U. Pechinger

424 total citations
9 papers, 28 citations indexed

About

U. Pechinger is a scholar working on Environmental Engineering, Atmospheric Science and Global and Planetary Change. According to data from OpenAlex, U. Pechinger has authored 9 papers receiving a total of 28 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Environmental Engineering, 6 papers in Atmospheric Science and 3 papers in Global and Planetary Change. Recurrent topics in U. Pechinger's work include Wind and Air Flow Studies (6 papers), Air Quality Monitoring and Forecasting (4 papers) and Meteorological Phenomena and Simulations (3 papers). U. Pechinger is often cited by papers focused on Wind and Air Flow Studies (6 papers), Air Quality Monitoring and Forecasting (4 papers) and Meteorological Phenomena and Simulations (3 papers). U. Pechinger collaborates with scholars based in Austria. U. Pechinger's co-authors include Erwin Petz, Kathrin Baumann, Matthias Langer, Martin Piringer, S. Vogt, Petra Seibert, Robert L. Street, Robert N. Miller, Robert Bornstein and F. L. Ludwig and has published in prestigious journals such as Agricultural and Forest Meteorology, Meteorologische Zeitschrift and Atmospheric Environment (1967).

In The Last Decade

U. Pechinger

8 papers receiving 26 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
U. Pechinger Austria	3	19	18	11	6	4	9	28
U. Daemmgen United Kingdom	3	16 0.8×	15 0.8×	6 0.5×	6 1.0×	3 0.8×	4	38
N. O. Jensen Denmark	3	14 0.7×	20 1.1×	10 0.9×	3 0.5×	2 0.5×	5	37
Víctor Magaña Rueda Mexico	5	14 0.7×	20 1.1×	16 1.5×	15 2.5×	4 1.0×	7	53
Constantina Rousogenous Cyprus	2	21 1.1×	25 1.4×	11 1.0×	13 2.2×	3 0.8×	2	35
R. Hendershot United States	2	13 0.7×	36 2.0×	9 0.8×	22 3.7×	5 1.3×	3	51
C. Garland United States	3	28 1.5×	45 2.5×	8 0.7×	17 2.8×	3 0.8×	3	56
K.-H. Enderle Germany	2	40 2.1×	60 3.3×	12 1.1×	16 2.7×	2 0.5×	5	71
Manuel Dall ́Osto Spain	3	24 1.3×	37 2.1×	6 0.5×	17 2.8×	3 0.8×	3	38
Georgios Tsagkogeorgas Germany	2	22 1.2×	30 1.7×	4 0.4×	12 2.0×	2 0.5×	2	33

Countries citing papers authored by U. Pechinger

Since Specialization

Citations

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

Fields of papers citing papers by U. Pechinger

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of U. Pechinger

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

All Works

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9 of 9 papers shown

Pechinger, U. & Erwin Petz. (2014). Model evaluation of the Austrian Gaussian plume model ON M 9440: comparison with the Kincaid dataset. International Journal of Environment and Pollution. 2 indexed citations

Pechinger, U. & Erwin Petz. (2014). Model evaluation of the Austrian Gaussian plume model ON M 9440: comparison with the Copenhagen and the Lillestrom datasets.. International Journal of Environment and Pollution. 3 indexed citations

Piringer, Martin, Kathrin Baumann, U. Pechinger, & S. Vogt. (2001). Meteorological and ozone sounding experience during a strong foehn event a MAP case study. Meteorologische Zeitschrift. 10(6). 445–455. 9 indexed citations

Pechinger, U., Matthias Langer, Kathrin Baumann, & Erwin Petz. (2001). The austrian emergency response modelling system TAMOS. Physics and Chemistry of the Earth Part B Hydrology Oceans and Atmosphere. 26(2). 99–103. 7 indexed citations

Pechinger, U., et al.. (1999). Comparison of synoptic-based preprocessor estimates. Agricultural and Forest Meteorology. 98-99. 509–519. 2 indexed citations

Pechinger, U. & Petra Seibert. (1990). Observations and simulations with linked numerical PBL and air pollution models and a Gaussian model under low wind speed conditions: a case study of the urban-industrial Linz area. Il Nuovo Cimento C. 13(6). 903–915. 1 indexed citations

Bornstein, Robert, et al.. (1987). Modeling the polluted coastal urban environment: Volume 2, The dispersion model: Final report. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 2017(155). 5–7. 1 indexed citations

Bornstein, Robert, et al.. (1987). Modeling the polluted coastal urban environment: Volume 1, The PBL (planetary boundary level) model: Final report. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1 indexed citations

Pechinger, U., et al.. (1982). Observations of carbon monoxide concentrations in the vicinity of a multi-story urban garage with a single roof level source. Atmospheric Environment (1967). 16(11). 2625–2630. 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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