J. Sharp

1.3k citations
31 papers · 743 · h-index 15

Impact in

Papers in

J. Sharp

28 papers receiving 734 citations

Peers

J. Sharp
Comparison fields: 5 of 67
  • Atmospheric Science 303
  • Global and Planetary Change 261
  • Environmental Engineering 117
  • Renewable Energy, Sustainability and the Environment 125
  • Artificial Intelligence 209
Replace Vicente Lara-Fanego with:
Vicente Lara-Fanego Spain
Michaël Zamo France
Tara Jensen United States
Isaac Moradi United States
Olivier Pannekoucke France
Jared A. Lee United States
K. Orwig United States
Mark Beauharnois United States
Michael C. Brower United States
Edoardo Geraldi Italy
J. Sharp relative to Vicente Lara-Fanego Spain Vicente Lara-Fanego's profile →
Citations per field
00.5×1.5×
Vicente Lara-Fanego · 1×
Citations per year

Countries citing papers authored by J. Sharp

Since Specialization
Citations

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

Fields of papers citing papers by J. Sharp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015160
2 201478
3 201173
4 200461
5 201961
6 200242
7 201340
8 201935
9 202122
10 201922
11 198322
12 201918
13 200816
14 202015
15 201914
16 201713
17 198511
18 19868
19 20215
20 20055

About J. Sharp

J. Sharp is a scholar working on Electrical and Electronic Engineering, Atmospheric Science, Global and Planetary Change, Atomic and Molecular Physics, and Optics and Artificial Intelligence, having authored 31 papers that have together received 743 indexed citations. Recurring topics across this work include Meteorological Phenomena and Simulations (10 papers), Electromagnetic Simulation and Numerical Methods (9 papers), Atmospheric and Environmental Gas Dynamics (7 papers), Microwave Engineering and Waveguides (7 papers), Energy Load and Power Forecasting (6 papers), Climate variability and models (6 papers), Full-Duplex Wireless Communications (5 papers) and Wind and Air Flow Studies (3 papers). The work is most often cited by research in Atmospheric Science (303 citations), Global and Planetary Change (261 citations), Environmental Engineering (117 citations), Renewable Energy, Sustainability and the Environment (125 citations) and Artificial Intelligence (209 citations). J. Sharp has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Melinda Marquis, Clifford F. Mass, Mark Ahlstrom, J. Helszajn, Eric P. Grimit, Sue Ellen Haupt, Corinna Möhrlen, Craig Collier, James M. Wilczak and Aidan Tuohy. Their work appears in journals such as IEEE Power and Energy Magazine, IEEE Transactions on Microwave Theory and Techniques, Bulletin of the American Meteorological Society, Monthly Weather Review and Journal of Applied Meteorology and Climatology.

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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