Eric L. Wagner

401 citations
14 papers · 258 · h-index 7

Impact in

Papers in

Eric L. Wagner

12 papers receiving 225 citations

Peers

Eric L. Wagner
Comparison fields: 5 of 34
  • Astronomy and Astrophysics 219
  • Artificial Intelligence 114
  • Renewable Energy, Sustainability and the Environment 26
  • Geophysics 13
  • Computer Vision and Pattern Recognition 19
Replace Xiantong Wang with:
Xiantong Wang United States
Jordan A. Guerra United States
Changyi Tan United States
Daye Lim South Korea
I. Kontogiannis Germany
Sung‐Hong Park South Korea
Tatiana Podladchikova Russia
P. N. Bernasconi United States
Stefan J. Hofmeister Austria
Eric L. Wagner relative to Xiantong Wang United States Xiantong Wang's profile →
Citations per field
00.5×3.6×
Xiantong Wang · 1×
Citations per year

Countries citing papers authored by Eric L. Wagner

Since Specialization
Citations

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

Fields of papers citing papers by Eric L. Wagner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric L. Wagner. 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 Eric L. Wagner. The network helps show where Eric L. Wagner may publish in the future.

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2016146
2 201838
3 201727
4 202314
5 20229
6 20238
7 20017
8 20123
9 20043
10 20241
11 19951
12 20231
13 20260
14 20250

About Eric L. Wagner

Eric L. Wagner is a scholar working on Astronomy and Astrophysics, Artificial Intelligence, Atomic and Molecular Physics, and Optics, Molecular Biology and Electrical and Electronic Engineering, having authored 14 papers that have together received 258 indexed citations. Recurring topics across this work include Solar and Space Plasma Dynamics (9 papers), Solar Radiation and Photovoltaics (6 papers), Ionosphere and magnetosphere dynamics (3 papers), Adaptive optics and wavefront sensing (2 papers), Geomagnetism and Paleomagnetism Studies (2 papers), Plant Water Relations and Carbon Dynamics (1 paper), Remote Sensing in Agriculture (1 paper) and Superconducting Materials and Applications (1 paper). The work is most often cited by research in Astronomy and Astrophysics (219 citations), Artificial Intelligence (114 citations), Renewable Energy, Sustainability and the Environment (26 citations), Geophysics (13 citations) and Computer Vision and Pattern Recognition (19 citations). Eric L. Wagner has collaborated with scholars based in United States, Japan and Austria. Frequent co-authors include K. D. Leka, G. Barnes, Paul Higgins, Rami Qahwaji, T. M. Dunn, D. A. Falconer, Manolis K. Georgoulis, D. Shaun Bloomfield, M. S. Wheatland and R. T. James McAteer. Their work appears in journals such as The Astrophysical Journal, Solar Physics, Physica B Condensed Matter, Waves in Random and Complex Media and Review of Scientific Instruments.

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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