Jan Dobschinski

976 total citations
16 papers, 717 citations indexed

About

Jan Dobschinski is a scholar working on Electrical and Electronic Engineering, Safety, Risk, Reliability and Quality and Atmospheric Science. According to data from OpenAlex, Jan Dobschinski has authored 16 papers receiving a total of 717 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Electrical and Electronic Engineering, 4 papers in Safety, Risk, Reliability and Quality and 3 papers in Atmospheric Science. Recurrent topics in Jan Dobschinski's work include Energy Load and Power Forecasting (8 papers), Electric Power System Optimization (8 papers) and Integrated Energy Systems Optimization (5 papers). Jan Dobschinski is often cited by papers focused on Energy Load and Power Forecasting (8 papers), Electric Power System Optimization (8 papers) and Integrated Energy Systems Optimization (5 papers). Jan Dobschinski collaborates with scholars based in Germany, United States and Finland. Jan Dobschinski's co-authors include V.S. Pappala, Kurt Rohrig, I. Erlich, Hannele Holttinen, Emilio Gómez‐Lázaro, Ricardo J. Bessa, Damian Flynn, Barry Rawn, Nickie Menemenlis and Nina Detlefsen and has published in prestigious journals such as IEEE Transactions on Power Systems, Solar Energy and Energies.

In The Last Decade

Jan Dobschinski

13 papers receiving 683 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jan Dobschinski Germany	10	644	144	121	100	70	16	717
G. Jordan United States	11	447 0.7×	113 0.8×	111 0.9×	44 0.4×	48 0.7×	22	531
Yih-huei Wan United States	13	477 0.7×	90 0.6×	143 1.2×	75 0.8×	48 0.7×	18	586
Junhui Huang China	11	629 1.0×	101 0.7×	182 1.5×	74 0.7×	21 0.3×	34	679
Clyde Loutan United States	13	767 1.2×	113 0.8×	329 2.7×	38 0.4×	57 0.8×	25	814
Nima Safari Canada	12	464 0.7×	60 0.4×	102 0.8×	107 1.1×	16 0.2×	32	558
Qianyao Xu China	8	368 0.6×	37 0.3×	91 0.8×	70 0.7×	21 0.3×	14	398
K. Afshar Iran	14	518 0.8×	83 0.6×	149 1.2×	51 0.5×	64 0.9×	30	597
N. Miller United States	10	615 1.0×	52 0.4×	336 2.8×	77 0.8×	102 1.5×	17	698
Brett Oakleaf Israel	4	427 0.7×	41 0.3×	221 1.8×	45 0.5×	24 0.3×	5	460
Rui Bi China	11	335 0.5×	26 0.2×	131 1.1×	165 1.6×	130 1.9×	49	486

Countries citing papers authored by Jan Dobschinski

Since Specialization

Citations

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

Fields of papers citing papers by Jan Dobschinski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Dobschinski

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

All Works

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16 of 16 papers shown

Dobschinski, Jan, et al.. (2025). Predictability of the operating behaviour of different types of heat pump systems. IET conference proceedings.. 2024(16). 499–506.

Estanqueiro, Ana, Hugo Algarvio, António Couto, et al.. (2025). Dynamic Line Rating Models and Their Potential for a Cost‐Effective Transition to Carbon‐Neutral Power Systems. Wiley Interdisciplinary Reviews Energy and Environment. 14(1).

Schroedter‐Homscheidt, Marion, Jan Dobschinski, Stefan Emeis, Detlev Heinemann, & Stefanie Meilinger. (2024). Weather as a driver of the energy transition – present and emerging perspectives of energy meteorology. Journal of Renewable and Sustainable Energy. 16(6). 1 indexed citations

Söder, Lennart, Damian Flynn, Julia Matevosyan, et al.. (2023). Strategies for Continuous Balancing in Future Power Systems with High Wind and Solar Shares. Energies. 16(14). 5249–5249. 20 indexed citations

Lange, Bernhard, et al.. (2022). Role of wind power forecasts in grid integration. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 32(5). e78–e79.

Korpås, Magnus, Hannele Holttinen, Niina Helistö, et al.. (2022). Addressing Market Issues in Electrical Power Systems with Large Shares of Variable Renewable Energy. HAL (Le Centre pour la Communication Scientifique Directe). 1–8. 1 indexed citations

Holttinen, Hannele, Juha Kiviluoma, Thomas E. Levy, et al.. (2019). Design and operation of power systems with large amounts of wind power: Final summary report, IEA WIND Task 25, Phase four 2015-2017. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 10 indexed citations

Haupt, Sue Ellen, Michael R. Davidson, Jan Dobschinski, et al.. (2019). The Use of Probabilistic Forecasts: Applying Them in Theory and Practice. IEEE Power and Energy Magazine. 17(6). 46–57. 42 indexed citations

Dobschinski, Jan, Ricardo J. Bessa, Pengwei Du, et al.. (2017). Uncertainty Forecasting in a Nutshell: Prediction Models Designed to Prevent Significant Errors. IEEE Power and Energy Magazine. 15(6). 40–49. 25 indexed citations

10.

Cutululis, Nicolaos Antonio, et al.. (2015). Report on design tool on variability and predictability. 1 indexed citations

11.

Saint‐Drenan, Yves‐Marie, et al.. (2015). An empirical approach to parameterizing photovoltaic plants for power forecasting and simulation. Solar Energy. 120. 479–493. 44 indexed citations

12.

Holttinen, Hannele, Michael Milligan, Erik Ela, et al.. (2013). Methodologies to determine operating reserves due to increased wind power. Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT). 1–10. 35 indexed citations

13.

Gómez‐Lázaro, Emilio, Erik Berge, Jari Miettinen, et al.. (2013). Analysis of Variability and Uncertainty in Wind Power Forecasting: An International Comparison: Preprint. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 10 indexed citations

14.

Holttinen, Hannele, Michael Milligan, Erik Ela, et al.. (2012). Methodologies to Determine Operating Reserves Due to Increased Wind Power. IEEE Transactions on Sustainable Energy. 3(4). 713–723. 224 indexed citations

15.

Smith, J. Charles, Dale Osborn, Robert Zavadil, et al.. (2012). Transmission planning for wind energy in the United States and Europe: status and prospects. Wiley Interdisciplinary Reviews Energy and Environment. 2(1). 1–13. 18 indexed citations

16.

Pappala, V.S., I. Erlich, Kurt Rohrig, & Jan Dobschinski. (2009). A Stochastic Model for the Optimal Operation of a Wind-Thermal Power System. IEEE Transactions on Power Systems. 24(2). 940–950. 286 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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