T. Dinter

787 total citations
18 papers, 504 citations indexed

About

T. Dinter is a scholar working on Global and Planetary Change, Oceanography and Atmospheric Science. According to data from OpenAlex, T. Dinter has authored 18 papers receiving a total of 504 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Global and Planetary Change, 10 papers in Oceanography and 10 papers in Atmospheric Science. Recurrent topics in T. Dinter's work include Marine and coastal ecosystems (10 papers), Atmospheric Ozone and Climate (10 papers) and Atmospheric and Environmental Gas Dynamics (8 papers). T. Dinter is often cited by papers focused on Marine and coastal ecosystems (10 papers), Atmospheric Ozone and Climate (10 papers) and Atmospheric and Environmental Gas Dynamics (8 papers). T. Dinter collaborates with scholars based in Germany, United Kingdom and Morocco. T. Dinter's co-authors include Astrid Bracher, John P. Burrows, Marco Vountas, Rüdiger Röttgers, Ilka Peeken, Bettina B Taylor, В. В. Розанов, Mariana Altenburg Soppa, W. von Hoyningen‐Huene and Alexander Kokhanovsky and has published in prestigious journals such as Remote Sensing of Environment, Atmospheric chemistry and physics and Biogeosciences.

In The Last Decade

T. Dinter

18 papers receiving 488 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
T. Dinter Germany 13 303 249 204 152 67 18 504
Christopher Kuchinke Australia 8 212 0.7× 188 0.8× 105 0.5× 102 0.7× 60 0.9× 13 359
Clémence Goyens Belgium 10 231 0.8× 185 0.7× 102 0.5× 91 0.6× 79 1.2× 20 393
Hak-Soo Lim South Korea 6 237 0.8× 115 0.5× 87 0.4× 79 0.5× 28 0.4× 15 333
C. Swan United States 7 578 1.9× 145 0.6× 85 0.4× 218 1.4× 58 0.9× 8 615
Mariana Altenburg Soppa Germany 12 384 1.3× 103 0.4× 81 0.4× 182 1.2× 69 1.0× 22 465
Hisashi Yamaguchi Japan 5 449 1.5× 175 0.7× 63 0.3× 105 0.7× 60 0.9× 8 497
B. E. Fabbri United States 3 279 0.9× 169 0.7× 96 0.5× 72 0.5× 74 1.1× 5 337
Tilman Dinter Germany 12 159 0.5× 292 1.2× 314 1.5× 74 0.5× 23 0.3× 26 468
Harilal B. Menon India 11 269 0.9× 122 0.5× 133 0.7× 55 0.4× 52 0.8× 28 359
Alison Chase United States 12 443 1.5× 120 0.5× 58 0.3× 208 1.4× 89 1.3× 16 510

Countries citing papers authored by T. Dinter

Since Specialization
Citations

This map shows the geographic impact of T. Dinter'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 T. Dinter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Dinter more than expected).

Fields of papers citing papers by T. Dinter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Dinter

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

All Works

18 of 18 papers shown
1.
Розанов, В. В., T. Dinter, Alexei Rozanov, et al.. (2017). Radiative transfer modeling through terrestrial atmosphere and ocean accounting for inelastic processes: Software package SCIATRAN. Journal of Quantitative Spectroscopy and Radiative Transfer. 194. 65–85. 36 indexed citations
2.
Bracher, Astrid, Marc H Taylor, Bettina B Taylor, et al.. (2015). Using empirical orthogonal functions derived from remote-sensing reflectance for the prediction of phytoplankton pigment concentrations. Ocean science. 11(1). 139–158. 53 indexed citations
3.
Dinter, T., В. В. Розанов, John P. Burrows, & Astrid Bracher. (2015). Retrieving the availability of light in the ocean utilising spectral signatures of vibrational Raman scattering in hyper-spectral satellite measurements. Ocean science. 11(3). 373–389. 12 indexed citations
4.
Wolanin, Aleksandra, В. В. Розанов, T. Dinter, et al.. (2015). Global retrieval of marine and terrestrial chlorophyll fluorescence at its red peak using hyperspectral top of atmosphere radiance measurements: Feasibility study and first results. Remote Sensing of Environment. 166. 243–261. 49 indexed citations
5.
Bracher, Astrid, Marc H Taylor, Bettina B Taylor, et al.. (2014). Using empirical orthogonal functions derived from remote sensing reflectance for the prediction of concentrations of phytoplankton pigments. Helmholtz-Zentrum für Polar-und Meeresforschung (Alfred-Wegener-Institut). 2 indexed citations
6.
Soppa, Mariana Altenburg, T. Dinter, Bettina B Taylor, & Astrid Bracher. (2013). Satellite derived euphotic depth in the Southern Ocean: Implications for primary production modelling. Remote Sensing of Environment. 137. 198–211. 14 indexed citations
7.
Sadeghi, Alireza, T. Dinter, Marco Vountas, et al.. (2012). Improvement to the PhytoDOAS method for identification of coccolithophores using hyper-spectral satellite data. Ocean science. 8(6). 1055–1070. 34 indexed citations
8.
Sadeghi, Alireza, T. Dinter, Marco Vountas, et al.. (2012). Remote sensing of coccolithophore blooms in selected oceanic regions using the PhytoDOAS method applied to hyper-spectral satellite data. Biogeosciences. 9(6). 2127–2143. 39 indexed citations
9.
Schlundt, Cornelia, Alexander Kokhanovsky, W. von Hoyningen‐Huene, et al.. (2011). Synergetic cloud fraction determination for SCIAMACHY using MERIS. Atmospheric measurement techniques. 4(2). 319–337. 20 indexed citations
10.
Hoyningen‐Huene, W. von, J. Yoon, Marco Vountas, et al.. (2011). Retrieval of spectral aerosol optical thickness over land using ocean color sensors MERIS and SeaWiFS. Atmospheric measurement techniques. 4(2). 151–171. 44 indexed citations
11.
Hoyningen‐Huene, W. von, et al.. (2011). Retrieval of aerosol mass load (PM 10 ) from MERIS/Envisat top of atmosphere spectral reflectance measurements over Germany. Atmospheric measurement techniques. 4(3). 523–534. 15 indexed citations
12.
13.
Bracher, Astrid, Marco Vountas, T. Dinter, et al.. (2009). Quantitative observation of cyanobacteria and diatoms from space using PhytoDOAS on SCIAMACHY data. Biogeosciences. 6(5). 751–764. 128 indexed citations
14.
Lotz, W., Marco Vountas, T. Dinter, & John P. Burrows. (2009). Cloud and surface classification using SCIAMACHY polarization measurement devices. Atmospheric chemistry and physics. 9(4). 1279–1288. 9 indexed citations
15.
Hoyningen‐Huene, W. von, T. Dinter, Alexander Kokhanovsky, et al.. (2009). Measurements of desert dust optical characteristics at Porte au Sahara during SAMUM. Tellus B. 61(1). 206–206. 21 indexed citations
16.
Lotz, W., Marco Vountas, T. Dinter, & John P. Burrows. (2008). Cloud and surface classification using SCIAMACHY polarization measurement devices. 1 indexed citations
17.
Vountas, Marco, T. Dinter, Astrid Bracher, John P. Burrows, & B. Sierk. (2007). Spectral studies of ocean water with space-borne sensor SCIAMACHY using Differential Optical Absorption Spectroscopy (DOAS). Ocean science. 3(3). 429–440. 23 indexed citations
18.
Sierk, B., Astrid Bracher, Andreas Richter, et al.. (2004). DETERMINATION OF PHYTOPLANKTON CONCENTRATIONS FROM SPACE-BORNE SPECTROSCOPIC MEASUREMENTS. Gayana. 68(2). 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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2026