I. Shariv

14 total papers · 1.2k total citations
10 papers, 985 citations indexed

About

I. Shariv is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Media Technology. According to data from OpenAlex, I. Shariv has authored 10 papers receiving a total of 985 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Electrical and Electronic Engineering, 4 papers in Artificial Intelligence and 3 papers in Media Technology. Recurrent topics in I. Shariv's work include Neural Networks and Applications (4 papers), Neural Networks and Reservoir Computing (4 papers) and Advanced Optical Imaging Technologies (3 papers). I. Shariv is often cited by papers focused on Neural Networks and Applications (4 papers), Neural Networks and Reservoir Computing (4 papers) and Advanced Optical Imaging Technologies (3 papers). I. Shariv collaborates with scholars based in Israel and United Kingdom. I. Shariv's co-authors include Asher A. Friesem, Miriam Eisenstein, Ephraim Katchalski‐Katzir, Claude Aflalo, Ilya A. Vakser, Yael Amitai, Eytan Domany, Anton S. Tremsin, J.E. Lees and Harel Z. Shouval and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Molecular Biology and Optics Letters.

In The Last Decade

I. Shariv

10 papers receiving 969 citations

Hit Papers

Molecular surface recogni... 1992 2026 2003 2014 1992 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
I. Shariv 743 285 273 74 64 10 985
Christian Margreitter 550 0.7× 290 1.0× 359 1.3× 57 0.8× 21 0.3× 21 818
Stewart A. Adcock 775 1.0× 265 0.9× 237 0.9× 44 0.6× 39 0.6× 9 1.1k
F. Raymond Salemme 748 1.0× 151 0.5× 237 0.9× 73 1.0× 30 0.5× 22 1.1k
Wouter G. Touw 846 1.1× 266 0.9× 95 0.3× 56 0.8× 14 0.2× 14 1.2k
E. R. Graf 559 0.8× 123 0.4× 94 0.3× 64 0.9× 35 0.5× 18 854
Sean L. Seyler 786 1.1× 215 0.8× 87 0.3× 41 0.6× 63 1.0× 14 1.2k
Aleksandra E. Badaczewska-Dawid 838 1.1× 387 1.4× 141 0.5× 57 0.8× 22 0.3× 21 1.1k
Ian M. Kenney 751 1.0× 194 0.7× 98 0.4× 39 0.5× 60 0.9× 10 1.2k
Mohammad M. Sultan 783 1.1× 315 1.1× 203 0.7× 35 0.5× 18 0.3× 25 973
Lazaros Mavridis 667 0.9× 171 0.6× 319 1.2× 49 0.7× 15 0.2× 25 1.1k

Countries citing papers authored by I. Shariv

Since Specialization
Citations

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

Fields of papers citing papers by I. Shariv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of I. Shariv

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

All Works

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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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