Iryna Korshunova

1.1k total citations
7 papers, 553 citations indexed

About

Iryna Korshunova is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Iryna Korshunova has authored 7 papers receiving a total of 553 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Cognitive Neuroscience, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Artificial Intelligence. Recurrent topics in Iryna Korshunova's work include Epilepsy research and treatment (2 papers), EEG and Brain-Computer Interfaces (2 papers) and Functional Brain Connectivity Studies (2 papers). Iryna Korshunova is often cited by papers focused on Epilepsy research and treatment (2 papers), EEG and Brain-Computer Interfaces (2 papers) and Functional Brain Connectivity Studies (2 papers). Iryna Korshunova collaborates with scholars based in Belgium, United States and Australia. Iryna Korshunova's co-authors include Joni Dambre, Lucas Theis, Wenzhe Shi, Benjamin H. Brinkmann, Simone C. Bosshard, Francisco Javier Muñoz–Almaraz, Charles H. Vite, Edward E. Patterson, Juan Pardo and Gregory A. Worrell and has published in prestigious journals such as Brain, IEEE Transactions on Biomedical Engineering and arXiv (Cornell University).

In The Last Decade

Iryna Korshunova

7 papers receiving 539 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Iryna Korshunova Belgium	6	311	200	114	104	86	7	553
Ali Emami Iran	8	228 0.7×	153 0.8×	83 0.7×	44 0.4×	48 0.6×	12	398
Ting Hu China	8	65 0.2×	313 1.6×	139 1.2×	72 0.7×	109 1.3×	19	452
Indranil Sen‐Gupta United States	10	302 1.0×	117 0.6×	104 0.9×	113 1.1×	12 0.1×	16	471
Haidar Khan United States	6	40 0.1×	240 1.2×	130 1.1×	105 1.0×	88 1.0×	19	333
Rasmus Elsborg Madsen Denmark	8	48 0.2×	153 0.8×	71 0.6×	53 0.5×	167 1.9×	16	394
Tiejia Jiang China	15	41 0.1×	391 2.0×	119 1.0×	147 1.4×	53 0.6×	57	538
Nasir Hussain Australia	7	37 0.1×	255 1.3×	97 0.9×	74 0.7×	78 0.9×	18	438
Hossein Hosseini‐Nejad Iran	8	58 0.2×	403 2.0×	134 1.2×	105 1.0×	71 0.8×	15	520
Dinghan Hu China	10	31 0.1×	252 1.3×	110 1.0×	73 0.7×	43 0.5×	25	308
Ömer Türk Türkiye	8	42 0.1×	171 0.9×	84 0.7×	31 0.3×	44 0.5×	24	268

Countries citing papers authored by Iryna Korshunova

Since Specialization

Citations

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

Fields of papers citing papers by Iryna Korshunova

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Iryna Korshunova

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

All Works

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7 of 7 papers shown

1.

Korshunova, Iryna, et al.. (2019). Discriminative Topic Modeling with Logistic LDA. arXiv (Cornell University). 32. 1–11. 5 indexed citations

2.

Korshunova, Iryna, Jonas Degrave, Ferenc Huszár, et al.. (2018). BRUNO: A Deep Recurrent Model for Exchangeable Data. arXiv (Cornell University). 31. 7190–7198. 5 indexed citations

3.

Korshunova, Iryna, Wenzhe Shi, Joni Dambre, & Lucas Theis. (2017). Fast Face-Swap Using Convolutional Neural Networks. 3697–3705. 311 indexed citations

4.

Korshunova, Iryna, et al.. (2017). Towards Improved Design and Evaluation of Epileptic Seizure Predictors. IEEE Transactions on Biomedical Engineering. 65(3). 502–510. 32 indexed citations

5.

Degrave, Jonas, et al.. (2016). Using deep learning to estimate systolic and diastolic volumes from MRI-images. Ghent University Academic Bibliography (Ghent University). 1 indexed citations

6.

Brinkmann, Benjamin H., Joost Wagenaar, Simone C. Bosshard, et al.. (2016). Crowdsourcing reproducible seizure forecasting in human and canine epilepsy. Brain. 139(6). 1713–1722. 190 indexed citations

7.

Sturm, Bob L., João Felipe Santos, & Iryna Korshunova. (2015). Folk music style modelling by recurrent neural networks with long short term memory units. Ghent University Academic Bibliography (Ghent University). 9 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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