Sybil Derrible

6.1k total citations · 3 hit papers
127 papers, 4.3k citations indexed

About

Sybil Derrible is a scholar working on Transportation, Building and Construction and Environmental Engineering. According to data from OpenAlex, Sybil Derrible has authored 127 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Transportation, 39 papers in Building and Construction and 21 papers in Environmental Engineering. Recurrent topics in Sybil Derrible's work include Transportation Planning and Optimization (31 papers), Urban Transport and Accessibility (28 papers) and Complex Network Analysis Techniques (13 papers). Sybil Derrible is often cited by papers focused on Transportation Planning and Optimization (31 papers), Urban Transport and Accessibility (28 papers) and Complex Network Analysis Techniques (13 papers). Sybil Derrible collaborates with scholars based in United States, Canada and United Kingdom. Sybil Derrible's co-authors include Christopher Kennedy, Abolfazl Mohammadian, Amir Bahador Parsa, Homa Taghipour, Ali Movahedi, Amirhassan Kermanshah, Nasir Ahmad, Caitlin Cottrill, Francisco C. Pereira and Alireza Karduni and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Sybil Derrible

121 papers receiving 4.2k citations

Hit Papers

Toward safer highways, application of XGBoost and SHAP fo... 2019 2026 2021 2023 2019 2024 2025 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sybil Derrible United States 36 1.4k 1.1k 767 448 414 127 4.3k
Jiuping Xu China 53 314 0.2× 1.2k 1.1× 466 0.6× 428 1.0× 312 0.8× 390 10.1k
Erik Jenelius Sweden 34 2.5k 1.9× 1.2k 1.1× 1.6k 2.1× 417 0.9× 314 0.8× 114 4.7k
Chao Yang China 33 1.4k 1.1× 587 0.5× 581 0.8× 124 0.3× 172 0.4× 219 3.7k
Lijun Sun Canada 34 2.0k 1.5× 1.4k 1.3× 389 0.5× 156 0.3× 138 0.3× 133 4.1k
Xuan Song China 38 1.5k 1.1× 1.3k 1.2× 236 0.3× 77 0.2× 514 1.2× 199 4.6k
Darren M. Scott Canada 39 3.9k 2.9× 800 0.7× 504 0.7× 155 0.3× 393 0.9× 134 5.4k
Samiul Hasan United States 28 1.7k 1.3× 561 0.5× 200 0.3× 162 0.4× 400 1.0× 108 3.2k
Michael A.P. Taylor Australia 25 1.5k 1.1× 1.0k 0.9× 617 0.8× 106 0.2× 142 0.3× 120 2.6k
Haoran Zhang China 47 749 0.6× 561 0.5× 509 0.7× 96 0.2× 422 1.0× 346 7.3k
Lars‐Göran Mattsson Sweden 21 1.1k 0.8× 340 0.3× 1.1k 1.4× 254 0.6× 285 0.7× 62 2.8k

Countries citing papers authored by Sybil Derrible

Since Specialization
Citations

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

Fields of papers citing papers by Sybil Derrible

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sybil Derrible

This figure shows the co-authorship network connecting the top 25 collaborators of Sybil Derrible. A scholar is included among the top collaborators of Sybil Derrible 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 Sybil Derrible. Sybil Derrible 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.
Derrible, Sybil, et al.. (2025). Exploring machine learning models to predict atmospheric water harvesting with an ion deposition membrane. Journal of Water Process Engineering. 72. 107476–107476. 4 indexed citations
2.
Spearing, Lauryn A., et al.. (2024). Depopulation and associated challenges for US cities by 2100. Nature Cities. 1(1). 51–61. 12 indexed citations
3.
4.
Mondal, Aupal, Katherine E. Asmussen, Chandra R. Bhat, et al.. (2023). Evolution of Mode Use During the COVID-19 Pandemic in the United States: Implications for the Future of Transit. Transportation Research Record Journal of the Transportation Research Board. 2678(12). 567–579. 11 indexed citations
5.
Rahimi, Ehsan, et al.. (2022). The Long-Term effects of COVID-19 on travel behavior in the United States: A panel study on work from home, mode choice, online shopping, and air travel. Transportation Research Part F Traffic Psychology and Behaviour. 90. 466–484. 80 indexed citations
6.
Movahedi, Ali & Sybil Derrible. (2021). Interrelationships between electricity, gas, and water consumption in large‐scale buildings. Journal of Industrial Ecology. 25(4). 932–947. 13 indexed citations
7.
Conway, Matthew, Deborah Salon, Peter Kedron, et al.. (2021). How Stable Are Transport-Related Attitudes over Time?. SHILAP Revista de lepidopterología. 9 indexed citations
8.
Ly, Hai‐Bang, et al.. (2021). Analyzing travel behavior in Hanoi using Support Vector Machine. Transportation Planning and Technology. 44(8). 843–859. 11 indexed citations
9.
Silva, Denise Capasso da, Deborah Salon, Ali Shamshiripour, et al.. (2021). COVID-19 related Attitudes and Risk Perceptions across Urban, Rural, and Suburban Areas in the United States. SHILAP Revista de lepidopterología. 35 indexed citations
10.
Silva, Denise Capasso da, Sara Khoeini, Deborah Salon, et al.. (2021). How are Attitudes Toward COVID-19 Associated with Traveler Behavior During the Pandemic?. SHILAP Revista de lepidopterología. 10 indexed citations
11.
Derrible, Sybil, et al.. (2020). A text mining analysis of the climate change literature in industrial ecology. Journal of Industrial Ecology. 24(2). 276–284. 21 indexed citations
12.
Ly, Hai‐Bang, Lei Lü, Van Quan Tran, et al.. (2019). Development of an AI Model to Measure Traffic Air Pollution from Multisensor and Weather Data. Sensors. 19(22). 4941–4941. 78 indexed citations
13.
Zou, Bo, et al.. (2019). Predicting Airport Runway and Taxiway Pavement Conditions: A Gradient Boosting Approach. Transportation Research Board 98th Annual MeetingTransportation Research Board. 2 indexed citations
14.
Derrible, Sybil, et al.. (2017). Industrial Symbiosis at the Facility Scale. Journal of Industrial Ecology. 21(3). 559–571. 75 indexed citations
15.
Ahmad, Nasir & Sybil Derrible. (2015). Evolution of Public Supply Water Withdrawal in the USA: A Network Approach. Journal of Industrial Ecology. 19(2). 321–330. 22 indexed citations
16.
Derrible, Sybil. (2015). The New Science of Cities, by MichaelBatty. Cambridge, MA, USA: MIT Press, 2013, 520 pp., ISBN 9780262019521, hardcover, $45.00.. Journal of Industrial Ecology. 19(2). 333–334. 2 indexed citations
17.
Dijkema, Gerard P.J., Ming Xu, Sybil Derrible, & Reid Lifset. (2015). Complexity in Industrial Ecology: Models, Analysis, and Actions. Journal of Industrial Ecology. 19(2). 189–194. 16 indexed citations
18.
Wang, Xiangrong, et al.. (2015). Quantifying the robustness of metro networks. Research Repository (Delft University of Technology). 2 indexed citations
19.
Derrible, Sybil & Caitlin Cottrill. (2013). How New Technologies Can Contribute to Measuring Sustainable Mobility. Transportation Research Board 92nd Annual MeetingTransportation Research Board. 1 indexed citations
20.
Derrible, Sybil. (2012). Network Centrality of Metro Systems. PLoS ONE. 7(7). e40575–e40575. 116 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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