Lior Horesh
- Electrical and Electronic Engineering top 10%
- Biomedical Engineering top 10%
- Artificial Intelligence top 10%
- Geophysics top 10%
- Surgery
- Co-authors
- David HolderEldad HaberRichard BayfordLuis TenorioRebecca YerworthAlistair McEwanAndrea RomsauerovaHaim Avron
- Topics
- Electrical and Bioimpedance Tomography (19 papers)Sparse and Compressive Sensing Techniques (11 papers)Matrix Theory and Algorithms (7 papers)
- Partner nations
- United StatesUnited KingdomIsrael
In The Last Decade
Lior Horesh
58 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 112
- Electrical and Electronic Engineering 496
- Biomedical Engineering 342
- Artificial Intelligence 165
- Geophysics 142
- Surgery 120
Countries citing papers authored by Lior Horesh
This map shows the geographic impact of Lior Horesh'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 Lior Horesh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lior Horesh more than expected).
Fields of papers citing papers by Lior Horesh
This network shows the impact of papers produced by Lior Horesh. 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 Lior Horesh. The network helps show where Lior Horesh may publish in the future.
Co-authorship network of co-authors of Lior Horesh
This figure shows the co-authorship network connecting the top 25 collaborators of Lior Horesh. A scholar is included among the top collaborators of Lior Horesh 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 Lior Horesh. Lior Horesh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 7 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 39 | |
| 10 | Projection techniques to update the truncated SVD of evolving matrices with applications | 2 |
| 11 | 6 | |
| 12 | Tensor Graph Convolutional Networks for Prediction on Dynamic Graphs | 2 |
| 13 | Community Detection Using Time-Dependent Personalized PageRank | 7 |
| 14 | 10 | |
| 15 | 49 | |
| 16 | 7 | |
| 17 | 98 | |
| 18 | 46 | |
| 19 | Effects of warping finite element meshes for the forward model of the head in EIT | 1 |
| 20 | 4 |
About Lior Horesh
Lior Horesh is a scholar working on Computational Mathematics, Computational Theory and Mathematics and Artificial Intelligence, having authored 63 papers that have together received 1.1k indexed citations. Recurring topics across this work include Electrical and Bioimpedance Tomography (19 papers), Sparse and Compressive Sensing Techniques (11 papers) and Matrix Theory and Algorithms (7 papers). The work is most often cited by research in Computational Mathematics (50 citations), Geophysics (142 citations) and Statistics, Probability and Uncertainty (69 citations). Lior Horesh has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include David Holder, Eldad Haber, Richard Bayford, Luis Tenorio, Rebecca Yerworth, Alistair McEwan, Andrea Romsauerova, Haim Avron, Oded Gilad and RH Bayford. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and NeuroImage.
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.