Karl Hemker

1.2k total citations
11 papers, 984 citations indexed

About

Karl Hemker is a scholar working on Artificial Intelligence, Renewable Energy, Sustainability and the Environment and Global and Planetary Change. According to data from OpenAlex, Karl Hemker has authored 11 papers receiving a total of 984 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 9 papers in Renewable Energy, Sustainability and the Environment and 3 papers in Global and Planetary Change. Recurrent topics in Karl Hemker's work include Solar Radiation and Photovoltaics (10 papers), Solar Thermal and Photovoltaic Systems (9 papers) and Photovoltaic System Optimization Techniques (8 papers). Karl Hemker is often cited by papers focused on Solar Radiation and Photovoltaics (10 papers), Solar Thermal and Photovoltaic Systems (9 papers) and Photovoltaic System Optimization Techniques (8 papers). Karl Hemker collaborates with scholars based in United States, Austria and Canada. Karl Hemker's co-authors include Richard Perez, Sergey Kivalov, James Schlemmer, Thomas Hoff, D. Renné, David Pozo, Jan Remund, Lourdes Ramírez, Martín Gastón and Sophie Pelland and has published in prestigious journals such as Solar Energy and Journal of Atmospheric and Oceanic Technology.

In The Last Decade

Karl Hemker

11 papers receiving 921 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Karl Hemker United States	10	814	547	383	187	166	11	984
Sophie Pelland Canada	9	582 0.7×	448 0.8×	411 1.1×	114 0.6×	117 0.7×	19	852
Jan Remund Switzerland	17	807 1.0×	502 0.9×	332 0.9×	315 1.7×	237 1.4×	49	1.2k
Martín Gastón Spain	13	527 0.6×	339 0.6×	267 0.7×	122 0.7×	97 0.6×	35	712
Sergey Kivalov United States	12	650 0.8×	467 0.9×	285 0.7×	123 0.7×	70 0.4×	27	776
James Schlemmer United States	15	571 0.7×	404 0.7×	244 0.6×	272 1.5×	233 1.4×	27	880
Nicholas A. Engerer Australia	15	768 0.9×	541 1.0×	274 0.7×	271 1.4×	168 1.0×	29	1.0k
Luis F. Zarzalejo Spain	21	1.3k 1.5×	933 1.7×	354 0.9×	297 1.6×	88 0.5×	80	1.5k
Nicolas Schmutz Australia	7	641 0.8×	451 0.8×	439 1.1×	92 0.5×	76 0.5×	11	746
Annette Hammer Germany	13	828 1.0×	565 1.0×	255 0.7×	284 1.5×	120 0.7×	25	999
B. Urquhart United States	10	994 1.2×	683 1.2×	393 1.0×	180 1.0×	51 0.3×	11	1.1k

Countries citing papers authored by Karl Hemker

Since Specialization

Citations

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

Fields of papers citing papers by Karl Hemker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karl Hemker

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

All Works

Sort: Min cites: Since: Top N: Style:

11 of 11 papers shown

1.

Brotzge, Jerald A., Junhong Wang, Chris D. Thorncroft, et al.. (2020). A Technical Overview of the New York State Mesonet Standard Network. Journal of Atmospheric and Oceanic Technology. 37(10). 1827–1845. 75 indexed citations

2.

Perez, Richard, et al.. (2016). Solar energy forecast validation for extended areas & economic impact of forecast accuracy. 1119–1124. 14 indexed citations

3.

Perez, Richard, et al.. (2015). Satellite-to-irradiance modeling - a new version of the SUNY model. 1–7. 22 indexed citations

4.

Perez, Richard, et al.. (2014). A new operational solar resource forecast model service for PV fleet simulation. 16 indexed citations

5.

Perez, Richard, Elke Lorenz, Sophie Pelland, et al.. (2013). Comparison of numerical weather prediction solar irradiance forecasts in the US, Canada and Europe. Solar Energy. 94. 305–326. 291 indexed citations

6.

Cox, Stephen, Taiping Zhang, Paul W. Stackhouse, et al.. (2013). Progress Towards Deriving an Improved Long-Term Global Solar Resource. 1 indexed citations

7.

Hemker, Karl, et al.. (2013). Operational improvements in the performance of the SUNY satellite-to-solar irradiance model using satellite infrared channels. 960–963. 10 indexed citations

8.

Perez, Richard, et al.. (2012). Short-term irradiance variability: Preliminary estimation of station pair correlation as a function of distance. Solar Energy. 86(8). 2170–2176. 111 indexed citations

9.

Perez, Richard, et al.. (2011). SHORT-TERM IRRADIANCE VARIABILITY -- STATION PAIR CORRELATION AS A FUNCTION OF DISTANCE. 9 indexed citations

10.

Perez, Richard, et al.. (2011). Parameterization of site-specific short-term irradiance variability. Solar Energy. 85(7). 1343–1353. 80 indexed citations

11.

Perez, Richard, Sergey Kivalov, James Schlemmer, et al.. (2010). Validation of short and medium term operational solar radiation forecasts in the US. Solar Energy. 84(12). 2161–2172. 355 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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