Hannes Schulz

1.1k total citations
16 papers, 425 citations indexed

About

Hannes Schulz is a scholar working on Atmospheric Science, Global and Planetary Change and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Hannes Schulz has authored 16 papers receiving a total of 425 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Atmospheric Science, 11 papers in Global and Planetary Change and 3 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Hannes Schulz's work include Atmospheric chemistry and aerosols (14 papers), Atmospheric Ozone and Climate (11 papers) and Atmospheric aerosols and clouds (6 papers). Hannes Schulz is often cited by papers focused on Atmospheric chemistry and aerosols (14 papers), Atmospheric Ozone and Climate (11 papers) and Atmospheric aerosols and clouds (6 papers). Hannes Schulz collaborates with scholars based in Germany, Canada and United States. Hannes Schulz's co-authors include Andreas Herber, Jonathan P. D. Abbatt, Megan D. Willis, Julia Burkart, W. R. Leaitch, Heiko Bozem, Peter Hoor, Amir A. Aliabadi, Franziska Köllner and Johannes Schneider and has published in prestigious journals such as Geophysical Research Letters, Atmospheric chemistry and physics and Tellus B.

In The Last Decade

Hannes Schulz

16 papers receiving 417 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hannes Schulz Germany 10 416 322 104 34 24 16 425
Franziska Köllner Germany 10 458 1.1× 363 1.1× 102 1.0× 53 1.6× 25 1.0× 20 477
Roy K. Woods United States 14 380 0.9× 303 0.9× 136 1.3× 43 1.3× 22 0.9× 19 422
T. Bates United States 6 488 1.2× 361 1.1× 160 1.5× 37 1.1× 26 1.1× 11 512
Mary M. Kleb United States 6 651 1.6× 528 1.6× 194 1.9× 28 0.8× 30 1.3× 10 665
Hannah Nguyen United States 4 406 1.0× 328 1.0× 183 1.8× 23 0.7× 21 0.9× 5 446
Zitely A. Tzompa‐Sosa United States 7 200 0.5× 177 0.5× 87 0.8× 31 0.9× 15 0.6× 11 266
Patrick Boylan United States 9 232 0.6× 197 0.6× 65 0.6× 36 1.1× 7 0.3× 10 287
L. Ahlm Sweden 12 374 0.9× 288 0.9× 221 2.1× 64 1.9× 51 2.1× 21 436
S. Starkweather United States 6 401 1.0× 343 1.1× 51 0.5× 18 0.5× 7 0.3× 10 423
Nobuhiko Umemoto Japan 5 402 1.0× 199 0.6× 193 1.9× 37 1.1× 27 1.1× 8 419

Countries citing papers authored by Hannes Schulz

Since Specialization
Citations

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

Fields of papers citing papers by Hannes Schulz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hannes Schulz

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

All Works

16 of 16 papers shown
1.
Köllner, Franziska, Johannes Schneider, Megan D. Willis, et al.. (2021). Chemical composition and source attribution of sub-micrometre aerosol particles in the summertime Arctic lower troposphere. Atmospheric chemistry and physics. 21(8). 6509–6539. 7 indexed citations
2.
Leaitch, W. R., John K. Kodros, Megan D. Willis, et al.. (2020). Vertical profiles of light absorption and scattering associated with black carbon particle fractions in the springtime Arctic above 79° N. Atmospheric chemistry and physics. 20(17). 10545–10563. 10 indexed citations
3.
Willis, Megan D., Heiko Bozem, Daniel Kunkel, et al.. (2019). Aircraft-based measurements of High Arctic springtime aerosol show evidence for vertically varying sources, transport and composition. Atmospheric chemistry and physics. 19(1). 57–76. 28 indexed citations
4.
Schulz, Hannes, Marco Zanatta, Heiko Bozem, et al.. (2019). High Arctic aircraft measurements characterising black carbon vertical variability in spring and summer. Atmospheric chemistry and physics. 19(4). 2361–2384. 36 indexed citations
5.
Bozem, Heiko, Peter Hoor, Daniel Kunkel, et al.. (2019). Characterization of transport regimes and the polar dome during Arctic spring and summer using in situ aircraft measurements. Atmospheric chemistry and physics. 19(23). 15049–15071. 31 indexed citations
6.
Zanatta, Marco, Heiko Bozem, Franziska Köllner, et al.. (2019). Airborne survey of trace gases and aerosols over the Southern Baltic Sea: from clean marine boundary layer to shipping corridor effect. Tellus B. 72(1). 1695349–1695349. 9 indexed citations
7.
Kodros, John K., Sarah Hanna, Allan K. Bertram, et al.. (2018). Size-resolved mixing state of black carbon in the Canadian high Arctic and implications for simulated direct radiative effect. Atmospheric chemistry and physics. 18(15). 11345–11361. 31 indexed citations
8.
Schulz, Hannes, Marco Zanatta, Marion Maturilli, et al.. (2018). Spatial and temporal variability of black carbon in snow measured with an SP2 around Ny-Ålesund. EGU General Assembly Conference Abstracts. 16814. 2 indexed citations
9.
Herenz, Paul, Heike Wex, Silvia Henning, et al.. (2018). Measurements of aerosol and CCN properties in the Mackenzie River delta (Canadian Arctic) during spring–summer transition in May 2014. Atmospheric chemistry and physics. 18(7). 4477–4496. 27 indexed citations
10.
Xu, Junwei, Randall V. Martin, Sangeeta Sharma, et al.. (2017). Source attribution of Arctic black carbon constrained by aircraft and surface measurements. Atmospheric chemistry and physics. 17(19). 11971–11989. 56 indexed citations
11.
Willis, Megan D., Franziska Köllner, Julia Burkart, et al.. (2017). Evidence for marine biogenic influence on summertime Arctic aerosol. Geophysical Research Letters. 44(12). 6460–6470. 58 indexed citations
12.
Willis, Megan D., Julia Burkart, Jennie L. Thomas, et al.. (2016). Growth of nucleation mode particles in the summertime Arctic: a case study. Atmospheric chemistry and physics. 16(12). 7663–7679. 97 indexed citations
13.
Libois, Quentin, Liviu Ivănescu, Jean‐Pierre Blanchet, et al.. (2016). Airborne observations of far-infrared upwelling radiance in the Arctic. Atmospheric chemistry and physics. 16(24). 15689–15707. 4 indexed citations
14.
Aliabadi, Amir A., Jennie L. Thomas, Andreas Herber, et al.. (2016). Ship emissions measurement in the Arctic by plume intercepts of the Canadian Coast Guard icebreaker Amundsen from the Polar 6 aircraft platform. Atmospheric chemistry and physics. 16(12). 7899–7916. 26 indexed citations
15.
Willis, Megan D., Julia Burkart, Jennie L. Thomas, et al.. (2016). Biogenic influence on the composition and growth of summertime Arctic aerosol. HAL (Le Centre pour la Communication Scientifique Directe). 2016. 1 indexed citations
16.
Schulz, Hannes, et al.. (1959). THE NATURE OF A PARTICLE OF REMARKABLY HIGH RADIOACTIVITY IN ATMOSPHERIC FALL-OUT. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 2 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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