J. J. Makela

7.5k total citations · 1 hit paper
160 papers, 5.6k citations indexed

About

J. J. Makela is a scholar working on Astronomy and Astrophysics, Geophysics and Aerospace Engineering. According to data from OpenAlex, J. J. Makela has authored 160 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 150 papers in Astronomy and Astrophysics, 57 papers in Geophysics and 46 papers in Aerospace Engineering. Recurrent topics in J. J. Makela's work include Ionosphere and magnetosphere dynamics (147 papers), Solar and Space Plasma Dynamics (73 papers) and Earthquake Detection and Analysis (54 papers). J. J. Makela is often cited by papers focused on Ionosphere and magnetosphere dynamics (147 papers), Solar and Space Plasma Dynamics (73 papers) and Earthquake Detection and Analysis (54 papers). J. J. Makela collaborates with scholars based in United States, Brazil and France. J. J. Makela's co-authors include M. C. Kelley, J. W. Meriwether, Brian J. Harding, M. J. Nicolls, E. S. Miller, B. M. Ledvina, Jorge L. Chau, P. M. Kintner, D. P. Drob and J. D. Huba and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and Geophysical Research Letters.

In The Last Decade

J. J. Makela

156 papers receiving 5.5k citations

Hit Papers

An update to the Horizontal Wind Model (HWM): The quiet t... 2015 2026 2018 2022 2015 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
J. J. Makela United States 42 5.0k 2.2k 1.7k 1.2k 997 160 5.6k
A. J. Ridley United States 51 8.6k 1.7× 2.3k 1.0× 1.4k 0.8× 1.3k 1.1× 4.1k 4.1× 337 10.0k
J. D. Huba United States 47 6.6k 1.3× 2.2k 1.0× 1.3k 0.8× 620 0.5× 1.4k 1.4× 270 7.5k
P. M. Kintner United States 49 6.9k 1.4× 2.3k 1.0× 2.4k 1.4× 308 0.3× 1.1k 1.1× 198 7.6k
D. P. Drob United States 37 5.1k 1.0× 2.7k 1.2× 1.2k 0.7× 2.1k 1.8× 839 0.8× 117 6.8k
Cathryn N. Mitchell United Kingdom 29 2.5k 0.5× 1.4k 0.6× 1.7k 1.0× 191 0.2× 635 0.6× 146 3.1k
J. M. Picone United States 25 4.1k 0.8× 1.2k 0.5× 1.2k 0.7× 1.4k 1.2× 600 0.6× 72 5.1k
J. J. Sojka United States 37 5.2k 1.0× 1.9k 0.8× 1.6k 1.0× 522 0.5× 1.6k 1.6× 249 5.5k
Manuel Hernández Pajares Spain 37 4.9k 1.0× 2.2k 1.0× 4.2k 2.4× 219 0.2× 764 0.8× 198 5.9k
Jiuhou Lei China 45 6.6k 1.3× 3.1k 1.4× 2.0k 1.2× 923 0.8× 2.1k 2.1× 286 7.0k
L. J. Paxton United States 46 7.5k 1.5× 2.4k 1.1× 1.7k 1.0× 2.0k 1.8× 2.1k 2.1× 288 7.9k

Countries citing papers authored by J. J. Makela

Since Specialization
Citations

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

Fields of papers citing papers by J. J. Makela

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. J. Makela

This figure shows the co-authorship network connecting the top 25 collaborators of J. J. Makela. A scholar is included among the top collaborators of J. J. Makela based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with J. J. Makela. J. J. Makela is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Forbes, J. M., Xiaoli Zhang, Christoph R. Englert, et al.. (2024). Thermosphere UFKW Structures and Ionosphere Coupling as Observed by ICON. Geophysical Research Letters. 51(8). 4 indexed citations
2.
Bhatt, Asti, et al.. (2023). MANGO: An Optical Network to Study the Dynamics of the Earth's Upper Atmosphere. Journal of Geophysical Research Space Physics. 128(10). 4 indexed citations
3.
Dhadly, Manbharat, Fabrizio Sassi, J. T. Emmert, et al.. (2023). Neutral Winds from Mesosphere to Thermosphere — Past, Present, and Future Outlook. 1 indexed citations
4.
Makela, J. J., J. M. Forbes, Brian J. Harding, et al.. (2023). Non‐Migrating Structures in the Northern Midlatitude Thermosphere During December Solstice Using ICON/MIGHTI and FPI Observations. Journal of Geophysical Research Space Physics. 128(9).
6.
Bhatt, Asti, Steven A. Cummer, Stephen D. Eckermann, et al.. (2023). Multi‐Layer Evolution of Acoustic‐Gravity Waves and Ionospheric Disturbances Over the United States After the 2022 Hunga Tonga Volcano Eruption. SHILAP Revista de lepidopterología. 4(6). 6 indexed citations
8.
McWilliams, K. A., Robert Kerr, J. J. Makela, et al.. (2022). Mid-latitude neutral wind responses to sub-auroral polarization streams. Annales Geophysicae. 40(5). 571–583. 4 indexed citations
9.
Cullens, Chihoko, S. England, T. J. Immel, et al.. (2022). Seasonal Variations of Medium‐Scale Waves Observed by ICON‐MIGHTI. Geophysical Research Letters. 49(17). 8 indexed citations
10.
Okoh, Daniel, et al.. (2022). Thermospheric Neutral Wind Measurements and Investigations across the African Region—A Review. Atmosphere. 13(6). 863–863. 6 indexed citations
11.
Harding, Brian J., Jorge L. Chau, Maosheng He, et al.. (2021). Validation of ICON‐MIGHTI Thermospheric Wind Observations: 2. Green‐Line Comparisons to Specular Meteor Radars. Journal of Geophysical Research Space Physics. 126(3). 57 indexed citations
12.
Immel, T. J., Brian J. Harding, R. A. Heelis, et al.. (2021). Regulation of ionospheric plasma velocities by thermospheric winds. Nature Geoscience. 14(12). 893–898. 37 indexed citations
13.
Paulino, Igo, C. A. O. B. Figueiredo, F. S. Rodrigues, et al.. (2020). Atmospheric Gravity Waves Observed in the Nightglow Following the 21 August 2017 Total Solar Eclipse. Geophysical Research Letters. 47(17). 15 indexed citations
14.
Dhadly, Manbharat, J. T. Emmert, D. P. Drob, et al.. (2019). HL‐TWiM Empirical Model of High‐Latitude Upper Thermospheric Winds. Journal of Geophysical Research Space Physics. 124(12). 10592–10618. 15 indexed citations
15.
Paulino, Igo, C. M. Wrasse, R. A. Buriti, et al.. (2018). Intrinsic parameters of periodic waves observed in the OI6300 airglow layer over the Brazilian equatorial region. Annales Geophysicae. 36(1). 265–273. 18 indexed citations
16.
Dhadly, Manbharat, J. T. Emmert, D. P. Drob, et al.. (2017). Seasonal dependence of northern high‐latitude upper thermospheric winds: A quiet time climatological study based on ground‐based and space‐based measurements. Journal of Geophysical Research Space Physics. 122(2). 2619–2644. 31 indexed citations
17.
Dhadly, Manbharat, J. T. Emmert, D. P. Drob, et al.. (2017). Seasonal Dependence of Geomagnetic Active‐Time Northern High‐Latitude Upper Thermospheric Winds. Journal of Geophysical Research Space Physics. 123(1). 739–754. 29 indexed citations
18.
Chartier, Alex T., J. J. Makela, Hanli Liu, G. S. Bust, & J. Noto. (2015). Modeled and observed equatorial thermospheric winds and temperatures. Journal of Geophysical Research Space Physics. 120(7). 5832–5844. 10 indexed citations
19.
Makela, J. J., A. J. Ridley, D. L. Hampton, et al.. (2014). Observations of the storm time response of the mid-latitude thermosphere made by a network of Fabry-Perot interferometers. 40. 1 indexed citations
20.
Makela, J. J., et al.. (2009). The Remote Equatorial Nighttime Observatory of Ionospheric Regions Project and the International Heliospherical Year. Earth Moon and Planets. 104(1-4). 211–226. 33 indexed citations

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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