Gordon Reikard

1.8k total citations · 1 hit paper
33 papers, 1.2k citations indexed

About

Gordon Reikard is a scholar working on Atmospheric Science, Electrical and Electronic Engineering and Global and Planetary Change. According to data from OpenAlex, Gordon Reikard has authored 33 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Atmospheric Science, 8 papers in Electrical and Electronic Engineering and 8 papers in Global and Planetary Change. Recurrent topics in Gordon Reikard's work include Energy Load and Power Forecasting (8 papers), Climate variability and models (7 papers) and Wave and Wind Energy Systems (6 papers). Gordon Reikard is often cited by papers focused on Energy Load and Power Forecasting (8 papers), Climate variability and models (7 papers) and Wave and Wind Energy Systems (6 papers). Gordon Reikard collaborates with scholars based in United States, United Kingdom and Canada. Gordon Reikard's co-authors include Jean‐Raymond Bidlot, Pierre Pinson, Bryson Robertson, Clifford Hansen, W. Erick Rogers, Tara Jensen, Sue Ellen Haupt, Bradley J. Buckham, Ken Dragoon and Simon Parkinson and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Energy and Research Policy.

In The Last Decade

Gordon Reikard

31 papers receiving 1.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Predicting solar radiation at high resolutions: A comparison of time series forecasts

2008 483 citations Gordon Reikard Solar Energy profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gordon Reikard United States	14	605	576	381	289	257	33	1.2k
L. Cornejo-Bueno Spain	15	394 0.7×	386 0.7×	161 0.4×	70 0.2×	103 0.4×	26	876
Caroline Draxl United States	21	1.0k 1.7×	330 0.6×	124 0.3×	34 0.1×	583 2.3×	47	2.0k
Lourdes Ramírez Spain	20	431 0.7×	1.2k 2.1×	854 2.2×	70 0.2×	123 0.5×	56	1.7k
Stefano Alessandrini United States	28	1.1k 1.8×	852 1.5×	469 1.2×	22 0.1×	195 0.8×	92	2.6k
Francisco J. Santos‐Alamillos Spain	18	478 0.8×	510 0.9×	252 0.7×	17 0.1×	201 0.8×	28	1.2k
Chih‐Chiang Wei Taiwan	22	146 0.2×	126 0.2×	40 0.1×	395 1.4×	31 0.1×	64	1.3k
Jethro Browell United Kingdom	18	895 1.5×	353 0.6×	130 0.3×	24 0.1×	157 0.6×	40	1.1k
Richard Müller Germany	17	385 0.6×	918 1.6×	531 1.4×	16 0.1×	97 0.4×	48	1.8k
Lueder von Bremen Germany	16	749 1.2×	135 0.2×	135 0.4×	22 0.1×	178 0.7×	44	1.1k
Stian Normann Anfinsen Norway	21	121 0.2×	200 0.3×	39 0.1×	101 0.3×	942 3.7×	61	1.7k

Countries citing papers authored by Gordon Reikard

Since Specialization

Citations

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

Fields of papers citing papers by Gordon Reikard

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gordon Reikard

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

All Works

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20 of 20 papers shown

1.

Reikard, Gordon. (2024). Forecasting geomagnetic activity: Neural networks, moving windows and state transition models. Journal of Atmospheric and Solar-Terrestrial Physics. 256. 106201–106201. 4 indexed citations

2.

Reikard, Gordon. (2024). Forecasting the solar modulation potential: Tests of time series models. Journal of Atmospheric and Solar-Terrestrial Physics. 262. 106326–106326. 1 indexed citations

3.

Reikard, Gordon. (2024). Forecasting the El Niño southern oscillation: physics, bias correction and combined models. Meteorology and Atmospheric Physics. 136(5).

4.

Reikard, Gordon. (2023). Forecasting Exchange Rates with Neural Networks: Time Variation, Nonstationarity, and Causal Models. International Economic Journal. 37(2). 202–219. 1 indexed citations

5.

Reikard, Gordon. (2021). Forecasting paleoclimatic data with time series models. SHILAP Revista de lepidopterología. 6. 100015–100015. 1 indexed citations

6.

Reikard, Gordon & Clifford Hansen. (2018). Forecasting solar irradiance at short horizons: Frequency and time domain models. Renewable Energy. 135. 1270–1290. 49 indexed citations

7.

Reikard, Gordon. (2018). Forecasting space weather over short horizons: Revised and updated estimates. New Astronomy. 62. 62–69. 8 indexed citations

8.

Reikard, Gordon. (2018). Volcanic emissions and air pollution: Forecasts from time series models. Atmospheric Environment X. 1. 100001–100001. 14 indexed citations

9.

Reikard, Gordon, Sue Ellen Haupt, & Tara Jensen. (2017). Forecasting ground-level irradiance over short horizons: Time series, meteorological, and time-varying parameter models. Renewable Energy. 112. 474–485. 46 indexed citations

10.

Reikard, Gordon, Bryson Robertson, & Jean‐Raymond Bidlot. (2015). Combining wave energy with wind and solar: Short-term forecasting. Renewable Energy. 81. 442–456. 99 indexed citations

11.

Reikard, Gordon. (2013). Combining frequency and time domain models to forecast space weather. Advances in Space Research. 52(4). 622–632. 6 indexed citations

12.

Reikard, Gordon. (2013). Integrating wave energy into the power grid: Simulation and forecasting. Ocean Engineering. 73. 168–178. 51 indexed citations

13.

Dragoon, Ken, et al.. (2013). Wave Energy Utility Integration: Advanced Resource Characterization and Integration Costs and Issues. 1 indexed citations

14.

Reikard, Gordon. (2012). Forecasting volcanic air pollution in Hawaii: Tests of time series models. Atmospheric Environment. 60. 593–600. 12 indexed citations

15.

Reikard, Gordon. (2011). Stimulating economic growth through technological advance. 24–25. 1 indexed citations

16.

Reikard, Gordon. (2011). Forecasting space weather: Can new econometric methods improve accuracy?. Advances in Space Research. 47(12). 2073–2080. 9 indexed citations

17.

Reikard, Gordon. (2009). Forecasting ocean wave energy: Tests of time-series models. Ocean Engineering. 36(5). 348–356. 46 indexed citations

18.

Reikard, Gordon. (2009). Regime‐switching models and multiple causal factors in forecasting wind speed. Wind Energy. 13(5). 407–418. 12 indexed citations

19.

Reikard, Gordon. (2008). Predicting solar radiation at high resolutions: A comparison of time series forecasts. Solar Energy. 83(3). 342–349. 483 indexed citations breakdown →

20.

Reikard, Gordon. (2005). Endogenous technical advance and the stochastic trend in output: A neoclassical approach. Research Policy. 34(10). 1476–1490. 8 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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