Csaba Petre

14 papers receiving 326 citations

Peers

Csaba Petre
Comparison fields: 5 of 43
  • Hardware and Architecture 50
  • Cognitive Neuroscience 87
  • Electrical and Electronic Engineering 259
  • Biomedical Engineering 158
  • Cellular and Molecular Neuroscience 59
Replace Luiz Carlos Gouveia with:
Luiz Carlos Gouveia United Kingdom
H.L. Fiedler Germany
Suma George United States
Richard Wunderlich United States
Sheng-Yu Peng United States
Stephen Brink United States
Stephen Nease United States
Brian Degnan United States
Shubha Ramakrishnan United States
A. Pavasović Serbia
Csaba Petre relative to Luiz Carlos Gouveia United Kingdom Luiz Carlos Gouveia's profile →
Citations per field
00.5×2.9×
Luiz Carlos Gouveia · 1×
Citations per year

Countries citing papers authored by Csaba Petre

Since Specialization
Citations

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

Fields of papers citing papers by Csaba Petre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Csaba Petre, 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 Csaba Petre Line = papers co-authored together Csaba Petre links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 201096
2 201064
3 200747
4 201029
5 200822
6 201022
7 200814
8 200812
9 201010
10 201010
11 20105
12 20132
13 20132
14 20131

About Csaba Petre

Csaba Petre is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Cognitive Neuroscience, Cellular and Molecular Neuroscience and Hardware and Architecture, having authored 14 papers that have together received 336 indexed citations. Recurring topics across this work include Analog and Mixed-Signal Circuit Design (6 papers), Neural dynamics and brain function (5 papers), Advanced Memory and Neural Computing (4 papers), Neuroscience and Neural Engineering (3 papers), Retinal Development and Disorders (2 papers), Experimental Learning in Engineering (2 papers), Low-power high-performance VLSI design (2 papers) and stochastic dynamics and bifurcation (2 papers). The work is most often cited by research in Hardware and Architecture (50 citations), Cognitive Neuroscience (87 citations), Electrical and Electronic Engineering (259 citations), Biomedical Engineering (158 citations) and Cellular and Molecular Neuroscience (59 citations). Csaba Petre has collaborated with scholars based in United States, Singapore and Türkiye. Frequent co-authors include P. Hasler, Arindam Basu, Craig Schlottmann, Scott Koziol, Shubha Ramakrishnan, Stephen Brink, Christopher M. Twigg, Jesse Lu, Josh Conway and Eli Yablonovitch. Their work appears in journals such as BMC Neuroscience, IEEE Transactions on Biomedical Circuits and Systems, Journal of the Optical Society of America B, IEEE Journal of Solid-State Circuits and IEEE Transactions on Very Large Scale Integration (VLSI) Systems.

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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