T. G. Forbes

2.3k citations
21 papers · 1.6k indexed · 1 hit paper · h-index 11

T. G. Forbes

19 papers receiving 1.5k citations

Hit Papers

Effects of reconnection on the coronal mass ejection process4852000202620082017100200300400

Peers

T. G. Forbes
Comparison fields: 5 of 39
  • Astronomy and Astrophysics 1.6k
  • Molecular Biology 420
  • Nuclear and High Energy Physics 77
  • Oceanography 21
  • Artificial Intelligence 54
Replace S. F. Martin with:
S. F. Martin United States
Yunchun Jiang China
Takenori J. Okamoto Japan
V. Archontis United Kingdom
I. V. Zimovets Russia
Pankaj Kumar United States
I. Arregui Spain
Hiroki Kurokawa Japan
Andrea Verdini Italy
R. D’Amicis Italy
T. G. Forbes relative to S. F. Martin United States S. F. Martin's profile →
Citations per field
00.5×2.9×
S. F. Martin · 1×
Citations per year

Countries citing papers authored by T. G. Forbes

Since Specialization
Citations

This map shows the geographic impact of T. G. Forbes'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 T. G. Forbes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. G. Forbes more than expected).

Fields of papers citing papers by T. G. Forbes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. G. Forbes. 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 T. G. Forbes. The network helps show where T. G. Forbes may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20243
2 201456
3 200934
4 20072
5 200769
6 20041
7
Pre-Eruptive and Eruptive Magnetic Structures in the Solar Corona
20032
8 20037
9
Numerical Test of a Three-Dimensional Flux Rope Model for Coronal Mass Ejections Based on Ideal MHD Processes
20021
10
Observational Evidence of New Current Sheets Following CMEs
20011
11 200187
12 2000469
13
Effects of reconnection on the coronal mass ejection processbreakdown →
2000485
14 1998132
15 199438
16 1990117
17 198831
18
A reconnection mechanism for coronal condensations in two-ribbon flares
19862
19 19845
20 19840

About T. G. Forbes

T. G. Forbes is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and General Economics, Econometrics and Finance, having authored 21 papers that have together received 1.6k indexed citations. Recurring topics across this work include Solar and Space Plasma Dynamics (18 papers), Ionosphere and magnetosphere dynamics (13 papers), Astro and Planetary Science (9 papers), Geomagnetism and Paleomagnetism Studies (5 papers), Stellar, planetary, and galactic studies (3 papers), Magnetic confinement fusion research (2 papers), Solar Radiation and Photovoltaics (1 paper) and Gamma-ray bursts and supernovae (1 paper). The work is most often cited by research in Astronomy and Astrophysics (1.6k citations), Molecular Biology (420 citations) and Nuclear and High Energy Physics (77 citations). T. G. Forbes has collaborated with scholars based in United States, China and France. Frequent co-authors include Jun Lin, Philip A. Isenberg, Lin Jiao, P. Démoulin, E. R. Priest, A. Vourlidas, Jingjing Li, J. C. Raymond, Yuan‐Kuen Ko and Jun Lin. Their work appears in journals such as Science, Journal of Geophysical Research Atmospheres 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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