Mikel Bober-Irizar

564 total citations
4 papers, 29 citations indexed

About

Mikel Bober-Irizar is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Mikel Bober-Irizar has authored 4 papers receiving a total of 29 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Molecular Biology. Recurrent topics in Mikel Bober-Irizar's work include Anomaly Detection Techniques and Applications (2 papers), Explainable Artificial Intelligence (XAI) (2 papers) and Machine Learning in Bioinformatics (1 paper). Mikel Bober-Irizar is often cited by papers focused on Anomaly Detection Techniques and Applications (2 papers), Explainable Artificial Intelligence (XAI) (2 papers) and Machine Learning in Bioinformatics (1 paper). Mikel Bober-Irizar collaborates with scholars based in United Kingdom, Canada and United States. Mikel Bober-Irizar's co-authors include Eng-Jon Ong, Syed Sameed Husain, Mirosław Bober, Nicolas Papernot, Yiren Zhao, Ilia Shumailov, Robert F. Mullins and Soumya Banerjee and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Circuits and Systems for Video Technology and Communications Biology.

In The Last Decade

Mikel Bober-Irizar

4 papers receiving 28 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mikel Bober-Irizar United Kingdom 3 17 9 8 5 3 4 29
Ruixuan Luo China 4 21 1.2× 5 0.6× 15 1.9× 3 1.0× 5 33
Botao Ye China 4 20 1.2× 14 1.6× 2 0.3× 8 1.6× 7 39
Shariq Farooq Bhat Saudi Arabia 3 22 1.3× 6 0.7× 7 0.9× 3 27
Zhengyuan Zhou China 3 18 1.1× 4 0.4× 18 2.3× 3 1.0× 6 30
Shivam Vats United States 3 13 0.8× 5 0.6× 9 1.1× 6 20
Soumyabrata Ghosh Luxembourg 4 5 0.3× 4 0.4× 5 0.6× 5 1.0× 11 30
X. Kang China 4 37 2.2× 4 0.4× 8 1.0× 4 1.3× 18 48
Maxime Bucher France 2 20 1.2× 5 0.6× 8 1.0× 2 32
Gaurangi Anand Australia 3 21 1.2× 22 2.4× 5 0.6× 1 0.2× 4 1.3× 5 39
Mita D. Desai United States 4 22 1.3× 3 0.3× 15 1.9× 5 1.0× 1 0.3× 5 34

Countries citing papers authored by Mikel Bober-Irizar

Since Specialization
Citations

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

Fields of papers citing papers by Mikel Bober-Irizar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mikel Bober-Irizar. 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 Mikel Bober-Irizar. The network helps show where Mikel Bober-Irizar may publish in the future.

Co-authorship network of co-authors of Mikel Bober-Irizar

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

All Works

4 of 4 papers shown
1.
Bober-Irizar, Mikel & Soumya Banerjee. (2024). Neural networks for abstraction and reasoning. Scientific Reports. 14(1). 27823–27823. 1 indexed citations
2.
Husain, Syed Sameed, et al.. (2023). Single-cell subcellular protein localisation using novel ensembles of diverse deep architectures. Communications Biology. 6(1). 489–489. 5 indexed citations
3.
Bober-Irizar, Mikel, Ilia Shumailov, Yiren Zhao, Robert F. Mullins, & Nicolas Papernot. (2023). Architectural Backdoors in Neural Networks. 24595–24604. 7 indexed citations
4.
Ong, Eng-Jon, Syed Sameed Husain, Mikel Bober-Irizar, & Mirosław Bober. (2018). Deep Architectures and Ensembles for Semantic Video Classification. IEEE Transactions on Circuits and Systems for Video Technology. 29(12). 3568–3582. 16 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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Breakdown of academic impact, for papers by Ruixuan Luo Breakdown of academic impact, for papers by Botao Ye Breakdown of academic impact, for papers by Shariq Farooq Bhat Breakdown of academic impact, for papers by Zhengyuan Zhou Breakdown of academic impact, for papers by Shivam Vats Breakdown of academic impact, for papers by Soumyabrata Ghosh Breakdown of academic impact, for papers by X. Kang Breakdown of academic impact, for papers by Maxime Bucher Breakdown of academic impact, for papers by Gaurangi Anand Breakdown of academic impact, for papers by Mita D. Desai
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