Andrey Zhdanov

1.1k total citations
22 papers, 676 citations indexed

About

Andrey Zhdanov is a scholar working on Cognitive Neuroscience, Atomic and Molecular Physics, and Optics and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Andrey Zhdanov has authored 22 papers receiving a total of 676 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cognitive Neuroscience, 4 papers in Atomic and Molecular Physics, and Optics and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Andrey Zhdanov's work include Neural dynamics and brain function (14 papers), EEG and Brain-Computer Interfaces (10 papers) and Functional Brain Connectivity Studies (10 papers). Andrey Zhdanov is often cited by papers focused on Neural dynamics and brain function (14 papers), EEG and Brain-Computer Interfaces (10 papers) and Functional Brain Connectivity Studies (10 papers). Andrey Zhdanov collaborates with scholars based in Finland, Israel and United States. Andrey Zhdanov's co-authors include Ilana Podlipsky, Boaz Sadeh, Galit Yovel, Talma Hendler, Jyrki P. Mäkelä, Eti Ben Simon, Lauri Parkkonen, Amos Arieli, Vedran Deletis and Pantelis Lioumis and has published in prestigious journals such as PLoS ONE, NeuroImage and Magnetic Resonance in Medicine.

In The Last Decade

Andrey Zhdanov

20 papers receiving 663 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrey Zhdanov Finland 10 508 127 103 85 80 22 676
H. Kolster United States 9 797 1.6× 158 1.2× 53 0.5× 132 1.6× 39 0.5× 24 898
Adam Steel United States 15 519 1.0× 106 0.8× 58 0.6× 51 0.6× 20 0.3× 26 658
Junjie Liu United States 10 712 1.4× 277 2.2× 47 0.5× 63 0.7× 46 0.6× 15 845
Shahin Nasr United States 16 947 1.9× 134 1.1× 150 1.5× 101 1.2× 28 0.3× 47 1.1k
Natalia Zaretskaya Germany 10 461 0.9× 158 1.2× 56 0.5× 41 0.5× 16 0.2× 29 588
Kwan‐Jin Jung United States 11 483 1.0× 261 2.1× 111 1.1× 31 0.4× 21 0.3× 20 670
Michelle Moerel Netherlands 19 1.4k 2.8× 403 3.2× 203 2.0× 39 0.5× 56 0.7× 31 1.6k
Satomi Higuchi Japan 15 371 0.7× 213 1.7× 52 0.5× 278 3.3× 25 0.3× 25 707
Luca Vizioli United States 10 593 1.2× 184 1.4× 160 1.6× 44 0.5× 31 0.4× 28 705
Valur Olafsson United States 12 575 1.1× 426 3.4× 63 0.6× 19 0.2× 77 1.0× 19 982

Countries citing papers authored by Andrey Zhdanov

Since Specialization
Citations

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

Fields of papers citing papers by Andrey Zhdanov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrey Zhdanov

This figure shows the co-authorship network connecting the top 25 collaborators of Andrey Zhdanov. A scholar is included among the top collaborators of Andrey Zhdanov 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 Andrey Zhdanov. Andrey Zhdanov 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
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Zhdanov, Andrey, Jussi Nurminen, Joonas Iivanainen, & Samu Taulu. (2023). A minimum assumption approach to MEG sensor array design. Physics in Medicine and Biology. 68(17). 175030–175030. 8 indexed citations
4.
Zhdanov, Andrey, Jussi Nurminen, & Eric B. Larson. (2018). Helsinki VideoMEG Project: Augmenting magnetoencephalography with synchronized video recordings. MethodsX. 5. 234–243.
5.
Zhdanov, Andrey, Jussi Nurminen, Pamela Baess, et al.. (2015). An Internet-Based Real-Time Audiovisual Link for Dual MEG Recordings. PLoS ONE. 10(6). e0128485–e0128485. 34 indexed citations
6.
Zhdanov, Andrey, Juha Wilenius, Ritva Paetau, Antti Ahonen, & Jyrki P. Mäkelä. (2013). Quantifying the contribution of video in combined video-magnetoencephalographic ictal recordings of epilepsy patients. Epilepsy Research. 105(3). 405–409. 4 indexed citations
7.
Vesanen, Panu T., Jaakko O. Nieminen, Koos C. J. Zevenhoven, et al.. (2013). Hybrid ultra‐low‐field MRI and magnetoencephalography system based on a commercial whole‐head neuromagnetometer. Magnetic Resonance in Medicine. 69(6). 2 indexed citations
8.
Baess, Pamela, Andrey Zhdanov, Lauri Parkkonen, et al.. (2012). MEG dual scanning: a procedure to study real-time auditory interaction between two persons. Frontiers in Human Neuroscience. 6. 83–83. 54 indexed citations
9.
Vesanen, Panu T., Jaakko O. Nieminen, Koos C. J. Zevenhoven, et al.. (2012). Hybrid ultra‐low‐field MRI and magnetoencephalography system based on a commercial whole‐head neuromagnetometer. Magnetic Resonance in Medicine. 69(6). 1795–1804. 80 indexed citations
10.
Lin, Fa‐Hsuan, Panu T. Vesanen, Jaakko O. Nieminen, et al.. (2012). Noise amplification in parallel whole‐head ultra‐low‐field magnetic resonance imaging using 306 detectors. Magnetic Resonance in Medicine. 70(2). 595–600. 1 indexed citations
11.
Lioumis, Pantelis, Andrey Zhdanov, Henri Lehtinen, et al.. (2011). A novel approach for documenting naming errors induced by navigated transcranial magnetic stimulation. Journal of Neuroscience Methods. 204(2). 349–354. 115 indexed citations
12.
Zhdanov, Andrey, et al.. (2011). INFERENCE OF BRAIN MENTAL STATES FROM SPATIO-TEMPORAL ANALYSIS OF EEG SINGLE TRIALS. 59–66. 4 indexed citations
13.
Okon‐Singer, Hadas, Ilana Podlipsky, Tali Siman-Tov, et al.. (2010). Spatio-temporal indications of sub-cortical involvement in leftward bias of spatial attention. NeuroImage. 54(4). 3010–3020. 20 indexed citations
14.
Sadeh, Boaz, Ilana Podlipsky, Andrey Zhdanov, & Galit Yovel. (2010). Event‐related potential and functional MRI measures of face‐selectivity are highly correlated: A simultaneous ERP‐fMRI investigation. Human Brain Mapping. 31(10). 1490–1501. 158 indexed citations
15.
Lerner, Yulia, et al.. (2009). Eyes Wide Shut: Amygdala Mediates Eyes-Closed Effect on Emotional Experience with Music. PLoS ONE. 4(7). e6230–e6230. 53 indexed citations
16.
Okon‐Singer, Hadas, Ilana Podlipsky, Eti Ben Simon, et al.. (2009). Knowing Left from Right: Characterizing Right Hemisphere Dominance for Spatial Attention via Combined EEG/fMRI. NeuroImage. 47. S44–S44. 1 indexed citations
17.
Sadeh, Boaz, Andrey Zhdanov, Ilana Podlipsky, Talma Hendler, & Galit Yovel. (2008). The validity of the face-selective ERP N170 component during simultaneous recording with functional MRI. NeuroImage. 42(2). 778–786. 35 indexed citations
18.
Simon, Eti Ben, Ilana Podlipsky, Amos Arieli, Andrey Zhdanov, & Talma Hendler. (2008). Never Resting Brain: Simultaneous Representation of Two Alpha Related Processes in Humans. PLoS ONE. 3(12). e3984–e3984. 82 indexed citations
19.
Zhdanov, Andrey, Talma Hendler, Leslie G. Ungerleider, & Nathan Intrator. (2007). Inferring Functional Brain States Using Temporal Evolution of Regularized Classifiers. Computational Intelligence and Neuroscience. 2007. 1–8. 9 indexed citations
20.
Zhdanov, Andrey, et al.. (2007). ResearchArticle Inferring Functional Brain States Using Temporal Evolution of Regularized Classifiers. 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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