Alexei Ossadtchi

3.1k total citations · 1 hit paper
63 papers, 2.0k citations indexed

About

Alexei Ossadtchi is a scholar working on Cognitive Neuroscience, Signal Processing and Molecular Biology. According to data from OpenAlex, Alexei Ossadtchi has authored 63 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Cognitive Neuroscience, 11 papers in Signal Processing and 10 papers in Molecular Biology. Recurrent topics in Alexei Ossadtchi's work include EEG and Brain-Computer Interfaces (30 papers), Neural dynamics and brain function (25 papers) and Functional Brain Connectivity Studies (14 papers). Alexei Ossadtchi is often cited by papers focused on EEG and Brain-Computer Interfaces (30 papers), Neural dynamics and brain function (25 papers) and Functional Brain Connectivity Studies (14 papers). Alexei Ossadtchi collaborates with scholars based in Russia, United States and Finland. Alexei Ossadtchi's co-authors include Vladimir A. Mandelshtam, V. Dribinski, H. Reisler, R.E. Greenblatt, Mark E. Pflieger, Richard M. Leahy, Mikhail Lebedev, Анна Шестакова, Vasily Klucharev and Desmond Smith and has published in prestigious journals such as PLoS ONE, NeuroImage and Scientific Reports.

In The Last Decade

Alexei Ossadtchi

57 papers receiving 2.0k 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.

Reconstruction of Abel-transformable images: The Gaussian basis-set expansion Abel transform method

2002 798 citations Alexei Ossadtchi et al. profile →

Peers

Alexei Ossadtchi

CN

AMPO

SPECT

CMN

MB

David Hsu United States

James A. Roberts United States

Johannes J. Fahrenfort Netherlands

Johannes Bernarding Germany

Justin L. Gardner United States

James R. Cavanaugh United States

T. Yagi Japan

Eugene Switkes United States

Darcy S. Peterka United States

B. Maraviglia Italy

David Hsu United States

Alexei Ossadtchi

515 ×0.7

CN

521 ×0.8

AMPO

130 ×0.4

SPECT

436 ×2.2

CMN

195 ×1.0

MB

Citations per year, relative to Alexei Ossadtchi Alexei Ossadtchi (= 1×) peers David Hsu

Countries citing papers authored by Alexei Ossadtchi

Since Specialization

Citations

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

Fields of papers citing papers by Alexei Ossadtchi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexei Ossadtchi

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

All Works

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20 of 20 papers shown

1.

Butorina, Anna, et al.. (2025). Sparse Sensor Layout Design via Recursive Orthogonalization of the Forward Solution Matrix With a Realistic Noises Environment in MEG. IEEE Transactions on Instrumentation and Measurement. 74. 1–13. 1 indexed citations

2.

Skalnaya, Anastasia A., et al.. (2025). Towards stimulation-free automatic electrocorticographic speech mapping in neurosurgery patients. Journal of Neural Engineering. 22(5). 56002–56002. 1 indexed citations

3.

Ossadtchi, Alexei, et al.. (2024). Representational dissimilarity component analysis (ReDisCA). NeuroImage. 301. 120868–120868.

4.

Ossadtchi, Alexei, et al.. (2023). Analysis of the Local Dynamics of Interictal Discharge Propagation Using a Traveling Wave Model. Neuroscience and Behavioral Physiology.

5.

Skalnaya, Anastasia A., et al.. (2022). Speech decoding from a small set of spatially segregated minimally invasive intracranial EEG electrodes with a compact and interpretable neural network. Journal of Neural Engineering. 19(6). 66016–66016. 14 indexed citations

6.

Stroganova, Tatiana A., et al.. (2022). Data-driven approach for the delineation of the irritative zone in epilepsy in MEG. PLoS ONE. 17(10). e0275063–e0275063. 3 indexed citations

7.

Lebedev, Mikhail, et al.. (2021). Cortical and autonomic responses during staged Taoist meditation: Two distinct meditation strategies. PLoS ONE. 16(12). e0260626–e0260626. 13 indexed citations

8.

Klucharev, Vasily, et al.. (2021). MEG signatures of long-term effects of agreement and disagreement with the majority. Scientific Reports. 11(1). 3297–3297. 1 indexed citations

9.

Lebedev, Mikhail, et al.. (2020). Short-delay neurofeedback facilitates training of the parietal alpha rhythm. Journal of Neural Engineering. 17(6). 66012–66012. 21 indexed citations

10.

Ossadtchi, Alexei, et al.. (2020). A P300 Brain-Computer Interface With a Reduced Visual Field. Frontiers in Neuroscience. 14. 604629–604629. 17 indexed citations

11.

Lebedev, Mikhail, et al.. (2019). Decoding Movement From Electrocorticographic Activity: A Review. Frontiers in Neuroinformatics. 13. 74–74. 68 indexed citations

12.

Klucharev, Vasily, et al.. (2017). MEG Signatures of a Perceived Match or Mismatch between Individual and Group Opinions. Frontiers in Neuroscience. 11. 10–10. 158 indexed citations

13.

Ossadtchi, Alexei, et al.. (2017). Latent variable method for automatic adaptation to background states in motor imagery BCI. Journal of Neural Engineering. 15(1). 16004–16004. 6 indexed citations

14.

Okorokova, Elizaveta V., Mikhail Lebedev, Michael D. Linderman, & Alexei Ossadtchi. (2015). A dynamical model improves reconstruction of handwriting from multichannel electromyographic recordings. Frontiers in Neuroscience. 9. 389–389. 13 indexed citations

15.

Ossadtchi, Alexei, et al.. (2015). GALA: group analysis leads to accuracy, a novel approach for solving the inverse problem in exploratory analysis of group MEG recordings. Frontiers in Neuroscience. 9. 107–107. 4 indexed citations

16.

Greenblatt, R.E., Mark E. Pflieger, & Alexei Ossadtchi. (2012). Connectivity measures applied to human brain electrophysiological data. Journal of Neuroscience Methods. 207(1). 1–16. 114 indexed citations

17.

Ossadtchi, Alexei, John C. Mosher, William W. Sutherling, R.E. Greenblatt, & Richard M. Leahy. (2005). Hidden Markov modelling of spike propagation from interictal MEG data. Physics in Medicine and Biology. 50(14). 3447–3469. 7 indexed citations

18.

Leil, Tarek A., Alexei Ossadtchi, Thomas E. Nichols, Richard M. Leahy, & Desmond Smith. (2003). Genes regulated by learning in the hippocampus. Journal of Neuroscience Research. 71(6). 763–768. 35 indexed citations

19.

Brown, Vanessa M., Alexei Ossadtchi, Arshad H. Khan, et al.. (2002). High-Throughput Imaging of Brain Gene Expression. Genome Research. 12(2). 244–254. 41 indexed citations

20.

Leil, Tarek A., et al.. (2002). Finding new candidate genes for learning and memory. Journal of Neuroscience Research. 68(2). 127–137. 34 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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