P. Wu

1.7k citations
30 papers · 1.3k · h-index 17

Impact in

Papers in

P. Wu

28 papers receiving 1.2k citations

Peers

P. Wu
Comparison fields: 5 of 38
  • Astronomy and Astrophysics 1.2k
  • Nuclear and High Energy Physics 295
  • Molecular Biology 344
  • Computational Mechanics 100
  • Geophysics 57
Replace T. Neukirch with:
T. Neukirch United Kingdom
Jason M. TenBarge United States
R. Soler Spain
Riddhi Bandyopadhyay United States
Jean Carlos Perez United States
C. H. K. Chen United Kingdom
Giorgio Einaudi Italy
D. Sundkvist United States
Judith T. Karpen United States
Rohit Chhiber United States
P. Wu relative to T. Neukirch United Kingdom T. Neukirch's profile →
Citations per field
00.5×1.5×2.0×
T. Neukirch · 1×
Citations per year

Countries citing papers authored by P. Wu

Since Specialization
Citations

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

Fields of papers citing papers by P. Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013264
2 2012144
3 2013113
4 2015102
5 201785
6
Electron Heating During Magnetic Reconnection: A Simulation Scaling Study
201474
7 201672
8 201252
9 201351
10 200646
11 201643
12 200937
13 201832
14 200930
15 200929
16 201124
17 201022
18 199616
19 199311
20 19726

About P. Wu

P. Wu is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics, Computational Mechanics, Atmospheric Science and Statistics, Probability and Uncertainty, having authored 30 papers that have together received 1.3k indexed citations. Recurring topics across this work include Solar and Space Plasma Dynamics (24 papers), Ionosphere and magnetosphere dynamics (21 papers), Astro and Planetary Science (9 papers), Magnetic confinement fusion research (9 papers), Fluid Dynamics and Turbulent Flows (3 papers), Geomagnetism and Paleomagnetism Studies (2 papers), Atmospheric Ozone and Climate (2 papers) and Material Dynamics and Properties (1 paper). The work is most often cited by research in Astronomy and Astrophysics (1.2k citations), Nuclear and High Energy Physics (295 citations), Molecular Biology (344 citations), Computational Mechanics (100 citations) and Geophysics (57 citations). P. Wu has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Michael A. Shay, Minping Wan, William H. Matthaeus, H. Karimabadi, Vadim S. Roytershteyn, Tulasi Nandan Parashar, Sandra Chapman, W. Daughton, Burlen Loring and Joseph E. Borovsky. Their work appears in journals such as Physics of Plasmas, The Astrophysical Journal Letters, Journal of Geophysical Research Atmospheres, Physical Review Letters and The Astrophysical Journal.

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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