David Droz

1.6k total citations
9 papers, 47 citations indexed

About

David Droz is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, David Droz has authored 9 papers receiving a total of 47 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Nuclear and High Energy Physics, 2 papers in Astronomy and Astrophysics and 1 paper in Pulmonary and Respiratory Medicine. Recurrent topics in David Droz's work include Dark Matter and Cosmic Phenomena (7 papers), Particle Detector Development and Performance (6 papers) and Particle physics theoretical and experimental studies (3 papers). David Droz is often cited by papers focused on Dark Matter and Cosmic Phenomena (7 papers), Particle Detector Development and Performance (6 papers) and Particle physics theoretical and experimental studies (3 papers). David Droz collaborates with scholars based in Switzerland, Italy and China. David Droz's co-authors include A. Tykhonov, X. Wu, R. Joseph, Jean‐Paul Kneib, R. B. Metcalf, F. Courbin, P. Dubath, D. Paraficz, A. Tramacere and Margherita Di Santo and has published in prestigious journals such as Astroparticle Physics, Journal of Instrumentation and arXiv (Cornell University).

In The Last Decade

David Droz

8 papers receiving 46 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David Droz Switzerland	4	25	21	7	7	4	9	47
Z. Staniszewski United States	3	50 2.0×	28 1.3×	4 0.6×	12 1.7×	4 1.0×	7	58
Adam Zadrożny Poland	4	23 0.9×	12 0.6×	3 0.4×	6 0.9×	2 0.5×	13	35
H. Dole France	2	42 1.7×	14 0.7×	5 0.7×	20 2.9×	2 0.5×	2	48
D. Crespo Spain	5	43 1.7×	10 0.5×	11 1.6×	15 2.1×	2 0.5×	12	54
Mansour Karami Canada	3	50 2.0×	27 1.3×	6 0.9×	6 0.9×		3	52
Yilun Guan United States	4	35 1.4×	23 1.1×	7 1.0×	6 0.9×		7	45
A. L. James United States	2	20 0.8×	23 1.1×	10 1.4×	3 0.4×		3	35
Lloyd Knox United States	4	62 2.5×	36 1.7×	3 0.4×	4 0.6×	3 0.8×	6	67
Kevin Pardede Italy	4	45 1.8×	15 0.7×	5 0.7×	9 1.3×		5	53
I. Heywood Australia	2	64 2.6×	24 1.1×	5 0.7×	22 3.1×	3 0.8×	2	67

Countries citing papers authored by David Droz

Since Specialization

Citations

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

Fields of papers citing papers by David Droz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Droz

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

All Works

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9 of 9 papers shown

1.

Droz, David, et al.. (2023). HAGRID - High Accuracy GRB Rapid Inference with Deep learning. arXiv (Cornell University). 724–724. 1 indexed citations

2.

Droz, David, A. Tykhonov, X. Wu, & M. Deliyergiyev. (2022). Neural networks for TeV cosmic electrons identification on the DAMPE experiment. 45–45. 1 indexed citations

3.

Tykhonov, A., Paul Coppin, M. Deliyergiyev, et al.. (2022). A deep learning method for the trajectory reconstruction of cosmic rays with the DAMPE mission. Astroparticle Physics. 146. 102795–102795. 5 indexed citations

4.

Droz, David, et al.. (2021). Machine learning methods for helium flux analysis with DAMPE experiment. Proceedings of 37th International Cosmic Ray Conference — PoS(ICRC2021). 77–77.

5.

Jiang, Wei, F. Fang, David Droz, Yifeng Wei, & Yongjie Zhang. (2021). Simulation of the DAMPE detector. Proceedings of 37th International Cosmic Ray Conference — PoS(ICRC2021). 82–82. 2 indexed citations

6.

Droz, David, A. Tykhonov, X. Wu, et al.. (2021). A neural network classifier for electron identification on the DAMPE experiment. Journal of Instrumentation. 16(7). P07036–P07036. 8 indexed citations

7.

Droz, David, A. Tykhonov, & X. Wu. (2019). Neural Networks for Electron Identification with DAMPE. Proceedings of 36th International Cosmic Ray Conference — PoS(ICRC2019). 64–64. 3 indexed citations

8.

Tykhonov, A., et al.. (2019). TeV--PeV hadronic simulations with DAMPE. Proceedings of 36th International Cosmic Ray Conference — PoS(ICRC2019). 143–143. 4 indexed citations

9.

Paraficz, D., F. Courbin, A. Tramacere, et al.. (2016). The PCA Lens-Finder: application to CFHTLS. Springer Link (Chiba Institute of Technology). 23 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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