I. Yaesh

2.1k citations
80 papers · 1.5k indexed · h-index 21

I. Yaesh

73 papers receiving 1.4k citations

Peers

I. Yaesh
Comparison fields: 5 of 63
  • Control and Systems Engineering 1.3k
  • Aerospace Engineering 253
  • Computer Networks and Communications 232
  • Artificial Intelligence 309
  • Statistics, Probability and Uncertainty 56
Replace K.M. Nagpal with:
K.M. Nagpal United States
Zigang Pan United States
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J.Β. Moore Australia
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Pavel Shcherbakov Russia
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Citations per field
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K.M. Nagpal · 1×
Citations per year

Countries citing papers authored by I. Yaesh

Since Specialization
Citations

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

Fields of papers citing papers by I. Yaesh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 11 scholars most cited alongside I. Yaesh, 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 I. Yaesh Line = papers co-authored together I. Yaesh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20210
3 20201
4
A small gain type result with respect to the induced $L_\infty$ norm
20130
5 201310
6 20100
7 20092
8 20081
9 200625
10 20051
11 200227
12 20011
13 19999
14
H∞ static output-feedback control of linear continuous-time systems with delay
19986
15 19961
16 19926
17
Transfer Function Approach to the Problems of Discrete-time Systems : H_∞-optimal Linear Control and Filtering
19919
18 199150
19 19906
20
Game theory approach to optimal linear estimation in minimum H_∞-norm sense
198910

About I. Yaesh

I. Yaesh is a scholar working on Control and Systems Engineering, Artificial Intelligence and Aerospace Engineering, having authored 80 papers that have together received 1.5k indexed citations. Recurring topics across this work include Stability and Control of Uncertain Systems (45 papers), Control Systems and Identification (39 papers), Adaptive Control of Nonlinear Systems (23 papers), Target Tracking and Data Fusion in Sensor Networks (23 papers), Advanced Control Systems Optimization (18 papers), Guidance and Control Systems (10 papers), Fault Detection and Control Systems (10 papers) and Aerospace Engineering and Control Systems (6 papers). The work is most often cited by research in Control and Systems Engineering (1.3k citations), Aerospace Engineering (253 citations) and Computer Networks and Communications (232 citations). I. Yaesh has collaborated with scholars based in Israel, Romania and United Kingdom. Frequent co-authors include U. Shaked, Eli Gershon, Joseph Z. Ben‐Asher, Adrian‐Mihail Stoica, D.J.N. Limebeer, Arie Levant, Carlos E. de Souza, U. Shaked, B.Z. Bobrovsky and Z. Schuss. Their work appears in journals such as IEEE Transactions on Automatic Control, Journal of Guidance Control and Dynamics, Systems & Control Letters, IEEE Transactions on Aerospace and Electronic Systems 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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