Isabell Kiral-Kornek

675 total citations
9 papers, 410 citations indexed

About

Isabell Kiral-Kornek is a scholar working on Cognitive Neuroscience, Electrical and Electronic Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, Isabell Kiral-Kornek has authored 9 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 6 papers in Electrical and Electronic Engineering and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Isabell Kiral-Kornek's work include EEG and Brain-Computer Interfaces (6 papers), Advanced Memory and Neural Computing (5 papers) and Neuroscience and Neural Engineering (2 papers). Isabell Kiral-Kornek is often cited by papers focused on EEG and Brain-Computer Interfaces (6 papers), Advanced Memory and Neural Computing (5 papers) and Neuroscience and Neural Engineering (2 papers). Isabell Kiral-Kornek collaborates with scholars based in Australia, United States and Germany. Isabell Kiral-Kornek's co-authors include Stefan Harrer, Subhrajit Roy, Benjamin S. Mashford, Ewan S. Nurse, Dean R. Freestone, Antonio Jimeno Yepes, David B. Grayden, Susmita Saha, Philippa J. Karoly and Terence J. O’Brien and has published in prestigious journals such as IBM Journal of Research and Development, EBioMedicine and Trends in Hearing.

In The Last Decade

Isabell Kiral-Kornek

9 papers receiving 400 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Isabell Kiral-Kornek Australia 7 344 91 73 64 60 9 410
T. Kalaycı Türkiye 6 229 0.7× 38 0.4× 159 2.2× 25 0.4× 15 0.3× 9 351
Hengjin Ke China 9 266 0.8× 62 0.7× 76 1.0× 34 0.5× 33 0.6× 14 387
Adrien Witon United Kingdom 6 315 0.9× 113 1.2× 90 1.2× 56 0.9× 21 0.3× 9 357
Jihwan Woo South Korea 12 242 0.7× 7 0.1× 37 0.5× 40 0.6× 22 0.4× 37 321
Melissa Zavaglia Germany 13 385 1.1× 24 0.3× 23 0.3× 95 1.5× 19 0.3× 27 582
Chang’an A. Zhan China 13 207 0.6× 14 0.2× 34 0.5× 59 0.9× 11 0.2× 30 359
Amirmasoud Ahmadi Iran 11 175 0.5× 45 0.5× 24 0.3× 33 0.5× 33 0.6× 16 314
Cota Navin Gupta India 13 288 0.8× 52 0.6× 114 1.6× 45 0.7× 10 0.2× 44 663
Timothy Zeyl Canada 9 285 0.8× 14 0.2× 40 0.5× 159 2.5× 74 1.2× 13 351
Yin Fen Low Malaysia 11 257 0.7× 8 0.1× 39 0.5× 30 0.5× 19 0.3× 30 321

Countries citing papers authored by Isabell Kiral-Kornek

Since Specialization
Citations

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

Fields of papers citing papers by Isabell Kiral-Kornek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Isabell Kiral-Kornek. 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 Isabell Kiral-Kornek. The network helps show where Isabell Kiral-Kornek may publish in the future.

Co-authorship network of co-authors of Isabell Kiral-Kornek

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

All Works

9 of 9 papers shown
1.
ShafieiBavani, Elaheh, Benjamin Goudey, Isabell Kiral-Kornek, et al.. (2021). Predictive models for cochlear implant outcomes: Performance, generalizability, and the impact of cohort size. Trends in Hearing. 25. 1851379518–1851379518. 33 indexed citations
2.
Goudey, Benjamin, Kerrie Plant, Isabell Kiral-Kornek, et al.. (2021). A MultiCenter Analysis of Factors Associated with Hearing Outcome for 2,735 Adults with Cochlear Implants. Trends in Hearing. 25. 1851350869–1851350869. 56 indexed citations
3.
Kiral-Kornek, Isabell, et al.. (2019). Designing for Privacy and Confidentiality on Distributed Ledgers for Enterprise (Industry Track). 22–28. 1 indexed citations
4.
Yohanandan, Shivanthan A.C., et al.. (2018). A Robust Low-Cost EEG Motor Imagery-Based Brain-Computer Interface. PubMed. 2018. 5089–5092. 26 indexed citations
5.
Roy, Subhrajit, Isabell Kiral-Kornek, & Stefan Harrer. (2018). Deep Learning Enabled Automatic Abnormal EEG Identification. PubMed. 2018. 2756–2759. 38 indexed citations
6.
Kiral-Kornek, Isabell, Subhrajit Roy, Ewan S. Nurse, et al.. (2017). Epileptic Seizure Prediction Using Big Data and Deep Learning: Toward a Mobile System. EBioMedicine. 27. 103–111. 191 indexed citations
7.
Kiral-Kornek, Isabell, Ewan S. Nurse, Benjamin S. Mashford, et al.. (2017). TrueNorth-enabled real-time classification of EEG data for brain-computer interfacing. PubMed. 2017. 1648–1651. 6 indexed citations
8.
Mashford, Benjamin S., Antonio Jimeno Yepes, Isabell Kiral-Kornek, Jialiang Tang, & Stefan Harrer. (2017). Neural-network-based analysis of EEG data using the neuromorphic TrueNorth chip for brain-machine interfaces. IBM Journal of Research and Development. 61(2/3). 7:1–7:6. 10 indexed citations
9.
Nurse, Ewan S., Benjamin S. Mashford, Antonio Jimeno Yepes, et al.. (2016). Decoding EEG and LFP signals using deep learning. 259–266. 49 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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