D. Kirkby

88.0k citations
35 papers · 564 indexed · h-index 11

D. Kirkby

30 papers receiving 545 citations

Peers

D. Kirkby
Comparison fields: 5 of 73
  • Instrumentation 66
  • Astronomy and Astrophysics 297
  • Nuclear and High Energy Physics 189
  • Management, Monitoring, Policy and Law 100
  • Marketing 46
Replace Lingyu Wang with:
Lingyu Wang Netherlands
M. Prescott South Africa
Thomas W. Murphy United States
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Fabio Vitello Italy
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Citations per field
00.5×10×16.7×
Lingyu Wang · 1×
Citations per year

Countries citing papers authored by D. Kirkby

Since Specialization
Citations

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

Fields of papers citing papers by D. Kirkby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside D. Kirkby, 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. Kirkby Line = papers co-authored together D. Kirkby links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202336
2
WeakLensingDeblending: Weak lensing fast simulations and analysis of blended objects
20211
3 20218
4 20210
5
Empirical Study of MC-Dropout in Various Astronomical Observing Conditions.
20192
6 201969
7
ContextNet: Deep learning for Star Galaxy Classification
20183
8 20180
9 201417
10
Working Group Report: Dark Energy and CMB
20133
11 20132
12 2012128
13 200648
14 200513
15 20045
16 20023
17 20002
18 20002
19
BaBar Online Detector Control
19991
20 19954

About D. Kirkby

D. Kirkby is a scholar working on Instrumentation, Nuclear and High Energy Physics, Astronomy and Astrophysics, Radiation and Hardware and Architecture, having authored 35 papers that have together received 564 indexed citations. Recurring topics across this work include Particle Detector Development and Performance (10 papers), Astronomy and Astrophysical Research (9 papers), Galaxies: Formation, Evolution, Phenomena (8 papers), Particle physics theoretical and experimental studies (6 papers), Particle Accelerators and Free-Electron Lasers (5 papers), Adaptive optics and wavefront sensing (3 papers), Diamond and Carbon-based Materials Research (3 papers) and Particle accelerators and beam dynamics (3 papers). The work is most often cited by research in Instrumentation (66 citations), Astronomy and Astrophysics (297 citations), Nuclear and High Energy Physics (189 citations), Management, Monitoring, Policy and Law (100 citations) and Marketing (46 citations). D. Kirkby has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Manoj Kaplinghat, Shahab Joudaki, Ryan E. Keeley, W. Verkerke, Angela Sanguinetti, Nora Davis, Beth Karlin, Daniel Stokols, S. M. Kahn and Andrew J. Connolly. Their work appears in journals such as Monthly Notices of the Royal Astronomical Society, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, IEEE Transactions on Nuclear Science, Computer Physics Communications and Physical review. D.

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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