P. Haskell

407 citations
10 papers · 178 · h-index 7

Impact in

    • Astronomy and Astrophysical Research
    • Galaxies: Formation, Evolution, Phenomena
    • Radio Astronomy Observations and Technology
    • Gamma-ray bursts and supernovae
    • Astrophysics and Star Formation Studies
    • Stellar, planetary, and galactic studies
    • Astrophysical Phenomena and Observations

Papers in

P. Haskell

9 papers receiving 152 citations

Peers

P. Haskell
Comparison fields: 5 of 14
  • Instrumentation 58
  • Astronomy and Astrophysics 164
  • Nuclear and High Energy Physics 80
  • Computational Mechanics 12
  • Media Technology 2
Replace Donghoon Son with:
Donghoon Son South Korea
D. Cs. Molnár Italy
Konstantinos Kolokythas United States
Taylor A. Hutchison United States
O. Garcet Belgium
J. F. Radcliffe United Kingdom
Г. А. Хорунжев Russia
Jed McKinney United States
N. Filiz Ak Türkiye
Keira Brooks United States
P. Haskell relative to Donghoon Son South Korea Donghoon Son's profile →
Citations per field
00.5×1.7×
Donghoon Son · 1×
Citations per year

Countries citing papers authored by P. Haskell

Since Specialization
Citations

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

Fields of papers citing papers by P. Haskell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 202059
2 202236
3 202324
4 202117
5 202413
6 202310
7 20249
8 20246
9 20244
10
The Miranda Star Sensor Experiment.
19780

About P. Haskell

P. Haskell is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics, Instrumentation, Ecology and Aerospace Engineering, having authored 10 papers that have together received 178 indexed citations. Recurring topics across this work include Galaxies: Formation, Evolution, Phenomena (9 papers), Radio Astronomy Observations and Technology (6 papers), Astrophysics and Cosmic Phenomena (4 papers), Astronomy and Astrophysical Research (3 papers), Remote Sensing in Agriculture (1 paper), Spacecraft Design and Technology (1 paper), Astrophysical Phenomena and Observations (1 paper) and Inertial Sensor and Navigation (1 paper). The work is most often cited by research in Instrumentation (58 citations), Astronomy and Astrophysics (164 citations), Nuclear and High Energy Physics (80 citations), Computational Mechanics (12 citations) and Media Technology (2 citations). P. Haskell has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include R. K. Cochrane, D. J. B. Smith, R. Kondapally, I. Prandoni, M. J. Hardcastle, K. J. Duncan, J. Sabater, G. Gürkan, Matteo Bonato and H. J. A. Röttgering. Their work appears in journals such as Monthly Notices of the Royal Astronomical Society, Astronomy and Astrophysics, Monthly Notices of the Royal Astronomical Society Letters and Defense Technical Information Center (DTIC).

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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