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
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- Topic Modeling
- Natural Language Processing Techniques
- Speech and dialogue systems
- AI in Service Interactions
Papers in
- Law 4
- Legal and Policy Issues 4
-
- Security, Politics, and Digital Transformation 1
- Co-authors
- Kyle Mahowald (1 shared paper)Idan Blank (1 shared paper)Joshua B. Tenenbaum (1 shared paper)Evelina Fedorenko (1 shared paper)Nancy Kanwisher (1 shared paper)Suzanne Barker‐Collo (1 shared paper)Peter Valkovič (1 shared paper)Kelly Jones (1 shared paper)
- Journals
- Journal of the Neurological Sciences (1 paper)Trends in Cognitive Sciences (1 paper)Lex Russica (1 paper)Bulletin of Udmurt University Series Economics and Law (1 paper)Actual Problems of Economics and Law (1 paper)
- Partner nations
- RussiaNew ZealandCzechia
In The Last Decade
Anna A. Ivanova
4 papers receiving 136 citations
Anna A. Ivanova's Hit Papers
Peers
Comparison fields: 5 of 53
- Health Informatics 12
- Artificial Intelligence 75
- Cognitive Neuroscience 23
- Experimental and Cognitive Psychology 13
- Cultural Studies 8
Countries citing papers authored by Anna A. Ivanova
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
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-authors
The 10 scholars most cited alongside Anna A. Ivanova, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Dissociating language and thought in large language models Hit paper breakdown → | 2024 | 140 |
| 2 | 2015 | 3 | |
| 3 | 2022 | 1 | |
| 4 | 2023 | 1 | |
| 5 | 2021 | 1 | |
| 6 | 2021 | 0 |
About Anna A. Ivanova
Anna A. Ivanova is a scholar working on Law, Political Science and International Relations, Neurology, Cognitive Neuroscience and Artificial Intelligence, having authored 6 papers that have together received 146 indexed citations. Recurring topics across this work include Legal and Policy Issues (4 papers), Natural Language Processing Techniques (1 paper), Traumatic Brain Injury and Neurovascular Disturbances (1 paper), Security, Politics, and Digital Transformation (1 paper), Neurobiology of Language and Bilingualism (1 paper), Topic Modeling (1 paper) and Legal and Regulatory Analysis (1 paper). The work is most often cited by research in Health Informatics (12 citations), Artificial Intelligence (75 citations), Cognitive Neuroscience (23 citations), Experimental and Cognitive Psychology (13 citations) and Cultural Studies (8 citations). Anna A. Ivanova has collaborated with scholars based in Russia, New Zealand and Czechia. Frequent co-authors include Kyle Mahowald, Idan Blank, Joshua B. Tenenbaum, Evelina Fedorenko, Nancy Kanwisher, Suzanne Barker‐Collo, Peter Valkovič, Kelly Jones, Valery L. Feigin and Marek Majdán. Their work appears in journals such as Journal of the Neurological Sciences, Trends in Cognitive Sciences, Lex Russica, Bulletin of Udmurt University Series Economics and Law and Actual Problems of Economics and Law.
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.