P. Haskell

431 citations
13 papers · 347 · h-index 11

Impact in

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

Papers in

P. Haskell

12 papers receiving 296 citations

Peers

P. Haskell
Comparison fields: 5 of 22
  • Instrumentation 117
  • Astronomy and Astrophysics 316
  • Nuclear and High Energy Physics 138
  • Computational Mechanics 27
  • Oceanography 7
Replace Natalia Lyskova with:
Natalia Lyskova Russia
Г. А. Хорунжев Russia
Juliette Authier Switzerland
Avery Wold United States
Zara Randriamanakoto South Africa
Hannah McCall United States
Christopher R. Mann United States
H. Starck Germany
Mojtaba Raouf Iran
Z. T. Spetsieri Greece
P. Haskell relative to Natalia Lyskova Russia Natalia Lyskova's profile →
Citations per field
00.5×1.5×1.9×
Natalia Lyskova · 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

13 of 13 papers shown
#Work
1 202079
2 202376
3 202246
4 202328
5 202021
6 202120
7 202417
8 202316
9 202414
10 202412
11 202211
12 20247
13
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, Aerospace Engineering and Ecology, having authored 13 papers that have together received 347 indexed citations. Recurring topics across this work include Galaxies: Formation, Evolution, Phenomena (12 papers), Radio Astronomy Observations and Technology (8 papers), Astrophysics and Cosmic Phenomena (5 papers), Astronomy and Astrophysical Research (3 papers), Astrophysical Phenomena and Observations (3 papers), Gamma-ray bursts and supernovae (2 papers), CCD and CMOS Imaging Sensors (1 paper) and Remote Sensing in Agriculture (1 paper). The work is most often cited by research in Instrumentation (117 citations), Astronomy and Astrophysics (316 citations), Nuclear and High Energy Physics (138 citations), Computational Mechanics (27 citations) and Oceanography (7 citations). P. Haskell has collaborated with scholars based in United Kingdom, Italy and Netherlands. Frequent co-authors include Rachel Cochrane, Daniel J. B. Smith, Rohit Kondapally, Isabella Prandoni, Huub J. A. Röttgering, Kenneth Duncan, Martin Hardcastle, J. Sabater, Matteo Bonato and Gülay Gürkan. 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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