Đ. Petrović

60 total papers · 1.1k total citations
41 papers, 808 citations indexed

About

Đ. Petrović is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Industrial and Manufacturing Engineering. According to data from OpenAlex, Đ. Petrović has authored 41 papers receiving a total of 808 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Electrical and Electronic Engineering, 9 papers in Computer Networks and Communications and 6 papers in Industrial and Manufacturing Engineering. Recurrent topics in Đ. Petrović's work include Energy Efficient Wireless Sensor Networks (7 papers), Radioactive element chemistry and processing (6 papers) and Analytical chemistry methods development (5 papers). Đ. Petrović is often cited by papers focused on Energy Efficient Wireless Sensor Networks (7 papers), Radioactive element chemistry and processing (6 papers) and Analytical chemistry methods development (5 papers). Đ. Petrović collaborates with scholars based in Serbia, United States and United Kingdom. Đ. Petrović's co-authors include J. Chou, Kannan Ramchandran, Jan M. Rabaey, Ramachandran Kannan, Rahul Shah, Feng Zhao, J. van Greunen, A. Bonivento, Ksenija Kumrić and Rahul Shah and has published in prestigious journals such as Journal of Hazardous Materials, IEEE Transactions on Information Theory and IEEE Journal on Selected Areas in Communications.

In The Last Decade

Đ. Petrović

37 papers receiving 758 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Đ. Petrović 576 307 54 50 45 41 808
Siguang Chen 267 0.5× 384 1.3× 94 1.7× 81 1.6× 59 1.3× 42 840
Yanqiong Zhang 439 0.8× 140 0.5× 60 1.1× 70 1.4× 18 0.4× 57 910
Jingyuan Hu 298 0.5× 106 0.3× 70 1.3× 86 1.7× 103 2.3× 34 970
Xin Liu 238 0.4× 246 0.8× 85 1.6× 48 1.0× 20 0.4× 74 873
Fanxin Zeng 399 0.7× 513 1.7× 175 3.2× 59 1.2× 16 0.4× 122 763
Jyh‐Horng Wen 419 0.7× 537 1.7× 90 1.7× 26 0.5× 20 0.4× 135 788
Xue Song Zhou 231 0.4× 129 0.4× 89 1.6× 19 0.4× 13 0.3× 64 959
Özgür Özdemir 134 0.2× 432 1.4× 86 1.6× 68 1.4× 44 1.0× 97 1.0k
Jianning Li 354 0.6× 127 0.4× 172 3.2× 53 1.1× 31 0.7× 82 991
Jiahui Li 383 0.7× 211 0.7× 219 4.1× 99 2.0× 16 0.4× 75 1.0k

Countries citing papers authored by Đ. Petrović

Since Specialization
Citations

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

Fields of papers citing papers by Đ. Petrović

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Đ. Petrović

This figure shows the co-authorship network connecting the top 25 collaborators of Đ. Petrović. A scholar is included among the top collaborators of Đ. Petrović 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 Đ. Petrović. Đ. Petrović is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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