James Nutaro

1.9k total citations
112 papers, 1.2k citations indexed

About

James Nutaro is a scholar working on Management Science and Operations Research, Electrical and Electronic Engineering and Computer Networks and Communications. According to data from OpenAlex, James Nutaro has authored 112 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Management Science and Operations Research, 32 papers in Electrical and Electronic Engineering and 27 papers in Computer Networks and Communications. Recurrent topics in James Nutaro's work include Simulation Techniques and Applications (46 papers), Smart Grid Energy Management (16 papers) and Building Energy and Comfort Optimization (14 papers). James Nutaro is often cited by papers focused on Simulation Techniques and Applications (46 papers), Smart Grid Energy Management (16 papers) and Building Energy and Comfort Optimization (14 papers). James Nutaro collaborates with scholars based in United States, France and South Korea. James Nutaro's co-authors include Bernard P. Zeigler, Teja Kuruganti, V. Protopopescu, Jin Dong, Phani Teja Kuruganti, Mallikarjun Shankar, Christopher Winstead, Mohammed M. Olama, Hessam S. Sarjoughian and Yaosuo Xue and has published in prestigious journals such as PLoS ONE, Journal of Computational Physics and Applied Energy.

In The Last Decade

James Nutaro

108 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James Nutaro United States 19 467 430 339 263 154 112 1.2k
Sergio Grammatico Netherlands 23 541 1.2× 704 1.6× 391 1.2× 611 2.3× 36 0.2× 122 1.9k
Pietro Belotti United States 15 324 0.7× 406 0.9× 128 0.4× 213 0.8× 37 0.2× 40 1.3k
Pavel Vrba Czechia 19 574 1.2× 465 1.1× 87 0.3× 160 0.6× 19 0.1× 103 1.6k
Maryam Kamgarpour Switzerland 24 610 1.3× 716 1.7× 178 0.5× 253 1.0× 112 0.7× 103 1.7k
Shi‐Chung Chang Taiwan 19 392 0.8× 220 0.5× 142 0.4× 160 0.6× 51 0.3× 141 1.5k
Kostas Margellos United Kingdom 19 645 1.4× 649 1.5× 190 0.6× 339 1.3× 40 0.3× 77 1.5k
Miles Lubin United States 14 505 1.1× 214 0.5× 172 0.5× 73 0.3× 24 0.2× 27 1.0k
John Shortle United States 13 450 1.0× 161 0.4× 200 0.6× 589 2.2× 49 0.3× 91 1.6k
Pierre Bonami France 16 241 0.5× 534 1.2× 256 0.8× 118 0.4× 28 0.2× 34 1.5k

Countries citing papers authored by James Nutaro

Since Specialization
Citations

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

Fields of papers citing papers by James Nutaro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Nutaro

This figure shows the co-authorship network connecting the top 25 collaborators of James Nutaro. A scholar is included among the top collaborators of James Nutaro 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 James Nutaro. James Nutaro 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.
Yoginath, Srikanth B., et al.. (2024). Simulation Cloning for Digital Twins: A Scalable Approach. 1–13. 1 indexed citations
2.
Nutaro, James, Byungkwon Park, Jin Dong, et al.. (2023). Review of Emerging Concepts in Distribution System State Estimation: Opportunities and Challenges. IEEE Access. 11. 70503–70515. 7 indexed citations
3.
Nutaro, James. (2023). Prospect Theory and the Favorite Long-Shot Bias in Baseball. Risks. 11(5). 95–95.
4.
Nutaro, James, et al.. (2022). Race conditions and data partitioning: risks posed by common errors to reproducible parallel simulations. SIMULATION. 99(4). 417–427. 5 indexed citations
5.
Nutaro, James, et al.. (2021). Tissue scale agent-based simulation of premalignant progressions in Barrett’s esophagus. SIMULATION. 98(4). 275–284. 2 indexed citations
6.
Hu, Xiaolin & James Nutaro. (2020). A Priority-Based Control Strategy and Performance Bound for Aggregated HVAC-Based Load Shaping. IEEE Transactions on Smart Grid. 11(5). 4133–4143. 18 indexed citations
7.
Dong, Jin, Yaosuo Xue, Mohammed M. Olama, et al.. (2018). Distribution Voltage Control: Current Status and Future Trends. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1–7. 11 indexed citations
8.
Dong, Jin, Mohammed M. Olama, Teja Kuruganti, et al.. (2017). Adaptive building load control to enable high penetration of solar photovoltaic generation. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1–5. 11 indexed citations
9.
Olama, Mohammed M., et al.. (2017). Spectral analytics of solar photovoltaic power output for optimal distributed energy resource utilization. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1–5. 4 indexed citations
10.
Fricke, Brian, Teja Kuruganti, James Nutaro, David Fugate, & Jibonananda Sanyal. (2016). Utilizing Thermal Mass in Refrigerated Display Cases to Reduce Peak Demand. Purdue e-Pubs (Purdue University System). 2 indexed citations
11.
Nutaro, James. (2016). A method for bounding error in multi-rate and federated simulations. Winter Simulation Conference. 967–976. 1 indexed citations
12.
Kuruganti, Teja, et al.. (2016). Real-time urban population monitoring using pervasive sensor network. 1–4. 3 indexed citations
13.
Pullum, Laura, et al.. (2016). Augmenting Epidemiological Models with Point-Of-Care Diagnostics Data. PLoS ONE. 11(4). e0153769–e0153769. 3 indexed citations
14.
Nutaro, James, et al.. (2016). Analyzing the impact of modeling choices and assumptions in compartmental epidemiological models. SIMULATION. 92(5). 459–472. 14 indexed citations
15.
Begoli, Edmon, et al.. (2012). Big data platforms as a service: challenges and approach. 16–16. 14 indexed citations
16.
Xue, Jianping, Thomas McCurdy, Janet Burke, et al.. (2009). Analyses of school commuting data for exposure modeling purposes. Journal of Exposure Science & Environmental Epidemiology. 20(1). 69–78. 11 indexed citations
17.
Muzy, Alexandre, James Nutaro, Bernard P. Zeigler, & Patrick Coquillard. (2008). Modeling and simulation of fire spreading through the activity tracking paradigm. Ecological Modelling. 219(1-2). 212–225. 17 indexed citations
18.
Nutaro, James, Richard C. Ward, Elizabeth C. O’Quinn, et al.. (2007). A discrete cell migration model. Summer Computer Simulation Conference. 811–816. 3 indexed citations
19.
Nutaro, James. (2005). Constructing multi-point discrete event integration schemes. Winter Simulation Conference. 267–273. 3 indexed citations
20.
Nutaro, James & Hessam S. Sarjoughian. (2003). A unified view of time and causality and its application to distributed simulation. Summer Computer Simulation Conference. 419–425. 3 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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