D. J. Pawlowski

1.2k total citations
30 papers, 626 citations indexed

About

D. J. Pawlowski is a scholar working on Astronomy and Astrophysics, Physiology and Aerospace Engineering. According to data from OpenAlex, D. J. Pawlowski has authored 30 papers receiving a total of 626 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Astronomy and Astrophysics, 4 papers in Physiology and 3 papers in Aerospace Engineering. Recurrent topics in D. J. Pawlowski's work include Planetary Science and Exploration (23 papers), Astro and Planetary Science (17 papers) and Space Science and Extraterrestrial Life (12 papers). D. J. Pawlowski is often cited by papers focused on Planetary Science and Exploration (23 papers), Astro and Planetary Science (17 papers) and Space Science and Extraterrestrial Life (12 papers). D. J. Pawlowski collaborates with scholars based in United States, France and Spain. D. J. Pawlowski's co-authors include A. J. Ridley, S. W. Bougher, J. R. Murphy, S. M. Nelli, J. M. Bell, M. Benna, Yuni Lee, Chuanfei Dong, Yingjuan Ma and F. G. Eparvier and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Geophysical Research Letters and Radio Science.

In The Last Decade

D. J. Pawlowski

27 papers receiving 612 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. J. Pawlowski United States 15 618 83 53 46 43 30 626
Kaori Terada Japan 7 329 0.5× 47 0.6× 62 1.2× 60 1.3× 40 0.9× 13 331
Majd Mayyasi United States 17 777 1.3× 119 1.4× 50 0.9× 20 0.4× 7 0.2× 49 790
Z. Girazian United States 13 470 0.8× 38 0.5× 24 0.5× 31 0.7× 10 0.2× 30 475
C. Narvaez United States 13 369 0.6× 35 0.4× 18 0.3× 53 1.2× 45 1.0× 21 372
M. Angelats i Coll France 9 556 0.9× 76 0.9× 186 3.5× 25 0.5× 13 0.3× 17 574
S. M. Nelli United States 8 394 0.6× 76 0.9× 45 0.8× 14 0.3× 9 0.2× 17 407
Robin Ramstad United States 17 771 1.2× 41 0.5× 24 0.5× 77 1.7× 6 0.1× 46 786
C. Lee United Kingdom 7 287 0.5× 51 0.6× 65 1.2× 25 0.5× 9 0.2× 8 313
M. Torii Japan 6 380 0.6× 89 1.1× 76 1.4× 19 0.4× 24 0.6× 22 418
Indu R. Patel United States 10 416 0.7× 72 0.9× 80 1.5× 32 0.7× 10 0.2× 10 440

Countries citing papers authored by D. J. Pawlowski

Since Specialization
Citations

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

Fields of papers citing papers by D. J. Pawlowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. J. Pawlowski

This figure shows the co-authorship network connecting the top 25 collaborators of D. J. Pawlowski. A scholar is included among the top collaborators of D. J. Pawlowski 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 D. J. Pawlowski. D. J. Pawlowski 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.
2.
Lillis, R. J., D. J. Pawlowski, Jean‐Yves Chaufray, et al.. (2025). Simulating Impacts of Electron Precipitation on Mars' Nightside Ionosphere With an Empirical Model. Journal of Geophysical Research Planets. 130(4).
3.
Fang, Xiaohua, et al.. (2024). Solar Flare Effects in the Martian Ionosphere and Magnetosphere: 3‐D Time‐Dependent MHD‐MGITM Simulation and Comparison With MAVEN and MGS. Journal of Geophysical Research Space Physics. 129(10). 3 indexed citations
4.
Fang, Xiaohua, Yingjuan Ma, Yuni Lee, et al.. (2019). Mars Dust Storm Effects in the Ionosphere and Magnetosphere and Implications for Atmospheric Carbon Loss. Journal of Geophysical Research Space Physics. 125(3). 36 indexed citations
5.
Fang, Xiaohua, D. J. Pawlowski, Yingjuan Ma, et al.. (2019). Mars Upper Atmospheric Responses to the 10 September 2017 Solar Flare: A Global, Time‐Dependent Simulation. Geophysical Research Letters. 46(16). 9334–9343. 21 indexed citations
6.
Roeten, K., S. W. Bougher, M. Benna, et al.. (2019). MAVEN/NGIMS Thermospheric Neutral Wind Observations: Interpretation Using the M‐GITM General Circulation Model. Journal of Geophysical Research Planets. 124(12). 3283–3303. 21 indexed citations
7.
Xu, Shaosui, E. Thiemann, D. L. Mitchell, et al.. (2018). Observations and Modeling of the Mars Low‐Altitude Ionospheric Response to the 10 September 2017 X‐Class Solar Flare. Geophysical Research Letters. 45(15). 7382–7390. 37 indexed citations
8.
Mahaffy, P. R., M. Benna, S. W. Bougher, et al.. (2018). Variability of the Martian Ionospheric Peak and Hot O Corona - Observations and Simulation. AGU Fall Meeting Abstracts. 2018. 1 indexed citations
9.
Thiemann, E., L. Andersson, R. J. Lillis, et al.. (2018). The Mars Topside Ionosphere Response to the X8.2 Solar Flare of 10 September 2017. Geophysical Research Letters. 45(16). 8005–8013. 42 indexed citations
10.
Lee, Yuni, Chuanfei Dong, D. J. Pawlowski, et al.. (2018). Effects of a Solar Flare on the Martian Hot O Corona and Photochemical Escape. Geophysical Research Letters. 45(14). 6814–6822. 25 indexed citations
11.
Dong, Chuanfei, S. W. Bougher, Yingjuan Ma, et al.. (2018). Solar Wind Interaction With the Martian Upper Atmosphere: Roles of the Cold Thermosphere and Hot Oxygen Corona. Journal of Geophysical Research Space Physics. 123(8). 6639–6654. 14 indexed citations
12.
Dong, Chuanfei, S. W. Bougher, Yingjuan Ma, et al.. (2015). Solar wind interaction with the Martian upper atmosphere: Crustal field orientation, solar cycle, and seasonal variations. Journal of Geophysical Research Space Physics. 120(9). 7857–7872. 52 indexed citations
13.
Dong, Chuanfei, S. W. Bougher, Yingjuan Ma, et al.. (2014). Solar Wind Interaction with the Martian Upper Atmosphere at Early Mars/Extreme Solar Conditions. AGUFM. 2014. 1 indexed citations
14.
Lee, Yuni, et al.. (2014). Impacts of the Martian crustal magnetic fields on the thermosphere, ionosphere, and hot oxygen corona. DPS.
15.
Pawlowski, D. J., S. W. Bougher, A. J. Ridley, & J. R. Murphy. (2012). Modeling the Martian Upper Atmosphere Using the Mars Global Ionosphere-Thermosphere Model. AGUFM. 2012. 1 indexed citations
16.
Pawlowski, D. J. & S. W. Bougher. (2012). Comparative Aeronomy: The Effects of Solar Flares at Earth and Mars. LPICo. 1675. 8086. 1 indexed citations
17.
Pawlowski, D. J., S. W. Bougher, & Phillip C. Chamberlin. (2011). Modeling the Response of the Martian Upper Atmosphere to Solar Flares. AGUFM. 2011. 2 indexed citations
18.
Bougher, S. W., et al.. (2011). Development and Validation of the Ground-To-Exosphere Mars GITM Code: Solar Cycle and Seasonal Variations of the Upper atmosphere. 379–381. 3 indexed citations
19.
Bougher, S. W., D. J. Pawlowski, & J. R. Murphy. (2011). Toward an Understanding of the Time Dependent Responses of the Martian Upper Atmosphere to Dust Storm Events. AGUFM. 2011. 2 indexed citations
20.
Pawlowski, D. J., et al.. (2008). Localized data assimilation in the ionosphere-thermosphere using a sampled-data unscented Kalman filter. 1849–1854. 3 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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