A. Ruggaber

1.0k total citations
11 papers, 573 citations indexed

About

A. Ruggaber is a scholar working on Global and Planetary Change, Atmospheric Science and Health, Toxicology and Mutagenesis. According to data from OpenAlex, A. Ruggaber has authored 11 papers receiving a total of 573 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Global and Planetary Change, 10 papers in Atmospheric Science and 1 paper in Health, Toxicology and Mutagenesis. Recurrent topics in A. Ruggaber's work include Atmospheric aerosols and clouds (9 papers), Atmospheric chemistry and aerosols (9 papers) and Atmospheric Ozone and Climate (9 papers). A. Ruggaber is often cited by papers focused on Atmospheric aerosols and clouds (9 papers), Atmospheric chemistry and aerosols (9 papers) and Atmospheric Ozone and Climate (9 papers). A. Ruggaber collaborates with scholars based in Germany, Japan and Belgium. A. Ruggaber's co-authors include R. Dlugi, Takashi Y. Nakajima, Peter Koepke, Harry Schwander, Renate Forkel, Stephan Mertes, Manfred Wendisch, Bernhard Mayer, Günther Seckmeyer and H. Hass and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Atmospheric Environment and Journal of Atmospheric Chemistry.

In The Last Decade

A. Ruggaber

11 papers receiving 494 citations

Peers

A. Ruggaber

AS

GPC

OCEAN

HTM

EE

T. Nakajima Japan

P. Chamard Italy

Tove Svendby Norway

Salvatore Piacentino Italy

Jay P. Hoffman United States

Marjolaine Chiriaco France

Brad Weir United States

Zhanshan Ma China

Inge Bischoff-Gauß Germany

A. Dethof United Kingdom

T. Nakajima Japan

A. Ruggaber

388 ×0.8

AS

425 ×1.0

GPC

40 ×0.5

OCEAN

38 ×0.7

HTM

56 ×1.1

EE

Citations per year, relative to A. Ruggaber A. Ruggaber (= 1×) peers T. Nakajima

Countries citing papers authored by A. Ruggaber

Since Specialization

Citations

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

Fields of papers citing papers by A. Ruggaber

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Ruggaber

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

All Works

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11 of 11 papers shown

1.

Schwander, Harry, Anton Kaifel, A. Ruggaber, & Peter Koepke. (2001). Spectral radiative-transfer modeling with minimized computation time by use of a neural-network technique. Applied Optics. 40(3). 331–331. 21 indexed citations

2.

Weele, Michiel van, Timothy Martin, M. Blumthaler, et al.. (2000). From model intercomparison toward benchmark UV spectra for six real atmospheric cases. Journal of Geophysical Research Atmospheres. 105(D4). 4915–4925. 69 indexed citations

3.

Schwander, Harry, Bernhard Mayer, A. Ruggaber, et al.. (1999). Method to determine snow albedo values in the ultraviolet for radiative transfer modeling. Applied Optics. 38(18). 3869–3869. 35 indexed citations

4.

Schwander, Harry, Peter Koepke, & A. Ruggaber. (1997). Uncertainties in modeled UV irradiances due to limited accuracy and availability of input data. Journal of Geophysical Research Atmospheres. 102(D8). 9419–9429. 84 indexed citations

5.

Ruggaber, A., R. Dlugi, Andreas Bott, et al.. (1997). Modelling of radiation quantities and photolysis frequencies in the aqueous phase in the troposphere. Atmospheric Environment. 31(19). 3137–3150. 27 indexed citations

6.

Wendisch, Manfred, Stephan Mertes, A. Ruggaber, & Takashi Y. Nakajima. (1996). Vertical Profiles of Aerosol and Radiation and the Influence of a Temperature Inversion: Measurements and Radiative Transfer Calculations. Journal of Applied Meteorology. 35(10). 1703–1715. 43 indexed citations

7.

Forkel, Renate, W. Seidl, A. Ruggaber, & R. Dlugi. (1995). Fog chemistry during EUMAC Joint Cases: Analysis of routine measurements in southern Germany and model calculations. Meteorology and Atmospheric Physics. 57(1-4). 61–86. 5 indexed citations

8.

Hass, H. & A. Ruggaber. (1995). Comparison of two algorithms for calculating photolysis frequencies including the effects of clouds. Meteorology and Atmospheric Physics. 57(1-4). 87–100. 4 indexed citations

9.

Ruggaber, A., R. Dlugi, & Takashi Y. Nakajima. (1994). Modelling radiation quantities and photolysis frequencies in the troposphere. Journal of Atmospheric Chemistry. 18(2). 171–210. 200 indexed citations

10.

Ruggaber, A., Renate Forkel, & R. Dlugi. (1993). Spectral actinic flux and its ratio to spectral irradiance by radiation transfer calculations. Journal of Geophysical Research Atmospheres. 98(D1). 1151–1162. 41 indexed citations

11.

Ruggaber, A., Renate Forkel, W. Seidl, et al.. (1970). Modelling Of Radiation Quantities And PhotolysisFrequencies In The Troposphere. WIT Transactions on Ecology and the Environment. 12. 44 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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