Nicholas Long

1.1k total citations
39 papers, 347 citations indexed

About

Nicholas Long is a scholar working on Building and Construction, Renewable Energy, Sustainability and the Environment and Electrical and Electronic Engineering. According to data from OpenAlex, Nicholas Long has authored 39 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Building and Construction, 13 papers in Renewable Energy, Sustainability and the Environment and 8 papers in Electrical and Electronic Engineering. Recurrent topics in Nicholas Long's work include Building Energy and Comfort Optimization (29 papers), Energy Efficiency and Management (10 papers) and BIM and Construction Integration (9 papers). Nicholas Long is often cited by papers focused on Building Energy and Comfort Optimization (29 papers), Energy Efficiency and Management (10 papers) and BIM and Construction Integration (9 papers). Nicholas Long collaborates with scholars based in United States, China and Austria. Nicholas Long's co-authors include Katherine E. Fleming-Dutra, Brent Griffith, Drury B. Crawley, P. Torcellini, Gregor P. Henze, Jeremy Straub, Donovan Torgerson, Noah Root, Na Wang and Supriya Goel and has published in prestigious journals such as Applied Energy, Energy Conversion and Management and Energy and Buildings.

In The Last Decade

Nicholas Long

35 papers receiving 285 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nicholas Long United States 12 240 91 90 62 51 39 347
Atefe Makhmalbaf United States 11 230 1.0× 84 0.9× 30 0.3× 99 1.6× 19 0.4× 24 467
Paul Westermann Canada 6 281 1.2× 113 1.2× 69 0.8× 143 2.3× 8 0.2× 11 379
Jason Runge Canada 7 214 0.9× 257 2.8× 92 1.0× 81 1.3× 8 0.2× 11 400
Christoph Waibel Switzerland 10 311 1.3× 138 1.5× 74 0.8× 181 2.9× 12 0.2× 37 464
Dirk Jacob Germany 7 212 0.9× 40 0.4× 66 0.7× 109 1.8× 7 0.1× 15 307
Sundaravelpandian Singaravel Belgium 7 319 1.3× 83 0.9× 42 0.5× 153 2.5× 5 0.1× 9 446
Christoph Nytsch‐Geusen Germany 10 267 1.1× 207 2.3× 138 1.5× 42 0.7× 12 0.2× 33 468
Shide Salimi Canada 9 241 1.0× 78 0.9× 32 0.4× 83 1.3× 4 0.1× 19 367
Siyuan Yang Japan 8 144 0.6× 159 1.7× 25 0.3× 60 1.0× 25 0.5× 26 291

Countries citing papers authored by Nicholas Long

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicholas Long

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

All Works

20 of 20 papers shown
1.
Zwickl-Bernhard, Sebastian, et al.. (2025). Optimizing district energy systems under uncertainty: Insights from a case study from Washington D.C., USA. Energy Conversion and Management. 341. 119979–119979.
2.
Long, Nicholas, et al.. (2024). Parameter identification methods for low-order gray box building energy models: A critical review. Energy and Buildings. 311. 114123–114123. 12 indexed citations
3.
Long, Nicholas, et al.. (2024). Advances in building data management for building performance standards using the SEED platform. Developments in the Built Environment. 20. 100530–100530. 1 indexed citations
4.
Murphy, Michael D., et al.. (2024). Optimal environmental and economic performance trade-offs for fifth generation district heating and cooling network topologies with waste heat recovery. Energy Conversion and Management. 309. 118322–118322. 7 indexed citations
5.
Long, Nicholas, et al.. (2024). Decarbonized district energy systems: Past review and future projections. Energy Conversion and Management X. 24. 100726–100726. 6 indexed citations
6.
Wang, Jing, et al.. (2022). Modelica-based modeling and simulation of district cooling systems: A case study. Applied Energy. 311. 118654–118654. 27 indexed citations
7.
Long, Nicholas, et al.. (2021). Development of a metamodelling framework for building energy models with application to fifth-generation district heating and cooling networks. Journal of Building Performance Simulation. 14(2). 203–225. 9 indexed citations
8.
Long, Nicholas, et al.. (2020). An open source analysis framework for large-scale building energy modeling. Journal of Building Performance Simulation. 13(5). 487–500. 14 indexed citations
9.
Goel, Supriya, et al.. (2018). Streamlining building energy efficiency assessment through integration of uncertainty analysis and full scale energy simulations. Energy and Buildings. 176. 45–57. 6 indexed citations
10.
Wang, Na, Supriya Goel, Atefe Makhmalbaf, & Nicholas Long. (2016). Development of building energy asset rating using stock modelling in the USA. Journal of Building Performance Simulation. 11(1). 4–18. 19 indexed citations
11.
Chen, Chun, et al.. (2016). A method of assessing the energy cost saving from using an effective door closer. Energy and Buildings. 118. 329–338. 3 indexed citations
12.
Long, Nicholas, et al.. (2014). A GRAPHICAL TOOL FOR CLOUD-BASED BUILDING ENERGY SIMULATION. 12 indexed citations
13.
Fleming-Dutra, Katherine E., et al.. (2012). Building Component Library: An Online Repository to Facilitate Building Energy Model Creation; Preprint. University of North Texas Digital Library (University of North Texas). 2 indexed citations
14.
Hale, Elaine & Nicholas Long. (2010). Enumerating a Diverse Set of Building Designs Using Discrete Optimization: Preprint. University of North Texas Digital Library (University of North Texas). 147(3). 489–495. 1 indexed citations
15.
Hale, Elaine & Nicholas Long. (2010). ENUMERATING A DIVERSE SET OF BUILDING DESIGNS USING DISCRETE OPTIMIZATION. Proceedings of SimBuild. 4(1). 77–84. 4 indexed citations
16.
Crawley, Drury B., P. Torcellini, Nicholas Long, et al.. (2010). Modeling Energy Savings: Guide to Standard 189.1. ASHRAE journal. 52. 2 indexed citations
17.
Long, Nicholas, et al.. (2010). Commercial Building Design Pathways Using Optimization Analysis. 4 indexed citations
18.
Ellis, Peter, Brent Griffith, Nicholas Long, P. Torcellini, & Drury B. Crawley. (2006). Automated Multivariate Optimization Tool for Energy Analysis. Proceedings of SimBuild. 2(1). 23 indexed citations
19.
Ellis, Peter, Brent Griffith, Nicholas Long, P. Torcellini, & Drury B. Crawley. (2006). Automated Multivariate Optimization Tool for Energy Analysis: Preprint. University of North Texas Digital Library (University of North Texas). 2 indexed citations
20.
Torcellini, P., M. Deru, Brent Griffith, et al.. (2004). Lessons Learned from Field Evaluation of Six High-Performance Buildings: Preprint. University of North Texas Digital Library (University of North Texas). 2 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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