A. Wurz

554 citations
14 papers · 59 · h-index 5

Impact in

Papers in

A. Wurz

13 papers receiving 48 citations

Peers

A. Wurz
Comparison fields: 5 of 26
  • Nuclear and High Energy Physics 25
  • Hardware and Architecture 7
  • Radiation 8
  • Artificial Intelligence 22
  • Computer Networks and Communications 9
Replace N. V. Tran with:
N. V. Tran United States
P. Harris United States
J. Gläß Germany
M. Campbell United States
L. Sartori Italy
K. Maeshima United States
F. Ratnikov Russia
S. Y. Jun United States
G. B. Cerati United States
C. Baldanza Italy
A. Wurz relative to N. V. Tran United States N. V. Tran's profile →
Citations per field
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N. V. Tran · 1×
Citations per year

Countries citing papers authored by A. Wurz

Since Specialization
Citations

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

Fields of papers citing papers by A. Wurz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside A. Wurz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with A. Wurz Line = papers co-authored together A. Wurz links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 199322
2 19988
3 20116
4 20025
5 20024
6
A Task-based Messaging Approach To Facilitate Staff Work
20103
7
DAQ Online Software and the Run Control System in the HERA-B Experiment
19993
8 19902
9 19902
10 20091
11
Terabit per Second Data Transfer for the HERA-B First Level Trigger
20021
12 20021
13 20021
14
Implementation of the HERA-B First Level Trigger
19970

About A. Wurz

A. Wurz is a scholar working on Nuclear and High Energy Physics, Hardware and Architecture, Computer Networks and Communications, Electrical and Electronic Engineering and Radiation, having authored 14 papers that have together received 59 indexed citations. Recurring topics across this work include Particle Detector Development and Performance (8 papers), Particle physics theoretical and experimental studies (5 papers), Parallel Computing and Optimization Techniques (4 papers), Dark Matter and Cosmic Phenomena (2 papers), Radiation Detection and Scintillator Technologies (2 papers), Neural Networks and Applications (2 papers), Distributed and Parallel Computing Systems (2 papers) and Particle Accelerators and Free-Electron Lasers (2 papers). The work is most often cited by research in Nuclear and High Energy Physics (25 citations), Hardware and Architecture (7 citations), Radiation (8 citations), Artificial Intelligence (22 citations) and Computer Networks and Communications (9 citations). A. Wurz has collaborated with scholars based in Germany, Russia and Netherlands. Frequent co-authors include Reinhard Männer, J. Gläß, Ulrich Ramacher, Joachim K. Anlauf, A. Kugel, Marcus Hoffmann, E. Gerndt, D. Reßing, F. Ratnikov and C. Ender. Their work appears in journals such as IEEE Transactions on Nuclear Science, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, International Journal of Neural Systems, 2001 IEEE Nuclear Science Symposium Conference Record (Cat. No.01CH37310) and MADOC (University of Mannheim).

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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