D. E. Ferreira de Lima

87.8k total citations
8 papers, 71 citations indexed

About

D. E. Ferreira de Lima is a scholar working on Radiation, Nuclear and High Energy Physics and Materials Chemistry. According to data from OpenAlex, D. E. Ferreira de Lima has authored 8 papers receiving a total of 71 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Radiation, 3 papers in Nuclear and High Energy Physics and 3 papers in Materials Chemistry. Recurrent topics in D. E. Ferreira de Lima's work include Particle physics theoretical and experimental studies (3 papers), Advanced X-ray Imaging Techniques (3 papers) and Particle Detector Development and Performance (2 papers). D. E. Ferreira de Lima is often cited by papers focused on Particle physics theoretical and experimental studies (3 papers), Advanced X-ray Imaging Techniques (3 papers) and Particle Detector Development and Performance (2 papers). D. E. Ferreira de Lima collaborates with scholars based in Germany, Australia and United Kingdom. D. E. Ferreira de Lima's co-authors include Andreas Papaefstathiou, Michael Spannowsky, Michael Spannowsky, Olivier Mattelaer, Henry Kirkwood, Thomas Michelat, Hans Fangohr, Jan Grünert, Michael J. Schuh and F. Koua and has published in prestigious journals such as Scientific Reports, Physics Letters B and Applied Sciences.

In The Last Decade

D. E. Ferreira de Lima

8 papers receiving 70 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. E. Ferreira de Lima Germany 3 64 9 5 4 3 8 71
A. Dominguez United States 5 52 0.8× 11 1.2× 4 0.8× 3 0.8× 4 1.3× 6 52
K. Lohwasser Germany 6 100 1.6× 10 1.1× 2 0.4× 3 0.8× 4 1.3× 11 107
A. Carvalho Antunes De Oliveira Estonia 4 94 1.5× 8 0.9× 3 0.6× 3 0.8× 6 94
A. Rinkevičius Switzerland 3 65 1.0× 9 1.0× 3 0.6× 5 1.3× 3 65
Predrag Milenović Switzerland 4 73 1.1× 9 1.0× 3 0.6× 5 1.3× 1 0.3× 10 73
M. Beckingham France 3 47 0.7× 7 0.8× 2 0.4× 4 1.0× 2 0.7× 5 53
S. Frixione Switzerland 2 118 1.8× 8 0.9× 5 1.0× 3 0.8× 2 118
R. Zhang United States 5 62 1.0× 4 0.4× 10 2.0× 4 1.0× 7 2.3× 9 67
H. Åkerstedt Canada 4 94 1.5× 21 2.3× 5 1.0× 3 0.8× 4 1.3× 11 96
J. A. Frost United Kingdom 4 74 1.2× 11 1.2× 8 1.6× 6 1.5× 9 86

Countries citing papers authored by D. E. Ferreira de Lima

Since Specialization
Citations

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

Fields of papers citing papers by D. E. Ferreira de Lima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. E. Ferreira de Lima. 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 D. E. Ferreira de Lima. The network helps show where D. E. Ferreira de Lima may publish in the future.

Co-authorship network of co-authors of D. E. Ferreira de Lima

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

All Works

8 of 8 papers shown
1.
Lima, D. E. Ferreira de, Joakim Laksman, Natalia Gerasimova, et al.. (2024). Machine-learning-enhanced automatic spectral characterization of x-ray pulses from a free-electron laser. Communications Physics. 7(1). 1 indexed citations
2.
Laksman, Joakim, Florian Dietrich, Theophilos Maltezopoulos, et al.. (2024). Operation of Photo Electron Spectrometers for Non-Invasive Photon Diagnostics at the European X-Ray Free Electron Laser. Applied Sciences. 14(22). 10152–10152. 2 indexed citations
3.
Turkot, O., Richard Bean, Hans Fangohr, et al.. (2023). EXtra-Xwiz: A Tool to Streamline Serial Femtosecond Crystallography Workflows at European XFEL. Crystals. 13(11). 1533–1533. 1 indexed citations
4.
Turkot, O., Fabio Dall’Antonia, Richard Bean, et al.. (2023). Towards automated analysis of serial crystallography data at European XFEL. European XFEL Publication Database. 45–45. 1 indexed citations
5.
Brockhauser, Sándor, et al.. (2023). Application of self-supervised approaches to the classification of X-ray diffraction spectra during phase transitions. Scientific Reports. 13(1). 9370–9370. 1 indexed citations
6.
Lima, D. E. Ferreira de, Olivier Mattelaer, & Michael Spannowsky. (2018). Searching for processes with invisible particles using a matrix element-based method. Physics Letters B. 787. 100–104. 6 indexed citations
7.
Lima, D. E. Ferreira de, Andreas Papaefstathiou, & Michael Spannowsky. (2014). Standard model Higgs boson pair production in the (b b)(b b) final state. Zurich Open Repository and Archive (University of Zurich). 58 indexed citations
8.
Lima, D. E. Ferreira de, et al.. (2009). Neural online filtering based on preprocessed calorimeter data. 1. 530–536. 1 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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