Dragan Nešić

14.2k citations
288 papers · 9.9k indexed · 4 hit papers · h-index 48

Dragan Nešić

276 papers receiving 9.7k citations

Hit Papers

A Framework for the Event-Triggered S...5951999202620082017200400600

Peers

Dragan Nešić
Comparison fields: 5 of 113
  • Control and Systems Engineering 8.4k
  • Computer Networks and Communications 2.7k
  • Computational Theory and Mathematics 869
  • Automotive Engineering 604
  • Statistical and Nonlinear Physics 299
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Countries citing papers authored by Dragan Nešić

Since Specialization
Citations

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

Fields of papers citing papers by Dragan Nešić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20240
3 20241
4 20230
5 20235
6 20231
7 20227
8 20200
9 202025
10 202063
11 2019138
12 201914
13
Communication Connectivity in Multi-agent Systems with Multiple Uncooperative Agents
20191
14 201810
15 201827
16 201727
17 201673
18
Multidimensional global extremum seeking via the DIRECT method
20126
19
Averaging tools for singularly perturbed hybrid systems
20111
20
Extremum seeking from 1922 to 2010
2010206

About Dragan Nešić

Dragan Nešić is a scholar working on Control and Systems Engineering, Computer Networks and Communications and Computational Theory and Mathematics, having authored 288 papers that have together received 9.9k indexed citations. Recurring topics across this work include Stability and Control of Uncertain Systems (129 papers), Advanced Control Systems Optimization (125 papers), Adaptive Control of Nonlinear Systems (73 papers), Extremum Seeking Control Systems (46 papers), Control Systems and Identification (40 papers), Control and Stability of Dynamical Systems (38 papers), Stability and Controllability of Differential Equations (32 papers) and Fault Detection and Control Systems (22 papers). The work is most often cited by research in Control and Systems Engineering (8.4k citations), Computer Networks and Communications (2.7k citations) and Computational Theory and Mathematics (869 citations). Dragan Nešić has collaborated with scholars based in Australia, United States and France. Frequent co-authors include Andrew R. Teel, Ying Tan, Romain Postoyan, Iven Mareels, Chris Manzie, W.P.M.H. Heemels, Nathan van de Wouw, Luca Zaccarian, Daniel E. Quevedo and Mohammad Tabbara. Their work appears in journals such as Automatica, IEEE Transactions on Automatic Control, Systems & Control Letters, Mathematics of Control Signals and Systems and IEEE Control Systems Letters.

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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