Helmut Schiller

1.5k citations

23 papers · 1.2k indexed · h-index 10

Impact in

Oceanography top 1%
- Marine and coastal ecosystems
- Oceanographic and Atmospheric Processes
- Ocean Waves and Remote Sensing
Industrial and Manufacturing Engineering top 2%
- Water Quality Monitoring and Analysis

Papers in

Oceanography 14
- Marine and coastal ecosystems 9
- Oceanographic and Atmospheric Processes 6
- Ocean Waves and Remote Sensing 3
Industrial and Manufacturing Engineering 9
- Water Quality Monitoring and Analysis 9

Co-authors: R. Doerffer Vladimir M. Krasnopolsky Susanne Lehner Jochen Horstmann Johannes Schulz‐Stellenfleth Motoaki Kishino Tomohiko Oishi Akihiko Tanaka
Journals: Environmental Monitoring and Assessment (2 papers)International Journal of Remote Sensing (2 papers)Neural Networks (2 papers)IEEE Transactions on Geoscience and Remote Sensing (2 papers)Journal of Oceanography (1 paper)
Partner nations: Germany Japan United States

In The Last Decade

Helmut Schiller

23 papers receiving 1.1k citations

Peers

Countries citing papers authored by Helmut Schiller

Since Specialization

Citations

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

Fields of papers citing papers by Helmut Schiller

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 13 scholars most cited alongside Helmut Schiller, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Helmut Schiller Line = papers co-authored together Helmut Schiller links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Neural network parameterisation of the mapping of wave spectra onto nonlinear four-wave interactions Ocean Modelling ·C. Vázquez, Heinz Günther, Helmut Schiller	2009	6
2	Algorithm Theoretical Basis Document (ATBD) MERIS Regional Coastal and Lake Case 2 Water Project Atmospheric Correction ATBD R. Doerffer, Helmut Schiller	2008	38
3	Algorithm Theoretical Basis Document (ATBD) R. Doerffer, Helmut Schiller	2008	81
4	Model inversion by parameter fit using NN emulating the forward model — Evaluation of indirect measurements Neural Networks ·Helmut Schiller	2007	6
5	Lake Water Algorithm for BEAM R. Doerffer, Helmut Schiller	2007	1
6	Novelty Detection – Recognition and Evaluation of Exceptional Water Reflectance Spectra Environmental Monitoring and Assessment ·Helmut Schiller, W. Schönfeld, Hajo Krasemann, 백삼현	2007	2
7	The MERIS Case 2 water algorithm International Journal of Remote Sensing ·R. Doerffer, Helmut Schiller	2007	433
8	Model Inversion by Parameter Fit Using NN Emulating the Forward Model &#8211; Evaluation of Indirect Measurements The 2006 IEEE International Joint Conference on Neural Network Proceedings ·Helmut Schiller	2006	3
9	Automated Classification of an Environmental Sensitivity Index Environmental Monitoring and Assessment ·Helmut Schiller, Dung Nguyen, Hajo Krasemann	2005	5
10	Improved determination of coastal water constituent concentrations from MERIS data IEEE Transactions on Geoscience and Remote Sensing ·Helmut Schiller, R. Doerffer	2005	51
11	Development of a Neural Network Algorithm for Retrieving Concentrations of Chlorophyll, Suspended Matter and Yellow Substance from Radiance Data of the Ocean Color and Temperature Scanner Journal of Oceanography ·Akihiko Tanaka, Motoaki Kishino, R. Doerffer, Helmut Schiller, Tomohiko Oishi, Hana Hoffmeisterová	2004	60
12	MERIS Case 2 Water Validation Early Results North Sea / Helgoland /German Bight ESA Special Publication ·R. Doerffer, Helmut Schiller, Hajo Krasemann, K. Sumathy, 关旭明, W. Schönfeld, Rüdiger Röttgers, Muhammad Azam Kholilurrohman, Peter Kipp	2003	2
13	Some neural network applications in environmental sciences. Part I: forward and inverse problems in geophysical remote measurements Neural Networks ·Vladimir M. Krasnopolsky, Helmut Schiller	2003	100
14	Global wind speed retrieval from sar IEEE Transactions on Geoscience and Remote Sensing ·Jochen Horstmann, Helmut Schiller, Johannes Schulz‐Stellenfleth, Susanne Lehner	2003	123
15	Determination of the bulk temperature from NOAA/AVHRR satellite data in a midlatitude lake International Journal of Applied Earth Observation and Geoinformation ·Rina Knoeff, Helmut Schiller	2003	13
16	Global wind speed retrieval from complex SAR data using scatterometer models and neural networks Jochen Horstmann, Susanne Lehner, Helmut Schiller	2002	8
17	<title>Temporal and spatial variability of chlorophyll a, suspended solids, and yellow substance in the Yellow Sea and East China Sea using ocean color sensor</title> Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·Motoaki Kishino, Akihiko Tanaka, Tomohiko Oishi, R. Doerffer, Helmut Schiller	2001	1
18	<title>Application of neural network method to case II water</title> Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·Akihiko Tanaka, Motoaki Kishino, Tomohiko Oishi, R. Doerffer, Helmut Schiller	2000	7
19	<title>Inverse modeling for retrieval of ocean color parameters in Case II coastal waters: an analysis of the minimum error</title> Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·R. Doerffer, Helmut Schiller	1994	3
20	Fast computational scheme for inverse modeling of multispectral radiances: application for remote sensing of the ocean Applied Optics ·Helmut Schiller, R. Doerffer	1993	16

About Helmut Schiller

Helmut Schiller is a scholar working on Oceanography, Industrial and Manufacturing Engineering, Environmental Engineering, Atmospheric Science and Water Science and Technology, having authored 23 papers that have together received 1.2k indexed citations. Recurring topics across this work include Marine and coastal ecosystems (9 papers), Water Quality Monitoring and Analysis (9 papers), Oceanographic and Atmospheric Processes (6 papers), Neural Networks and Applications (4 papers), Air Quality Monitoring and Forecasting (3 papers), Water Quality Monitoring Technologies (3 papers), Ocean Waves and Remote Sensing (3 papers) and Hydrological Forecasting Using AI (2 papers). The work is most often cited by research in Oceanography (872 citations), Industrial and Manufacturing Engineering (367 citations), Water Science and Technology (289 citations), Environmental Engineering (198 citations) and Atmospheric Science (247 citations). Helmut Schiller has collaborated with scholars based in Germany, Japan and United States. Frequent co-authors include R. Doerffer, Vladimir M. Krasnopolsky, Susanne Lehner, Jochen Horstmann, Johannes Schulz‐Stellenfleth, Motoaki Kishino, Tomohiko Oishi, Akihiko Tanaka, Hajo Krasemann and Heinz Günther. Their work appears in journals such as Environmental Monitoring and Assessment, International Journal of Remote Sensing, Neural Networks, IEEE Transactions on Geoscience and Remote Sensing and Journal of Oceanography.

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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