R. Suleiman

10.1k total citations
35 papers, 727 citations indexed

About

R. Suleiman is a scholar working on Astronomy and Astrophysics, Atmospheric Science and Global and Planetary Change. According to data from OpenAlex, R. Suleiman has authored 35 papers receiving a total of 727 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Astronomy and Astrophysics, 15 papers in Atmospheric Science and 12 papers in Global and Planetary Change. Recurrent topics in R. Suleiman's work include Atmospheric Ozone and Climate (15 papers), Solar and Space Plasma Dynamics (14 papers) and Atmospheric and Environmental Gas Dynamics (11 papers). R. Suleiman is often cited by papers focused on Atmospheric Ozone and Climate (15 papers), Solar and Space Plasma Dynamics (14 papers) and Atmospheric and Environmental Gas Dynamics (11 papers). R. Suleiman collaborates with scholars based in United States, Italy and Germany. R. Suleiman's co-authors include K. Chance, Xiong Liu, J. L. Kohl, A. V. Panasyuk, L. Strachan, Gonzalo González Abad, HUIQUN WANG, Thomas P. Kurosu, D. A. Biesecker and D. E. Flittner and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, The Astrophysical Journal and The Science of The Total Environment.

In The Last Decade

R. Suleiman

33 papers receiving 708 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
R. Suleiman United States	10	413	301	250	135	76	35	727
Marc Allaart Netherlands	14	330 0.8×	291 1.0×	65 0.3×	63 0.5×	46 0.6×	24	449
A. De Rudder Belgium	13	539 1.3×	350 1.2×	180 0.7×	108 0.8×	57 0.8×	19	621
Andréa Pazmiño France	20	793 1.9×	669 2.2×	103 0.4×	73 0.5×	57 0.8×	70	924
Stefan Versick Germany	10	558 1.4×	310 1.0×	279 1.1×	76 0.6×	46 0.6×	14	653
S. K. Midya India	10	280 0.7×	229 0.8×	99 0.4×	38 0.3×	60 0.8×	60	384
Kalyan Bhuyan India	10	321 0.8×	300 1.0×	160 0.6×	97 0.7×	42 0.6×	48	541
Wuke Wang China	14	474 1.1×	420 1.4×	81 0.3×	40 0.3×	38 0.5×	39	524
Ronald Eixmann Germany	10	494 1.2×	482 1.6×	71 0.3×	47 0.3×	28 0.4×	16	589
J. R. Acarreta Netherlands	10	417 1.0×	356 1.2×	101 0.4×	20 0.1×	31 0.4×	22	519
Neelesh K. Lodhi India	8	171 0.4×	170 0.6×	74 0.3×	112 0.8×	102 1.3×	14	331

Countries citing papers authored by R. Suleiman

Since Specialization

Citations

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

Fields of papers citing papers by R. Suleiman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Suleiman

This figure shows the co-authorship network connecting the top 25 collaborators of R. Suleiman. A scholar is included among the top collaborators of R. Suleiman 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 R. Suleiman. R. Suleiman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Hou, Weizhen, Heesung Chong, D. E. Flittner, et al.. (2026). Spectral Calibration for TEMPO (Tropospheric Emissions: Monitoring of Pollution): Algorithm Description and Trending of Spectral Performance. Earth and Space Science. 13(2). 1 indexed citations

2.

Chong, Heesung, D. E. Flittner, James L. Carr, et al.. (2026). Algorithm Theoretical Basis for Version 3 TEMPO Level 0–1 Processor. Earth and Space Science. 13(2). 1 indexed citations

3.

Carr, James L., Heesung Chong, Xiong Liu, et al.. (2025). TEMPO at Night. Earth and Space Science. 12(10). 1 indexed citations

4.

Suleiman, R., K. Chance, Xiong Liu, et al.. (2019). OMI total bromine monoxide (OMBRO) data product: algorithm, retrieval and measurement comparisons. Atmospheric measurement techniques. 12(4). 2067–2084. 5 indexed citations

5.

Choi, Sungyeon, Nicolas Theys, R. J. Salawitch, et al.. (2018). Link Between Arctic Tropospheric BrO Explosion Observed From Space and Sea‐Salt Aerosols From Blowing Snow Investigated Using Ozone Monitoring Instrument BrO Data and GEOS‐5 Data Assimilation System. Journal of Geophysical Research Atmospheres. 123(13). 6954–6983. 21 indexed citations

6.

Nicks, D. K., Brian Baker, Brent P. Canova, et al.. (2017). Remote Sensing of Air Pollution from Geo with GEMS and TEMPO. AGU Fall Meeting Abstracts. 2017. 1 indexed citations

7.

Abad, Gonzalo González, X. Liu, R. Suleiman, Alfonso Saiz‐Lopez, & K. Chance. (2017). SAO OMPS bromine monoxide retrievals. AGU Fall Meeting Abstracts. 2017. 1 indexed citations

8.

Schmidt, Johan A., Daniel J. Jacob, Hannah M. Horowitz, et al.. (2016). Modeling the observed tropospheric BrO background: Importance of multiphase chemistry and implications for ozone, OH, and mercury. Journal of Geophysical Research Atmospheres. 121(19). 108 indexed citations

9.

Abad, Gonzalo González, Xiong Liu, K. Chance, et al.. (2015). Updated Smithsonian Astrophysical Observatory Ozone Monitoring Instrument (SAO OMI) formaldehyde retrieval. Atmospheric measurement techniques. 8(1). 19–32. 137 indexed citations

10.

Popp, C., Brendan McCormick Kilbride, R. Suleiman, et al.. (2015). Analysis of volcanic bromine monoxide emissions in the southwestern Pacific region in 2005 based on satellite observations from OMI. EGUGA. 9837. 1 indexed citations

11.

Abad, Gonzalo González, et al.. (2014). Updated SAO OMI formaldehyde retrieval. 6 indexed citations

12.

Markowicz, Paweł, Jakob Löndahl, Aneta Wierzbicka, et al.. (2014). A study on particles and some microbial markers in waterpipe tobacco smoke. The Science of The Total Environment. 499. 107–113. 30 indexed citations

13.

Suleiman, R., et al.. (2013). OMI BrO measurements: Operational data analysis algorithm and initial validation. AGU Fall Meeting Abstracts. 2013. 1 indexed citations

14.

Chance, K., et al.. (2012). Tropospheric Emissions: Monitoring of Pollution (TEMPO). AGUFM. 2012. 1 indexed citations

15.

Gardner, L. D., P. L. Smith, J. L. Kohl, et al.. (2002). UV Radiometric Calibration of UVCS. Journal of Experimental Botany. 2(11). 161–61. 3 indexed citations

16.

Strachan, L., R. Suleiman, A. V. Panasyuk, D. A. Biesecker, & J. L. Kohl. (2002). Empirical densities, kinetic temperatures, and outflow velocities in the equatorial streamer belt at solar minimum. 200. 1 indexed citations

17.

Ventura, R., D. Spadaro, M. Uzzo, & R. Suleiman. (2002). UV line intensity and flow velocity distributions in two coronal mass ejections as deduced by UVCS-SOHO observations. Astronomy and Astrophysics. 395(3). 975–975. 1 indexed citations

18.

Ventura, R., D. Spadaro, M. Uzzo, & R. Suleiman. (2002). UV line intensity and flow velocity distributions in two coronal mass ejections as deduced by UVCS-SOHO observations. Astronomy and Astrophysics. 383(3). 1032–1048. 3 indexed citations

19.

Raymond, J. C., R. Suleiman, A. A. van Ballegooijen, & J. L. Kohl. (1997). Absolute Abundances in Streamers from UVCS. ESASP. 415. 383. 7 indexed citations

20.

Lockwood, J. A., et al.. (1996). Extended gamma -Ray Emission of the June 1991 Solar Flares. AAS. 188.

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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