Paul A. Reneke

3.0k total citations · 1 hit paper
41 papers, 1.4k citations indexed

About

Paul A. Reneke is a scholar working on Safety, Risk, Reliability and Quality, Ocean Engineering and Aerospace Engineering. According to data from OpenAlex, Paul A. Reneke has authored 41 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Safety, Risk, Reliability and Quality, 14 papers in Ocean Engineering and 10 papers in Aerospace Engineering. Recurrent topics in Paul A. Reneke's work include Fire dynamics and safety research (28 papers), Evacuation and Crowd Dynamics (14 papers) and Combustion and Detonation Processes (10 papers). Paul A. Reneke is often cited by papers focused on Fire dynamics and safety research (28 papers), Evacuation and Crowd Dynamics (14 papers) and Combustion and Detonation Processes (10 papers). Paul A. Reneke collaborates with scholars based in United States, Sweden and Hong Kong. Paul A. Reneke's co-authors include Richard G. Gann, Richard D. Peacock, Erica D. Kuligowski, Enrico Ronchi, Vytenis Babrauskas, Walter W. Jones, Richard W. Bukowski, Max Kinateder, Jason D. Averill and William D. Davis and has published in prestigious journals such as Expert Systems with Applications, Applied Mathematical Modelling and Fire Safety Journal.

In The Last Decade

Paul A. Reneke

38 papers receiving 1.2k citations

Hit Papers

NIST Special Publication 984 2002 2026 2010 2018 2002 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paul A. Reneke United States 15 634 596 143 135 133 41 1.4k
Shifei Shen China 15 256 0.4× 234 0.4× 35 0.2× 103 0.8× 64 0.5× 77 878
Xiao Song China 21 307 0.5× 243 0.4× 18 0.1× 110 0.8× 168 1.3× 116 1.5k
Xinyue Zhang China 16 78 0.1× 103 0.2× 45 0.3× 44 0.3× 260 2.0× 141 979
Gyunyoung Heo South Korea 18 54 0.1× 153 0.3× 113 0.8× 21 0.2× 64 0.5× 108 881
Lida Huang China 18 94 0.1× 127 0.2× 22 0.2× 23 0.2× 100 0.8× 85 1.0k
Martin Strohmeier United Kingdom 19 59 0.1× 94 0.2× 108 0.8× 27 0.2× 412 3.1× 81 1.6k
Alexis Kwasinski United States 33 40 0.1× 230 0.4× 65 0.5× 31 0.2× 141 1.1× 157 4.4k
Yi Hu China 21 31 0.0× 130 0.2× 52 0.4× 32 0.2× 113 0.8× 147 1.9k

Countries citing papers authored by Paul A. Reneke

Since Specialization
Citations

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

Fields of papers citing papers by Paul A. Reneke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul A. Reneke. 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 Paul A. Reneke. The network helps show where Paul A. Reneke may publish in the future.

Co-authorship network of co-authors of Paul A. Reneke

This figure shows the co-authorship network connecting the top 25 collaborators of Paul A. Reneke. A scholar is included among the top collaborators of Paul A. Reneke 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 Paul A. Reneke. Paul A. Reneke 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.
Tam, Wai Cheong, Jiajia Li, Richard D. Peacock, et al.. (2023). Real-time flashover prediction model for multi-compartment building structures using attention based recurrent neural networks. Expert Systems with Applications. 223. 119899–119899. 13 indexed citations
2.
Wang, Jun, Wai Cheong Tam, Youwei Jia, et al.. (2021). P-Flash – A machine learning-based model for flashover prediction using recovered temperature data. Fire Safety Journal. 122. 103341–103341. 28 indexed citations
3.
Ronchi, Enrico, Paul A. Reneke, & Richard D. Peacock. (2015). A conceptual fatigue-motivation model to represent pedestrian movement during stair evacuation. Applied Mathematical Modelling. 40(7-8). 4380–4396. 42 indexed citations
4.
Kinateder, Max, Erica D. Kuligowski, Paul A. Reneke, & Richard D. Peacock. (2015). Risk perception in fire evacuation behavior revisited: definitions, related concepts, and empirical evidence. PubMed. 4(1). 1–1. 114 indexed citations
5.
Ronchi, Enrico, Paul A. Reneke, Erica D. Kuligowski, & Richard D. Peacock. (2014). An analysis of evacuation travel paths on stair landings by means of conditional probabilities. Fire Safety Journal. 65. 30–40. 21 indexed citations
6.
Ronchi, Enrico, Erica D. Kuligowski, Richard D. Peacock, & Paul A. Reneke. (2013). A probabilistic approach for the analysis of evacuation movement data. Fire Safety Journal. 63. 69–78. 19 indexed citations
7.
Ronchi, Enrico, Paul A. Reneke, & Richard D. Peacock. (2013). A Method for the Analysis of Behavioural Uncertainty in Evacuation Modelling. Fire Technology. 50(6). 1545–1571. 98 indexed citations
8.
Peacock, Richard D., Paul A. Reneke, Glenn P. Forney, & Walter W. Jones. (2009). CFAST - Consolidated Model of Fire Growth and Smoke Transport (Version 6), User's Guide, DECEMBER 2008 REVISION | NIST. 7 indexed citations
9.
Peacock, Richard D. & Paul A. Reneke. (2007). Verification and Validation of Selected Fire Models for Nuclear Power Plant Applications. Volume 5. Consolidated Fire Growth and Smoke Transport Model (CFAST) (NUREG-1824) | NIST. 5. 3 indexed citations
10.
Averill, Jason D., Dennis S. Mileti, Richard D. Peacock, et al.. (2005). Occupant Behavior, Egress, and Emergency Communication. Federal Building and Fire Safety Investigation of the World Trade Center Disaster (NIST NCSTAR 1-7) | NIST. 75 indexed citations
11.
Davis, William D., et al.. (2005). Workshop on the Evaluation of a Tactical Decision Aid Display. 1 indexed citations
12.
Peacock, Richard D., Jason D. Averill, Daniel M. Madrzykowski, et al.. (2004). Fire Safety of Passenger Trains. Phase 3. Evaluation of Fire Hazard Analysis Using Full-Scale Passenger Rail Car Tests (NISTIR 6563) | NIST. 10 indexed citations
13.
Babrauskas, Vytenis, Richard D. Peacock, & Paul A. Reneke. (2003). Defining flashover for fire hazard calculations: Part II. Fire Safety Journal. 38(7). 613–622. 46 indexed citations
14.
Gann, Richard G. & Paul A. Reneke. (2002). NIST Special Publication 984. 510 indexed citations breakdown →
15.
Pitts, William M., Richard D. Peacock, Henri E. Mitler, et al.. (2001). Temperature Uncertainties for Bare-Bead and Aspirated Thermocouple Measurements in Fire Environments | NIST. 11 indexed citations
16.
Reneke, Paul A., Walter W. Jones, Michelle J. Peatross, Craig L. Beyler, & Robert C. Richards. (2000). Comparison of CFAST Predictions to USCG Real-Scale Fire Tests.. 4 indexed citations
17.
Peacock, Richard D., et al.. (1997). Data Structures for the Fire Data Management System, FDMS 2.0 (NISTIR 6088). 3 indexed citations
18.
Peacock, Richard D., Paul A. Reneke, Walter W. Jones, Richard W. Bukowski, & Vytenis Babrauskas. (1995). Concepts for fire protection of passenger rail transportation vehicles: Past, present, and future. Fire and Materials. 19(2). 71–87. 13 indexed citations
19.
Peacock, Richard D., et al.. (1993). FIRE SAFETY OF PASSENGER TRAINS: A REVIEW OF U.S. AND FOREIGN APPROACHES. 1 indexed citations
20.
Reneke, Paul A., et al.. (1992). A User's Guide for CFAST Version 1.6. 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026