I. Ojalvo

12.6k total citations
4 papers, 38 citations indexed

About

I. Ojalvo is a scholar working on Computer Networks and Communications, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, I. Ojalvo has authored 4 papers receiving a total of 38 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Networks and Communications, 3 papers in Artificial Intelligence and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in I. Ojalvo's work include Radiation Effects in Electronics (1 paper), Error Correcting Code Techniques (1 paper) and Particle Detector Development and Performance (1 paper). I. Ojalvo is often cited by papers focused on Radiation Effects in Electronics (1 paper), Error Correcting Code Techniques (1 paper) and Particle Detector Development and Performance (1 paper). I. Ojalvo collaborates with scholars based in United States, Switzerland and Taiwan. I. Ojalvo's co-authors include P. Elmer, Scott Hauck, S. J. Thais, Sridhara Dasu, Vladimir Lončar, P. Harris, M. Pierini, M. S. Neubauer, Miles Cranmer and Bo‐Cheng Lai and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Instrumentation and Frontiers in Big Data.

In The Last Decade

I. Ojalvo

4 papers receiving 38 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
I. Ojalvo United States 3 19 17 7 6 4 4 38
S. J. Thais United States 3 13 0.7× 15 0.9× 7 1.0× 4 0.7× 3 0.8× 6 31
G. Dezoort United States 3 21 1.1× 19 1.1× 9 1.3× 4 0.7× 6 1.5× 5 46
N. V. Tran United States 2 23 1.2× 22 1.3× 10 1.4× 8 1.3× 9 2.3× 4 55
A. Wurz Germany 5 25 1.3× 22 1.3× 4 0.6× 7 1.2× 9 2.3× 14 59
Saverio Citraro Italy 4 9 0.5× 7 0.4× 6 0.9× 6 1.0× 4 1.0× 12 30
C. Biscarat France 4 24 1.3× 15 0.9× 3 0.4× 5 1.3× 6 42
M. Rieger Germany 4 44 2.3× 23 1.4× 6 0.9× 2 0.3× 8 2.0× 15 58
S. Yang South Korea 3 13 0.7× 5 0.3× 15 2.1× 3 0.5× 3 0.8× 7 35
P. Musella Switzerland 3 53 2.8× 17 1.0× 7 1.0× 3 0.5× 7 1.8× 8 63
J. Gläß Germany 4 15 0.8× 19 1.1× 5 0.7× 6 1.0× 4 1.0× 8 43

Countries citing papers authored by I. Ojalvo

Since Specialization
Citations

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

Fields of papers citing papers by I. Ojalvo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of I. Ojalvo

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

All Works

4 of 4 papers shown
1.
Tsoi, Ho Fung, Vladimir Lončar, Ekaterina Govorkova, et al.. (2024). Symbolic Regression on FPGAs for Fast Machine Learning Inference. SHILAP Revista de lepidopterología. 295. 9036–9036. 9 indexed citations
2.
Govorkova, Ekaterina, N. Chernyavskaya, Philip Harris, et al.. (2023). Knowledge Distillation for Anomaly Detection. 641–646. 1 indexed citations
3.
Huang, Shi‐Yu, J. Duarte, Markus Julian Atkinson, et al.. (2022). Graph Neural Networks for Charged Particle Tracking on FPGAs. Frontiers in Big Data. 5. 828666–828666. 22 indexed citations
4.
Blake, M. Brian, Sridhara Dasu, L. Dodd, et al.. (2016). The Calorimeter Trigger Processor Card: the next generation of high speed algorithmic data processing at CMS. Journal of Instrumentation. 11(2). C02011–C02011. 6 indexed citations

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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