Zoran Gajić

3.4k citations
147 papers · 2.3k indexed · h-index 28
Topics
Numerical methods for differential equations (46 papers)Stability and Control of Uncertain Systems (29 papers)Differential Equations and Numerical Methods (27 papers)

In The Last Decade

Zoran Gajić

129 papers receiving 2.1k citations

Peers

Zoran Gajić
Comparison fields: 5 of 93
  • Control and Systems Engineering 1.0k
  • Electrical and Electronic Engineering 793
  • Computer Networks and Communications 600
  • Numerical Analysis 499
  • Computational Theory and Mathematics 345
Replace M. Kanat Camlibel with:
M. Kanat Camlibel Netherlands
Peddapullaiah Sannuti United States
Hitay Özbay Türkiye
Anton A. Stoorvogel Netherlands
Ari Arapostathis United States
Dimitri Peaucelle France
Javad Lavaei United States
L.H. Keel United States
Harry L. Trentelman Netherlands
J.D. Aplevich Canada
Zoran Gajić relative to M. Kanat Camlibel Netherlands M. Kanat Camlibel's profile →
Citations per field
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M. Kanat Camlibel · 1×
Citations per year

Countries citing papers authored by Zoran Gajić

Since Specialization
Citations

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

Fields of papers citing papers by Zoran Gajić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zoran Gajić

This figure shows the co-authorship network connecting the top 25 collaborators of Zoran Gajić. A scholar is included among the top collaborators of Zoran Gajić 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 Zoran Gajić. Zoran Gajić 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
#WorkIndexed citations
1 0
2 0
3 5
4 6
5 5
6 15
7 36
8 45
9 11
10
Optimal control and filtering of weakly coupled linear discrete stochastic systems by the eigenvector approach
7
11 2
12 3
13
Centralized Power Control in Coordinated CDMA Systems using Krylov Subspace Iterations.
1
14 15
15 7
16 37
17 2
18 4
19 4
20 2

About Zoran Gajić

Zoran Gajić is a scholar working on Numerical Analysis, Control and Systems Engineering and Statistical and Nonlinear Physics, having authored 147 papers that have together received 2.3k indexed citations. Recurring topics across this work include Numerical methods for differential equations (46 papers), Stability and Control of Uncertain Systems (29 papers) and Differential Equations and Numerical Methods (27 papers). The work is most often cited by research in Numerical Analysis (499 citations), Control and Systems Engineering (1.0k citations) and Computer Networks and Communications (600 citations). Zoran Gajić has collaborated with scholars based in United States, Serbia and Taiwan. Frequent co-authors include Xuemin Shen, Lijun Qian, Narayan B. Mandayam, Wu‐Chung Su, Myo Taeg Lim, Hassan K. Khalil, Thang Nguyen, Vojislav Kecman, Xiangfang Li and Lei Song. Their work appears in journals such as IEEE Transactions on Automatic Control, Journal of Power Sources 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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