Vladimir Čeperić

53 total papers · 1.1k total citations
26 papers, 757 citations indexed

About

Vladimir Čeperić is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Hardware and Architecture. According to data from OpenAlex, Vladimir Čeperić has authored 26 papers receiving a total of 757 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Electrical and Electronic Engineering, 13 papers in Artificial Intelligence and 4 papers in Hardware and Architecture. Recurrent topics in Vladimir Čeperić's work include Neural Networks and Reservoir Computing (6 papers), Electromagnetic Compatibility and Noise Suppression (5 papers) and VLSI and Analog Circuit Testing (4 papers). Vladimir Čeperić is often cited by papers focused on Neural Networks and Reservoir Computing (6 papers), Electromagnetic Compatibility and Noise Suppression (5 papers) and VLSI and Analog Circuit Testing (4 papers). Vladimir Čeperić collaborates with scholars based in Croatia, Belgium and United States. Vladimir Čeperić's co-authors include Adrijan Barić, Saša Žiković, John D. Joannopoulos, Marin Soljačić, Georges Gielen, Ryan Hamerly, Nicholas C. Harris, Jacques Carolan, Yichen Shen and Mihika Prabhu and has published in prestigious journals such as IEEE Transactions on Power Systems, Expert Systems with Applications and Energy.

In The Last Decade

Vladimir Čeperić

24 papers receiving 730 citations

Hit Papers

A Strategy for Short-Term... 2013 2026 2017 2021 2013 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Vladimir Čeperić 586 275 167 93 79 26 757
Tao Chen 228 0.4× 192 0.7× 112 0.7× 52 0.6× 32 0.4× 30 803
Ting Wang 339 0.6× 355 1.3× 60 0.4× 114 1.2× 30 0.4× 46 628
Chunjie Li 554 0.9× 166 0.6× 88 0.5× 45 0.5× 30 0.4× 58 870
Jiafan Yu 505 0.9× 158 0.6× 18 0.1× 55 0.6× 22 0.3× 17 781
Ying Zhou 401 0.7× 142 0.5× 178 1.1× 46 0.5× 15 0.2× 41 733
Muhammad Waqar Aslam 328 0.6× 442 1.6× 51 0.3× 47 0.5× 211 2.7× 27 886
Michiel Hermans 305 0.5× 494 1.8× 24 0.1× 82 0.9× 25 0.3× 21 747
Chaoli Zhang 189 0.3× 352 1.3× 122 0.7× 60 0.6× 51 0.6× 17 849
Ta‐Peng Tsao 578 1.0× 122 0.4× 86 0.5× 32 0.3× 25 0.3× 46 805
Changqing Cheng 177 0.3× 89 0.3× 83 0.5× 23 0.2× 14 0.2× 46 705

Countries citing papers authored by Vladimir Čeperić

Since Specialization
Citations

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

Fields of papers citing papers by Vladimir Čeperić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vladimir Čeperić

This figure shows the co-authorship network connecting the top 25 collaborators of Vladimir Čeperić. A scholar is included among the top collaborators of Vladimir Čeperić 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 Vladimir Čeperić. Vladimir Čeperić 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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