D. Tujkovic

436 citations
36 papers · 255 · h-index 8

Impact in

Papers in

D. Tujkovic

33 papers receiving 218 citations

Peers

D. Tujkovic
Comparison fields: 5 of 15
  • Computer Networks and Communications 209
  • Electrical and Electronic Engineering 234
  • Artificial Intelligence 30
  • Aerospace Engineering 19
  • Computer Vision and Pattern Recognition 15
Replace Amin Mobasher with:
Amin Mobasher Canada
F. Vanhaverbeke Belgium
Qing F. Zhou China
D.M. Ionescu United States
C.F. Ball Germany
T.A. Wilkinson United Kingdom
Kenichi Taniuchi United States
J.M. Torrance United Kingdom
Jong‐Ho Paik South Korea
K.Y. Wu Hong Kong
D. Tujkovic relative to Amin Mobasher Canada Amin Mobasher's profile →
Citations per field
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Amin Mobasher · 1×
Citations per year

Countries citing papers authored by D. Tujkovic

Since Specialization
Citations

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

Fields of papers citing papers by D. Tujkovic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200551
2 200236
3 200219
4 200516
5 200315
6 200515
7 200512
8 200510
9 20017
10 20027
11 20056
12 20026
13 20056
14 20045
15 20024
16 20024
17 20044
18
Performance evaluation of turbo and space-time turbo coded MC-CDMA downlink in single and multi-cell environments
20043
19 20033
20 20053

About D. Tujkovic

D. Tujkovic is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Artificial Intelligence, Aerospace Engineering and General Health Professions, having authored 36 papers that have together received 255 indexed citations. Recurring topics across this work include Wireless Communication Networks Research (29 papers), Advanced Wireless Communication Techniques (29 papers), Advanced MIMO Systems Optimization (12 papers), Advanced Wireless Network Optimization (10 papers), Coding theory and cryptography (6 papers), Satellite Communication Systems (6 papers), Cooperative Communication and Network Coding (4 papers) and PAPR reduction in OFDM (2 papers). The work is most often cited by research in Computer Networks and Communications (209 citations), Electrical and Electronic Engineering (234 citations), Artificial Intelligence (30 citations), Aerospace Engineering (19 citations) and Computer Vision and Pattern Recognition (15 citations). D. Tujkovic has collaborated with scholars based in Finland, United States and Japan. Frequent co-authors include Markku Juntti, Matti Latva‐aho, Mikko Vehkaperä, Marian Codreanu, Shinsuke Hara, Tapio Seppänen, Nedeljko Cvejic, Eunchul Yoon, A. Paulraj and Z. Li. Their work appears in journals such as IEEE Transactions on Vehicular Technology, IEEE Communications Letters, IEEE Transactions on Information Theory, IEEE Transactions on Wireless Communications and IEEE Communications Magazine.

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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