Dušan Jakovetić

2.1k total citations · 1 hit paper
67 papers, 1.2k citations indexed

About

Dušan Jakovetić is a scholar working on Computer Networks and Communications, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Dušan Jakovetić has authored 67 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Computer Networks and Communications, 27 papers in Artificial Intelligence and 23 papers in Computational Mechanics. Recurrent topics in Dušan Jakovetić's work include Distributed Control Multi-Agent Systems (25 papers), Sparse and Compressive Sensing Techniques (17 papers) and Distributed Sensor Networks and Detection Algorithms (15 papers). Dušan Jakovetić is often cited by papers focused on Distributed Control Multi-Agent Systems (25 papers), Sparse and Compressive Sensing Techniques (17 papers) and Distributed Sensor Networks and Detection Algorithms (15 papers). Dušan Jakovetić collaborates with scholars based in Serbia, United States and Portugal. Dušan Jakovetić's co-authors include João Xavier, José M. F. Moura, Dragana Bajović, Vladimir Crnojević, Dejan Vukobratović, Nataša Krejić, Miloš Savić, Soummya Kar, Ilias Travlos and C. Kempenaar and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Automatic Control and Proceedings of the IEEE.

In The Last Decade

Dušan Jakovetić

59 papers receiving 1.2k citations

Hit Papers

Fast Distributed Gradient... 2014 2026 2018 2022 2014 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Dušan Jakovetić Serbia 18 826 391 291 234 105 67 1.2k
Choon Yik Tang United States 19 523 0.6× 143 0.4× 52 0.2× 194 0.8× 235 2.2× 58 1.1k
Ermin Wei United States 15 729 0.9× 329 0.8× 246 0.8× 373 1.6× 150 1.4× 60 1.2k
Shu Liang China 22 1.1k 1.3× 257 0.7× 125 0.4× 167 0.7× 793 7.6× 72 2.0k
S. Sundhar Ram United States 11 943 1.1× 413 1.1× 280 1.0× 167 0.7× 48 0.5× 18 1.2k
Bahman Gharesifard United States 17 1.2k 1.5× 299 0.8× 102 0.4× 205 0.9× 345 3.3× 89 1.7k
Zhuoran Yang United States 15 231 0.3× 461 1.2× 52 0.2× 148 0.6× 127 1.2× 79 843
Lianglin Xiong China 23 951 1.2× 303 0.8× 16 0.1× 202 0.9× 772 7.4× 101 1.6k
Davood Hajinezhad United States 10 205 0.2× 240 0.6× 159 0.5× 77 0.3× 81 0.8× 12 565

Countries citing papers authored by Dušan Jakovetić

Since Specialization
Citations

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

Fields of papers citing papers by Dušan Jakovetić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dušan Jakovetić

This figure shows the co-authorship network connecting the top 25 collaborators of Dušan Jakovetić. A scholar is included among the top collaborators of Dušan Jakovetić 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 Dušan Jakovetić. Dušan Jakovetić 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
1.
Bajović, Dragana, et al.. (2025). Distributed Center-Based Clustering: A Unified Framework. IEEE Transactions on Signal Processing. 73. 903–918.
2.
Bouloukakis, Georgios, et al.. (2025). Unlocking AIoT Efficiency in the Computing Continuum - the PANDORA framework. SPIRE - Sciences Po Institutional REpository. 201–209.
3.
Bajović, Dragana, et al.. (2023). Large Deviations for Products of Non-Identically Distributed Network Matrices With Applications to Communication-Efficient Distributed Learning and Inference. IEEE Transactions on Signal Processing. 71. 1319–1333. 3 indexed citations
4.
Bajović, Dragana, et al.. (2023). A One-Shot Framework for Distributed Clustered Learning in Heterogeneous Environments. IEEE Transactions on Signal Processing. 72. 636–651. 4 indexed citations
5.
Milošević, Nemanja, Dragana Bajović, Soummya Kar, et al.. (2023). Communication Efficient Model-Aware Federated Learning for Visual Crowd Counting and Density Estimation in Smart Cities. 875–879. 2 indexed citations
6.
Bajović, Dragana, et al.. (2022). Personalized Federated Learning via Convex Clustering. 1–7. 8 indexed citations
7.
Jakovetić, Dušan, et al.. (2021). Distributed fixed point method for solving systems of linear algebraic equations. Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano). 7 indexed citations
8.
Savić, Miloš, Milan Lukić, Dragana Bajović, et al.. (2021). Deep Learning Anomaly Detection for Cellular IoT With Applications in Smart Logistics. IEEE Access. 9. 59406–59419. 47 indexed citations
9.
Jakovetić, Dušan, et al.. (2019). Distributed Trust-Region Method With First Order Models. 1–6. 2 indexed citations
10.
Jakovetić, Dušan, et al.. (2019). Using big data analytics to improve efficiency of tax collection in the tax Administration of the Republic of Serbia. Ekonomika preduzeca. 67(1-2). 115–130. 7 indexed citations
11.
Sahu, Anit Kumar, Dušan Jakovetić, & Soummya Kar. (2018). $\mathcal {CIRFE}$: A Distributed Random Fields Estimator. IEEE Transactions on Signal Processing. 66(18). 4980–4995. 11 indexed citations
12.
Šikoparija, Branko, Oskar Marko, Marko Panić, Dušan Jakovetić, & Predrag Radišić. (2018). How to prepare a pollen calendar for forecasting daily pollen concentrations of Ambrosia, Betula and Poaceae?. Aerobiologia. 34(2). 203–217. 18 indexed citations
13.
Sahu, Anit Kumar, Dušan Jakovetić, Dragana Bajović, & Soummya Kar. (2018). Communication efficient distributed weighted non-linear least squares estimation. EURASIP Journal on Advances in Signal Processing. 2018(1). 4 indexed citations
14.
Bajović, Dragana, Dušan Jakovetić, Anit Kumar Sahu, & Soummya Kar. (2018). Large Deviations for Products of Non-I.i.d. Stochastic Matrices with Application to Distributed Detection. 1061–1065. 1 indexed citations
15.
Jakovetić, Dušan. (2017). A Unification, Generalization, and Acceleration of Exact Distributed First Order Methods.. arXiv (Cornell University). 1 indexed citations
16.
Jakovetić, Dušan, Dragana Bajović, Dejan Vukobratović, & Vladimir Crnojević. (2015). Cooperative Slotted Aloha for Multi-Base Station Systems. IEEE Transactions on Communications. 63(4). 1443–1456. 30 indexed citations
17.
Bajović, Dragana, Dušan Jakovetić, Dejan Vukobratović, & Vladimir Crnojević. (2014). Slotted Aloha for Networked Base Stations: Algorithms and Performance. European Wireless Conference. 1–6. 1 indexed citations
18.
Jakovetić, Dušan, João Xavier, & José M. F. Moura. (2013). Convergence Rates of Distributed Nesterov-Like Gradient Methods on Random Networks. IEEE Transactions on Signal Processing. 62(4). 868–882. 33 indexed citations
19.
Jakovetić, Dušan, José M. F. Moura, & João Xavier. (2012). Fast cooperative distributed learning. 1513–1517. 2 indexed citations
20.
Jakovetić, Dušan, João Xavier, & José M. F. Moura. (2011). Cooperative Convex Optimization in Networked Systems: Augmented Lagrangian Algorithms With Directed Gossip Communication. IEEE Transactions on Signal Processing. 59(8). 3889–3902. 84 indexed citations

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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