Y. Shamash

2.4k citations
98 papers · 1.6k · h-index 19

Impact in

Papers in

Y. Shamash

85 papers receiving 1.5k citations

Peers

Y. Shamash
Comparison fields: 5 of 87
  • Statistical and Nonlinear Physics 660
  • Control and Systems Engineering 1.0k
  • Numerical Analysis 194
  • Statistics, Probability and Uncertainty 192
  • Computational Theory and Mathematics 178
Replace Milan Korda with:
Milan Korda France
J.D. Aplevich Canada
Rama K. Yedavalli United States
L.H. Keel United States
M. Kanat Camlibel Netherlands
J.L. Willems Belgium
Tomomichi Hagiwara Japan
Anton A. Stoorvogel Netherlands
Harry L. Trentelman Netherlands
Michael P. Polis United States
Y. Shamash relative to Milan Korda France Milan Korda's profile →
Citations per field
00.5×1.5×
Milan Korda · 1×
Citations per year

Countries citing papers authored by Y. Shamash

Since Specialization
Citations

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

Fields of papers citing papers by Y. Shamash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Y. Shamash, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Y. Shamash Line = papers co-authored together Y. Shamash links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1974233
2 1975208
3 1975168
4 2002111
5 200479
6 200478
7 197462
8 199657
9 202145
10 202240
11 198037
12 200733
13 198032
14 200130
15 197529
16 199328
17 202124
18 202418
19 200318
20 197818

About Y. Shamash

Y. Shamash is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering, Statistical and Nonlinear Physics, Computational Theory and Mathematics and Numerical Analysis, having authored 98 papers that have together received 1.6k indexed citations. Recurring topics across this work include Stability and Control of Uncertain Systems (22 papers), Microgrid Control and Optimization (20 papers), Control Systems and Identification (17 papers), Advanced Control Systems Optimization (17 papers), Model Reduction and Neural Networks (14 papers), Numerical methods for differential equations (13 papers), Smart Grid Energy Management (10 papers) and Advanced Battery Technologies Research (8 papers). The work is most often cited by research in Statistical and Nonlinear Physics (660 citations), Control and Systems Engineering (1.0k citations), Numerical Analysis (194 citations), Statistics, Probability and Uncertainty (192 citations) and Computational Theory and Mathematics (178 citations). Y. Shamash has collaborated with scholars based in United States, Israel and Singapore. Frequent co-authors include Zongli Lin, Ben M. Chen, Yong‐Yan Cao, Ali Saberi, Yan Wan, Tingshu Hu, Peddapullaiah Sannuti, Yang‐Yang Qian, Ali Davoudi and Haijun Fang. Their work appears in journals such as International Journal of Systems Science, IEEE Transactions on Automatic Control, Electronics Letters, International Journal of Control and Automatica.

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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