N. Chiedde

2.3k total citations
2 papers, 4 citations indexed

About

N. Chiedde is a scholar working on Nuclear and High Energy Physics, Radiation and Hardware and Architecture. According to data from OpenAlex, N. Chiedde has authored 2 papers receiving a total of 4 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Nuclear and High Energy Physics, 1 paper in Radiation and 1 paper in Hardware and Architecture. Recurrent topics in N. Chiedde's work include Particle Detector Development and Performance (2 papers), Parallel Computing and Optimization Techniques (1 paper) and Radiation Effects in Electronics (1 paper). N. Chiedde is often cited by papers focused on Particle Detector Development and Performance (2 papers), Parallel Computing and Optimization Techniques (1 paper) and Radiation Effects in Electronics (1 paper). N. Chiedde collaborates with scholars based in France. N. Chiedde's co-authors include L. A. O. Laatu, R. Faure, N. Sur, T. P. Calvet, E. Monnier, G. Aad and E. Fortin and has published in prestigious journals such as Journal of Instrumentation and arXiv (Cornell University).

In The Last Decade

N. Chiedde

2 papers receiving 4 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
N. Chiedde France 2 3 1 1 1 1 2 4
Junlee Kim South Korea 2 3 1.0× 2 3
Baba Potukuchi India 2 3 1.0× 2 3
S. Maccolini Germany 2 3 1.0× 3 3
E. Caden Canada 1 3 1.0× 2 3
E. Bertholet Switzerland 1 3 1.0× 2 3
P. Cui China 2 3 1.0× 2 3
M. Goncerz Poland 2 3 1.0× 4 3
M. Mazzilli Italy 1 3 1.0× 3 4
L. Y. Shan China 1 3 1.0× 1 1.0× 3 3
V. Lagerquist United States 2 3 1.0× 5 3

Countries citing papers authored by N. Chiedde

Since Specialization
Citations

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

Fields of papers citing papers by N. Chiedde

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of N. Chiedde

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

All Works

2 of 2 papers shown
1.
Aad, G., T. P. Calvet, N. Chiedde, et al.. (2023). Firmware implementation of a recurrent neural network for the computation of the energy deposited in the liquid argon calorimeter of the ATLAS experiment. Journal of Instrumentation. 18(5). P05017–P05017. 2 indexed citations
2.
Chiedde, N.. (2021). Machine Learning for Real-Time Processing of ATLAS Liquid Argon Calorimeter Signals with FPGAs. arXiv (Cornell University). 2 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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