D. Goldner

2.2k citations
6 papers · 35 indexed · h-index 3

Impact in

Papers in

    • Particle Detector Development and Performance 5
    • Particle physics theoretical and experimental studies 3
    • High-Energy Particle Collisions Research 2
    • Radiation Detection and Scintillator Technologies 2
    • Nuclear Physics and Applications 1

D. Goldner

5 papers receiving 31 citations

Peers

D. Goldner
Comparison fields: 5 of 20
  • Nuclear and High Energy Physics 23
  • Medical Laboratory Technology 1
  • Artificial Intelligence 16
  • Hardware and Architecture 3
  • Radiation 3
Replace W. Fröchtenicht with:
W. Fröchtenicht Germany
T. Krämerkämper Germany
T. Kobler Germany
C. Baldanza Italy
J. Gläß Germany
G. Strong Italy
P. Musella Switzerland
M. Dunford Germany
C. Biscarat France
F. Gaede Switzerland
D. Goldner relative to W. Fröchtenicht Germany W. Fröchtenicht's profile →
Citations per field
00.5×1.5×
W. Fröchtenicht · 1×
Citations per year

Countries citing papers authored by D. Goldner

Since Specialization
Citations

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

Fields of papers citing papers by D. Goldner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside D. Goldner, 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 D. Goldner Line = papers co-authored together D. Goldner links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 199726
2
Performance of backpropagation networks in the second-level trigger of the H1-experiment
19933
3 20232
4 20022
5
Fast second level trigger using a neural network architecture for the H1 experiment at HERA
19941
6 19951

About D. Goldner

D. Goldner is a scholar working on Nuclear and High Energy Physics, Radiation, Human-Computer Interaction, Media Technology and Cognitive Neuroscience, having authored 6 papers that have together received 35 indexed citations. Recurring topics across this work include Particle Detector Development and Performance (5 papers), Particle physics theoretical and experimental studies (3 papers), Radiation Detection and Scintillator Technologies (2 papers), High-Energy Particle Collisions Research (2 papers), Nuclear Physics and Applications (1 paper), Virtual Reality Applications and Impacts (1 paper), Advanced Optical Imaging Technologies (1 paper) and Medical Imaging Techniques and Applications (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (23 citations), Medical Laboratory Technology (1 citation), Artificial Intelligence (16 citations), Hardware and Architecture (3 citations) and Radiation (3 citations). D. Goldner has collaborated with scholars based in Germany and United States. Frequent co-authors include H. Kolanoski, C. Kiesling, J. Fent, Alexander Gruber, T. Kobler, M. Kolander, W. Haberer, W. Fröchtenicht, T. Krämerkämper and Jeffrey R. Mock. Their work appears in journals such as Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, International Journal of Modern Physics C, SoftwareX and Prepared for.

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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2026