Gunter Spöck

458 total citations
19 papers, 307 citations indexed

About

Gunter Spöck is a scholar working on Environmental Engineering, Global and Planetary Change and Statistics and Probability. According to data from OpenAlex, Gunter Spöck has authored 19 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Environmental Engineering, 6 papers in Global and Planetary Change and 5 papers in Statistics and Probability. Recurrent topics in Gunter Spöck's work include Hydrology and Drought Analysis (6 papers), Soil Geostatistics and Mapping (6 papers) and Climate variability and models (4 papers). Gunter Spöck is often cited by papers focused on Hydrology and Drought Analysis (6 papers), Soil Geostatistics and Mapping (6 papers) and Climate variability and models (4 papers). Gunter Spöck collaborates with scholars based in Austria, Pakistan and Taiwan. Gunter Spöck's co-authors include Jürgen Pilz, Ijaz Hussain, Hwa‐Lung Yu, Firdos Khan, Emmanouil Paraskakis, Ioannis Spyroglou, A. Rigas, Shaukat Ali, Yuei‐An Liou and Hannes Kazianka and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Sensors.

In The Last Decade

Gunter Spöck

19 papers receiving 296 citations

Peers

Countries citing papers authored by Gunter Spöck

Since Specialization

Citations

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

Fields of papers citing papers by Gunter Spöck

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gunter Spöck

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

All Works

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19 of 19 papers shown

#	Work	Indexed citations
1	Association of precipitation extremes and crops production and projecting future extremes using machine learning approaches with CMIP6 data 2024 ·Environmental Science and Pollution Research ·Firdos Khan, Gunter Spöck, Yuei‐An Liou, Shaukat Ali	5
2	Assessing the impacts of temperature extremes on agriculture yield and projecting future extremes using machine learning and deep learning approaches with CMIP6 data 2024 ·International Journal of Applied Earth Observation and Geoinformation ·Firdos Khan, Yuei‐An Liou, Gunter Spöck, Xue Wang, Shaukat Ali	7
3	A Bayesian Logistic Regression approach in Asthma Persistence Prediction 2022 ·SHILAP Revista de lepidopterología ·Ioannis Spyroglou, Gunter Spöck, (unknown), A. Rigas, Emmanouil Paraskakis	5
4	A cyber-physical environment for detecting exceptional and dangerous human behavior in the home by sensors and its verification by computer simulation 2020 ·Adaptive Behavior ·(unknown), (unknown), Gunter Spöck	1
5	A novel approach for modelling pattern and spatial dependence structures between climate variables by combining mixture models with copula models 2019 ·International Journal of Climatology ·Firdos Khan, Gunter Spöck, Jürgen Pilz	15
6	Classifying Image Stacks of Specular Silicon Wafer Back Surface Regions: Performance Comparison of CNNs and SVMs 2019 ·Sensors ·(unknown), (unknown), Gunter Spöck	8
7	Evaluation of Bayesian classifiers in asthma exacerbation prediction after medication discontinuation 2018 ·BMC Research Notes ·Ioannis Spyroglou, Gunter Spöck, A. Rigas, Emmanouil Paraskakis	16
8	Detecting Star Cracks in Topography Images of Specular Back Surfaces of Structured Wafers 2018 ·(unknown), (unknown), Gunter Spöck	1
9	Classifying defects in topography images of silicon wafers 2017 ·2017 Winter Simulation Conference (WSC) ·(unknown), Gunter Spöck, (unknown)	4
10	Spatial Prediction and Optimized Sampling Design for Sodium Concentration in Groundwater 2016 ·PLoS ONE ·(unknown), Ijaz Hussain, Gunter Spöck, Muhammad Faisal, Javid Shabbir, Nasser M. AbdEl‐Salam, Tajammal Hussain	5
11	Optimal design of experiments for semiconductor lifetime data 2013 ·(unknown), (unknown), Gunter Spöck	1
12	Spatial sampling design based on spectral approximations to the random field 2012 ·Environmental Modelling & Software ·Gunter Spöck	7
13	A new bivariate Gamma distribution generated from functional scale parameter with application to drought data 2012 ·Stochastic Environmental Research and Risk Assessment ·(unknown), Albrecht Gebhardt, Jürgen Pilz, Gunter Spöck	3
14	Some advances in Bayesian spatial prediction and sampling design 2012 ·Spatial Statistics ·Jürgen Pilz, Hannes Kazianka, Gunter Spöck	7
15	Spatial sampling design based on convex design ideas and using external drift variables for a rainfall monitoring network in Pakistan 2011 ·Statistical Methodology ·Gunter Spöck, Ijaz Hussain	2
16	On the performance of a new bivariate pseudo Pareto distribution with application to drought data 2011 ·Stochastic Environmental Research and Risk Assessment ·(unknown), Gunter Spöck, Jürgen Pilz	3
17	Spatio-temporal interpolation of precipitation during monsoon periods in Pakistan 2010 ·Advances in Water Resources ·Ijaz Hussain, Gunter Spöck, Jürgen Pilz, Hwa‐Lung Yu	34
18	Spatial sampling design and covariance-robust minimax prediction based on convex design ideas 2009 ·Stochastic Environmental Research and Risk Assessment ·Gunter Spöck, Jürgen Pilz	21
19	Why do we need and how should we implement Bayesian kriging methods 2007 ·Stochastic Environmental Research and Risk Assessment ·Jürgen Pilz, Gunter Spöck	162

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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