Raya Horesh

683 total citations · 1 hit paper
16 papers, 510 citations indexed

About

Raya Horesh is a scholar working on Building and Construction, Environmental Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Raya Horesh has authored 16 papers receiving a total of 510 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Building and Construction, 4 papers in Environmental Engineering and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Raya Horesh's work include Building Energy and Comfort Optimization (8 papers), Advanced Control Systems Optimization (3 papers) and Smart Grid Energy Management (3 papers). Raya Horesh is often cited by papers focused on Building Energy and Comfort Optimization (8 papers), Advanced Control Systems Optimization (3 papers) and Smart Grid Energy Management (3 papers). Raya Horesh collaborates with scholars based in United States, France and Canada. Raya Horesh's co-authors include Young Moo Lee, Young Tae Chae, Youngdeok Hwang, Leo Liberti, Lianjun An, Eldad Haber, Rui Zhang, Kush R. Varshney, Jan Modersitzki and Fei Liu and has published in prestigious journals such as Annals of the New York Academy of Sciences, Energy and Buildings and Numerical Linear Algebra with Applications.

In The Last Decade

Raya Horesh

16 papers receiving 488 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.

Artificial neural network model for forecasting sub-hourly electricity usage in commercial buildings

2015 316 citations Young Tae Chae, Raya Horesh et al. Energy and Buildings profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Raya Horesh United States	8	283	247	98	94	56	16	510
André Gustavo dos Santos Brazil	10	175 0.6×	83 0.3×	49 0.5×	10 0.1×	28 0.5×	44	638
Deva P. Seetharam India	16	513 1.8×	124 0.5×	50 0.5×	31 0.3×	60 1.1×	38	751
Seungwon Jung South Korea	11	255 0.9×	87 0.4×	45 0.5×	55 0.6×	167 3.0×	16	472
Alberto Garcés-Jiménez Spain	7	133 0.5×	142 0.6×	47 0.5×	30 0.3×	58 1.0×	14	343
Karsten Menzel Ireland	12	103 0.4×	227 0.9×	41 0.4×	36 0.4×	19 0.3×	35	387
Ted Scully Ireland	11	140 0.5×	43 0.2×	25 0.3×	38 0.4×	62 1.1×	20	349
Andrea Bagnasco Italy	11	199 0.7×	80 0.3×	52 0.5×	27 0.3×	29 0.5×	29	388
Tanuja Ganu India	12	224 0.8×	65 0.3×	49 0.5×	15 0.2×	82 1.5×	32	371
Henry Martin Switzerland	11	182 0.6×	81 0.3×	24 0.2×	15 0.2×	53 0.9×	54	485
Jiangfeng Wang China	14	137 0.5×	139 0.6×	14 0.1×	10 0.1×	69 1.2×	95	700

Countries citing papers authored by Raya Horesh

Since Specialization

Citations

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

Fields of papers citing papers by Raya Horesh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raya Horesh

This figure shows the co-authorship network connecting the top 25 collaborators of Raya Horesh. A scholar is included among the top collaborators of Raya Horesh 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 Raya Horesh. Raya Horesh 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:

16 of 16 papers shown

Vosoughi, Soroush, et al.. (2025). DECASTE: Unveiling Caste Stereotypes in Large Language Models Through Multi-Dimensional Bias Analysis. 9899–9907. 1 indexed citations

Ziems, Caleb, et al.. (2024). CultureBank: An Online Community-Driven Knowledge Base Towards Culturally Aware Language Technologies. 4996–5025. 4 indexed citations

Horesh, Raya, et al.. (2023). Forecasting Soil Moisture Using Domain Inspired Temporal Graph Convolution Neural Networks To Guide Sustainable Crop Management. 5897–5905. 3 indexed citations

Han, Barbara A., Subhabrata Majumdar, Flávio P. Calmon, et al.. (2019). Confronting data sparsity to identify potential sources of Zika virus spillover infection among primates. Epidemics. 27. 59–65. 28 indexed citations

Horesh, Raya, Kush R. Varshney, & Jinfeng Yi. (2016). Information retrieval, fusion, completion, and clustering for employee expertise estimation. 1385–1393. 9 indexed citations

Lee, Young Moo, Raya Horesh, & Leo Liberti. (2015). Simulation and optimization of energy efficient operation of HVAC system as demand response with distributed energy resources. Winter Simulation Conference. 991–999. 4 indexed citations

Lee, Young Moo, Raya Horesh, & Leo Liberti. (2015). Simulation and optimization of energy efficient operation of HVAC system as demand response with distributed energy resources. 2015 Winter Simulation Conference (WSC). 991–999. 10 indexed citations

Chae, Young Tae, Raya Horesh, Youngdeok Hwang, & Young Moo Lee. (2015). Artificial neural network model for forecasting sub-hourly electricity usage in commercial buildings. Energy and Buildings. 111. 184–194. 316 indexed citations breakdown →

Lee, Young Moo, Raya Horesh, & Leo Liberti. (2015). Optimal HVAC Control as Demand Response with On-site Energy Storage and Generation System. Energy Procedia. 78. 2106–2111. 60 indexed citations

10.

Haber, Eldad & Raya Horesh. (2015). A Multilevel Method for the Solution of Time Dependent Optimal Transport. Numerical Mathematics Theory Methods and Applications. 8(1). 97–111. 7 indexed citations

11.

Lee, Young Moo, Lianjun An, Fei Liu, et al.. (2014). Analytics for Smarter Buildings. RePEc: Research Papers in Economics. 1(1). 1–15. 18 indexed citations

12.

An, Lianjun, Young Tae Chae, Raya Horesh, Young Lee, & Rui Zhang. (2013). An inverse PDE-ODE model for studying building energy demand. Winter Simulation Conference. 1869–1880. 4 indexed citations

13.

Lee, Young Moo, Lianjun An, Fei Liu, et al.. (2013). Building Energy Performance Analytics on Cloud as a Service. Service Science. 5(2). 124–136. 2 indexed citations

14.

An, Lianjun, Young Tae Chae, Raya Horesh, Young Lee, & Rui Zhang. (2013). An inverse PDE-ODE model for studying building energy demand. 2013 Winter Simulations Conference (WSC). 1869–1880. 5 indexed citations

15.

Lee, Young Moo, Lianjun An, Fei Liu, et al.. (2013). Applying science and mathematics to big data for smarter buildings. Annals of the New York Academy of Sciences. 1295(1). 18–25. 23 indexed citations

16.

Haber, Eldad, Raya Horesh, & Jan Modersitzki. (2010). Numerical optimization for constrained image registration. Numerical Linear Algebra with Applications. 17(2-3). 343–359. 16 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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