Čedomir Stefanović

4.7k citations
100 papers · 3.0k indexed · 2 hit papers · h-index 23

Čedomir Stefanović

88 papers receiving 2.9k citations

Hit Papers

Sparse Signal Processing for Grant-Free Massive Connectiv...3342016202620192022100200300400500

Peers

Čedomir Stefanović
Comparison fields: 5 of 63
  • Computer Networks and Communications 1.4k
  • Electrical and Electronic Engineering 2.5k
  • Control and Systems Engineering 599
  • Energy Engineering and Power Technology 40
  • Computational Mechanics 214
Replace Moisés V. Ribeiro with:
Moisés V. Ribeiro Brazil
Hao Xu United States
Gunther Auer Germany
Yu Gong United Kingdom
Vahid Shah‐Mansouri Iran
Marcian Cirstea United Kingdom
T.D. Todd Canada
Walaa Hamouda Canada
Xuhui Bu China
Čedomir Stefanović relative to Moisés V. Ribeiro Brazil Moisés V. Ribeiro's profile →
Citations per field
00.5×4.4×
Moisés V. Ribeiro · 1×
Citations per year

Countries citing papers authored by Čedomir Stefanović

Since Specialization
Citations

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

Fields of papers citing papers by Čedomir Stefanović

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20241
4 20243
5 20234
6 20236
7 20232
8 20230
9 20223
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11 20220
12 20212
13 20216
14 202011
15 202010
16 20201
17 20206
18
Sparse Signal Processing for Grant-Free Massive Connectivity: A Future Paradigm for Random Access Protocols in the Internet of Thingsbreakdown →
2018334
19 201812
20
Ultra-Reliable Low-Latency Communication (URLLC): Principles and Building Blocks.
201720

About Čedomir Stefanović

Čedomir Stefanović is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Control and Systems Engineering, having authored 100 papers that have together received 3.0k indexed citations. Recurring topics across this work include IoT Networks and Protocols (41 papers), Age of Information Optimization (21 papers), Cooperative Communication and Network Coding (19 papers), Energy Harvesting in Wireless Networks (14 papers), Microgrid Control and Optimization (14 papers), Smart Grid Energy Management (13 papers), IoT and Edge/Fog Computing (11 papers) and Wireless Body Area Networks (11 papers). The work is most often cited by research in Computer Networks and Communications (1.4k citations), Electrical and Electronic Engineering (2.5k citations) and Control and Systems Engineering (599 citations). Čedomir Stefanović has collaborated with scholars based in Denmark, Serbia and Italy. Frequent co-authors include Petar Popovski, Nuno K. Pratas, Elisabeth de Carvalho, Armin Dekorsy, Carsten Bockelmann, Tomislav Dragičević, Tommy Svensson, Hosein Nikopour, Josep M. Guerrero and Juan C. Vásquez.

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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