G. B. Cerati

37.8k total citations
17 papers, 69 citations indexed

About

G. B. Cerati is a scholar working on Nuclear and High Energy Physics, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, G. B. Cerati has authored 17 papers receiving a total of 69 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Nuclear and High Energy Physics, 5 papers in Artificial Intelligence and 4 papers in Computer Networks and Communications. Recurrent topics in G. B. Cerati's work include Particle Detector Development and Performance (10 papers), Particle physics theoretical and experimental studies (8 papers) and Neutrino Physics Research (4 papers). G. B. Cerati is often cited by papers focused on Particle Detector Development and Performance (10 papers), Particle physics theoretical and experimental studies (8 papers) and Neutrino Physics Research (4 papers). G. B. Cerati collaborates with scholars based in United States, Switzerland and Italy. G. B. Cerati's co-authors include Jim Kowalkowski, Jean-Roch Vlimant, L. Gray, P. Calafiura, Steven Farrell, Mayur Mudigonda, Aristeidis Tsaris, Dustin Anderson, Stephan Zheng and Panagiotis Spentzouris and has published in prestigious journals such as SHILAP Revista de lepidopterología, Physical review. D and Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment.

In The Last Decade

G. B. Cerati

15 papers receiving 66 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
G. B. Cerati United States	5	31	25	11	11	10	17	69
Steven Farrell United States	6	39 1.3×	27 1.1×	24 2.2×	11 1.0×	15 1.5×	14	93
L. Gray United States	6	39 1.3×	19 0.8×	10 0.9×	16 1.5×	7 0.7×	10	72
Panagiotis Spentzouris United States	3	27 0.9×	54 2.2×	6 0.5×	6 0.5×	4 0.4×	10	82
A. Gheaţă Switzerland	5	56 1.8×	11 0.4×	8 0.7×	31 2.8×	9 0.9×	13	89
C. Kiesling Germany	5	60 1.9×	26 1.0×	8 0.7×	16 1.5×	10 1.0×	30	84
Ekaterina Govorkova United States	6	52 1.7×	46 1.8×	4 0.4×	4 0.4×	9 0.9×	9	99
G. Dezoort United States	3	21 0.7×	19 0.8×	6 0.5×	3 0.3×	9 0.9×	5	46
S. Aydin Türkiye	7	53 1.7×	15 0.6×	10 0.9×	35 3.2×	5 0.5×	16	92
F. Ratnikov Russia	6	61 2.0×	18 0.7×	12 1.1×	12 1.1×	5 0.5×	28	90
N. V. Tran United States	2	23 0.7×	22 0.9×	9 0.8×	8 0.7×	10 1.0×	4	55

Countries citing papers authored by G. B. Cerati

Since Specialization

Citations

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

Fields of papers citing papers by G. B. Cerati

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. B. Cerati. 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 G. B. Cerati. The network helps show where G. B. Cerati may publish in the future.

Co-authorship network of co-authors of G. B. Cerati

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

All Works

Sort: Min cites: Since: Top N: Style:

17 of 17 papers shown

Berkman, S., G. B. Cerati, M. J. Kortelainen, et al.. (2024). Exploring code portability solutions for HEP with a particle tracking test code. Frontiers in Big Data. 7. 1485344–1485344. 1 indexed citations

Cerati, G. B.. (2024). MicroBooNE Public Data Sets: A Collaborative Tool for LArTPC Software Development. SHILAP Revista de lepidopterología. 295. 8012–8012. 1 indexed citations

Aurisano, A., et al.. (2024). Graph neural network for neutrino physics event reconstruction. Physical review. D. 110(3). 1 indexed citations

Cerati, G. B., et al.. (2024). Addressing GPU memory limitations for Graph Neural Networks in High-Energy Physics applications. SHILAP Revista de lepidopterología. 2. 1 indexed citations

Hewes, V, G. B. Cerati, Jim Kowalkowski, et al.. (2023). A Case Study of Data Management Challenges Presented in Large-Scale Machine Learning Workflows. 71–81. 5 indexed citations

Berkman, S., G. B. Cerati, K. Knoepfel, et al.. (2022). Optimizing the hit finding algorithm for liquid argon TPC neutrino detectors using parallel architectures. Journal of Instrumentation. 17(1). P01026–P01026. 1 indexed citations

Aurisano, A., G. B. Cerati, Jim Kowalkowski, et al.. (2021). Graph Neural Network for Object Reconstruction in Liquid Argon Time Projection Chambers. SHILAP Revista de lepidopterología. 251. 3054–3054. 7 indexed citations

Berkman, S., et al.. (2020). Reconstruction for Liquid Argon TPC Neutrino Detectors Using Parallel Architectures. SHILAP Revista de lepidopterología. 245. 2012–2012.

Tsaris, Aristeidis, Dustin Anderson, J. Bendavid, et al.. (2018). The HEP.TrkX Project: Deep Learning for Particle Tracking. Journal of Physics Conference Series. 1085. 42023–42023. 12 indexed citations

10.

Farrell, Steven, Dustin Anderson, P. Calafiura, et al.. (2017). The HEP.TrkX Project: deep neural networks for HL-LHC online and offline tracking. SHILAP Revista de lepidopterología. 150. 3–3. 22 indexed citations

11.

Krutelyov, V., et al.. (2017). Impact of tracker layout on track reconstruction with high pileup. Journal of Physics Conference Series. 898. 42023–42023.

12.

Cerati, G. B., P. Elmer, M. Lefebvre, et al.. (2017). Kalman filter tracking on parallel architectures. Journal of Physics Conference Series. 898. 42051–42051. 3 indexed citations

13.

Cerati, G. B., P. Elmer, Matthieu Lefèbvre, et al.. (2017). Parallelized Kalman-Filter-Based Reconstruction of Particle Tracks on Many-Core Processors and GPUs. SHILAP Revista de lepidopterología. 150. 6–6. 1 indexed citations

14.

Cerati, G. B., P. Elmer, Matthieu Lefèbvre, et al.. (2016). Kalman Filter Tracking on Parallel Architectures. SHILAP Revista de lepidopterología. 127. 10–10. 5 indexed citations

15.

Cerati, G. B.. (2015). Vertexing and Tracking Algoritms at High Pile-Up. CERN Document Server (European Organization for Nuclear Research). 37–37. 2 indexed citations

16.

Cerati, G. B., P. Elmer, K. Mcdermott, et al.. (2015). Kalman Filter Tracking on Parallel Architectures. Journal of Physics Conference Series. 664(7). 72008–72008. 4 indexed citations

17.

Cerati, G. B., M. E. Dinardo, A. Flórez, et al.. (2008). Radiation tolerance of the CMS forward pixel detector. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 600(2). 408–416. 3 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.

Explore authors with similar magnitude of impact