Tal Shima

6.9k citations
190 papers · 5.6k · h-index 38

Impact in

Papers in

Tal Shima

182 papers receiving 5.4k citations

Peers

Tal Shima
Comparison fields: 5 of 84
  • Aerospace Engineering 4.8k
  • Statistical and Nonlinear Physics 1.2k
  • Computer Vision and Pattern Recognition 1.4k
  • Control and Systems Engineering 1.2k
  • Computer Networks and Communications 838
Replace Min-Jea Tahk with:
Min-Jea Tahk South Korea
S.N. Balakrishnan United States
Eloy García United States
Zhang Ren China
Xiwang Dong China
Khanh Pham United States
Haomiao Huang United States
Yisheng Zhong China
Mangal Kothari India
Shenmin Song China
Tal Shima relative to Min-Jea Tahk South Korea Min-Jea Tahk's profile →
Citations per field
00.5×1.5×2.1×
Min-Jea Tahk · 1×
Citations per year

Countries citing papers authored by Tal Shima

Since Specialization
Citations

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

Fields of papers citing papers by Tal Shima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tal Shima, 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 Tal Shima Line = papers co-authored together Tal Shima links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 190 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006294
2 2005262
3 2008236
4 2011205
5 2010184
6 2011182
7 2010164
8 2011152
9 2007133
10 2002128
11 2011116
12 2015109
13
UAV Cooperative Decision and Control: Challenges and Practical Approaches
200896
14 201392
15 200891
16 200287
17 200778
18 201278
19 200574
20 201772

About Tal Shima

Tal Shima is a scholar working on Aerospace Engineering, Statistical and Nonlinear Physics, Computer Vision and Pattern Recognition, Control and Systems Engineering and Computer Networks and Communications, having authored 190 papers that have together received 5.6k indexed citations. Recurring topics across this work include Guidance and Control Systems (148 papers), Military Defense Systems Analysis (102 papers), Quantum chaos and dynamical systems (69 papers), Robotic Path Planning Algorithms (46 papers), Adaptive Control of Nonlinear Systems (25 papers), Vehicle Routing Optimization Methods (15 papers), UAV Applications and Optimization (13 papers) and Target Tracking and Data Fusion in Sensor Networks (13 papers). The work is most often cited by research in Aerospace Engineering (4.8k citations), Statistical and Nonlinear Physics (1.2k citations), Computer Vision and Pattern Recognition (1.4k citations), Control and Systems Engineering (1.2k citations) and Computer Networks and Communications (838 citations). Tal Shima has collaborated with scholars based in Israel, United States and India. Frequent co-authors include Vitaly Shaferman, Oded Golan, Steven J. Rasmussen, J. Shinar, Moshe Idan, Martin Weiß, Ashwini Ratnoo, Andrew G. Sparks, Ilan Rusnak and Kevin M. Passino. Their work appears in journals such as Journal of Guidance Control and Dynamics, IEEE Transactions on Aerospace and Electronic Systems, Automatica, IEEE Transactions on Control Systems Technology and Journal of Dynamic Systems Measurement and Control.

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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