Vladimir Čeperić

1.1k total citations · 1 hit paper
26 papers, 762 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 762 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, Marin Soljačić, John D. Joannopoulos, Georges Gielen, Dirk Englund, Yichen Shen, Charles Roques‐Carmes, Jacques Carolan and Tom Baehr‐Jones 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 735 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A Strategy for Short-Term Load Forecasting by Support Vector Regression Machines

2013 372 citations Vladimir Čeperić, Adrijan Barić et al. IEEE Transactions on Power Systems profile →

Peers

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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20 of 20 papers shown

#	Work	Indexed citations
1	Transforming Time-Series Data for Improved LLM-Based Forecasting Through Adaptive Encoding 2024 ·International Journal of Simulation Systems Science & Technology ·Vladimir Čeperić, Tomislav Marković	1
2	Design and Verification Challenges in SoC Integration of PicoRV32 RISC-V with Sigma-Delta ADC 2024 ·(unknown), (unknown), (unknown), (unknown), Vladimir Čeperić, (unknown), Tomislav Marković, Adrijan Barić	0
3	Accelerating recurrent Ising machines in photonic integrated circuits 2020 ·Optica ·Mihika Prabhu, Charles Roques‐Carmes, Yichen Shen, Nicholas C. Harris, Jing Li, Jacques Carolan, Ryan Hamerly, Tom Baehr‐Jones, Michael Hochberg, Vladimir Čeperić, John D. Joannopoulos, Dirk Englund, Marin Soljačić	98
4	Photonic Recurrent Ising Sampler 2019 ·Conference on Lasers and Electro-Optics ·Charles Roques‐Carmes, Yichen Shen, (unknown), Mihika Prabhu, (unknown), Li Jing, (unknown), Vladimir Čeperić, John D. Joannopoulos, Dirk Englund, Marin Soljačić	1
5	Photonic Recurrent Ising Sampler 2019 ·Conference on Lasers and Electro-Optics ·Charles Roques‐Carmes, Yichen Shen, (unknown), Mihika Prabhu, (unknown), Li Jing, (unknown), Vladimir Čeperić, John D. Joannopoulos, Dirk Englund, Marin Soljačić	6
6	Short-term forecasting of natural gas prices using machine learning and feature selection algorithms 2017 ·Energy ·(unknown), Saša Žiković, Vladimir Čeperić	67
7	3D Cardiac Electrical Activity Model 2016 ·Automatika ·(unknown), Vladimir Čeperić, Ratko Magjarević	0
8	Echo State Networks for Black-Box Modeling of Integrated Circuits 2015 ·IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems ·(unknown), Vladimir Čeperić, Adrijan Barić	17
9	A symbolic regression-based modelling strategy of AC/DC rectifiers for RFID applications 2014 ·Expert Systems with Applications ·Vladimir Čeperić, (unknown), Adrijan Barić	18
10	Reducing Complexity of Echo State Networks with Sparse Linear Regression Algorithms 2014 ·Vladimir Čeperić, Adrijan Barić	7
11	Area-efficient differential Gaussian circuit for dedicated hardware implementations of Gaussian function based machine learning algorithms 2013 ·Neurocomputing ·(unknown), Vladimir Čeperić, Adrijan Barić	9
12	A Strategy for Short-Term Load Forecasting by Support Vector Regression Machines breakdown → 2013 ·IEEE Transactions on Power Systems ·(unknown), Vladimir Čeperić, Adrijan Barić	372
13	Recurrent sparse support vector regression machines trained by active learning in the time-domain 2012 ·Expert Systems with Applications ·Vladimir Čeperić, Georges Gielen, Adrijan Barić	16
14	Black-box modelling of conducted electromagnetic immunity by support vector machines 2012 ·Vladimir Čeperić, Georges Gielen, Adrijan Barić	4
15	Black-box modelling of conducted electromagnetic emissions by adjustable complexity support vector regression machines 2012 ·Vladimir Čeperić, Georges Gielen, Adrijan Barić	1
16	Sparse multikernel support vector regression machines trained by active learning 2012 ·Expert Systems with Applications ·Vladimir Čeperić, Georges Gielen, Adrijan Barić	11
17	Modelling of Electromagnetic Immunity of Integrated Circuits by Artificial Neural Networks 2009 ·Vladimir Čeperić, Adrijan Barić	12
18	Design and Use of FR-4 CBCPW Lines In Test Fixtures for SMD Components 2007 ·Branimir Pejčinović, Vladimir Čeperić, Adrijan Barić	5
19	Design and Optimization of Self-Biased Complementary Folded Cascode 2006 ·Vladimir Čeperić, (unknown), Adrijan Barić	17
20	Simulations of GaAs voltage controlled differential ring oscillators 2004 ·Vladimir Čeperić, Adrijan Barić	1

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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