Lior Horesh

2.2k total citations
63 papers, 1.1k citations indexed

About

Lior Horesh is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Lior Horesh has authored 63 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 21 papers in Electrical and Electronic Engineering and 13 papers in Computational Theory and Mathematics. Recurrent topics in Lior Horesh's work include Electrical and Bioimpedance Tomography (19 papers), Sparse and Compressive Sensing Techniques (11 papers) and Matrix Theory and Algorithms (7 papers). Lior Horesh is often cited by papers focused on Electrical and Bioimpedance Tomography (19 papers), Sparse and Compressive Sensing Techniques (11 papers) and Matrix Theory and Algorithms (7 papers). Lior Horesh collaborates with scholars based in United States, United Kingdom and Israel. Lior Horesh's co-authors include David Holder, Eldad Haber, Richard Bayford, Luis Tenorio, Rebecca Yerworth, Alistair McEwan, Andrea Romsauerova, Haim Avron, Oded Gilad and RH Bayford and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and NeuroImage.

In The Last Decade

Lior Horesh

58 papers receiving 1.0k citations

Peers

Lior Horesh
Comparison fields: 5 of 112
  • Electrical and Electronic Engineering 496
  • Biomedical Engineering 342
  • Artificial Intelligence 165
  • Geophysics 142
  • Surgery 120
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Claudio Narduzzi Italy
Saeed Setayeshi Iran
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R. Lyons United States
Vinay K. Ingle United States
Yves Goussard Canada
S.M. Panas Greece
Reza R. Adhami United States
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Citations per field, relative to Lior Horesh
Lior Horesh · 1×
Citations per year, relative to Lior Horesh
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Countries citing papers authored by Lior Horesh

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
# 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

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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