M. Ehsan Shafiee

953 total citations
29 papers, 533 citations indexed

About

M. Ehsan Shafiee is a scholar working on Civil and Structural Engineering, Ocean Engineering and Water Science and Technology. According to data from OpenAlex, M. Ehsan Shafiee has authored 29 papers receiving a total of 533 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Civil and Structural Engineering, 17 papers in Ocean Engineering and 8 papers in Water Science and Technology. Recurrent topics in M. Ehsan Shafiee's work include Water Systems and Optimization (19 papers), Water resources management and optimization (11 papers) and Evacuation and Crowd Dynamics (7 papers). M. Ehsan Shafiee is often cited by papers focused on Water Systems and Optimization (19 papers), Water resources management and optimization (11 papers) and Evacuation and Crowd Dynamics (7 papers). M. Ehsan Shafiee collaborates with scholars based in United States, Iran and United Kingdom. M. Ehsan Shafiee's co-authors include Emily Zechman Berglund, Emily M. Zechman, Amin Rasekh, Mohammad Reza Nikoo, Lina Sela, Terranna Haxton, Jorge E. Pesantez, Michael K. Lindell, Ehsan Raei and Marcio H. Giacomoni and has published in prestigious journals such as Journal of Cleaner Production, IEEE Access and Sustainable Cities and Society.

In The Last Decade

M. Ehsan Shafiee

28 papers receiving 512 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Ehsan Shafiee United States 16 302 204 200 112 84 29 533
Amin Rasekh United States 14 353 1.2× 207 1.0× 145 0.7× 135 1.2× 92 1.1× 30 577
Jorge E. Pesantez United States 10 214 0.7× 120 0.6× 113 0.6× 97 0.9× 35 0.4× 19 459
Alex Francisque Canada 12 309 1.0× 223 1.1× 116 0.6× 130 1.2× 125 1.5× 18 622
Cristiana Bragalli Italy 12 429 1.4× 177 0.9× 238 1.2× 128 1.1× 61 0.7× 24 595
Rita Ugarelli Norway 16 470 1.6× 134 0.7× 160 0.8× 214 1.9× 93 1.1× 68 735
Mark Morley United Kingdom 11 271 0.9× 134 0.7× 173 0.9× 99 0.9× 39 0.5× 34 468
Velitchko Tzatchkov Mexico 15 624 2.1× 219 1.1× 287 1.4× 229 2.0× 150 1.8× 56 754
Roland Liemberger Philippines 7 411 1.4× 193 0.9× 311 1.6× 101 0.9× 79 0.9× 10 587
Joaquim Sousa Portugal 14 797 2.6× 186 0.9× 358 1.8× 293 2.6× 191 2.3× 30 900

Countries citing papers authored by M. Ehsan Shafiee

Since Specialization
Citations

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

Fields of papers citing papers by M. Ehsan Shafiee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Ehsan Shafiee. 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 M. Ehsan Shafiee. The network helps show where M. Ehsan Shafiee may publish in the future.

Co-authorship network of co-authors of M. Ehsan Shafiee

This figure shows the co-authorship network connecting the top 25 collaborators of M. Ehsan Shafiee. A scholar is included among the top collaborators of M. Ehsan Shafiee 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 M. Ehsan Shafiee. M. Ehsan Shafiee 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.
Dinmohammadi, Fateme, et al.. (2024). Bayesian neural networks for uncertainty quantification in remaining useful life prediction of systems with sensor monitoring. Advances in Mechanical Engineering. 16(7). 4 indexed citations
2.
Shafiee, M. Ehsan, Amin Rasekh, Lina Sela, & Ami Preis. (2020). Streaming Smart Meter Data Integration to Enable Dynamic Demand Assignment for Real-Time Hydraulic Simulation. Journal of Water Resources Planning and Management. 146(6). 18 indexed citations
3.
Berglund, Emily Zechman, Jorge E. Pesantez, Amin Rasekh, et al.. (2020). Review of Modeling Methodologies for Managing Water Distribution Security. Journal of Water Resources Planning and Management. 146(8). 1–23. 54 indexed citations
4.
Shafiee, M. Ehsan, et al.. (2019). Simulation of containment and wireless emergency alerts within targeted pressure zones for water contamination management. Sustainable Cities and Society. 52. 101820–101820. 21 indexed citations
5.
Raei, Ehsan, M. Ehsan Shafiee, Mohammad Reza Nikoo, & Emily Zechman Berglund. (2018). Placing an ensemble of pressure sensors for leak detection in water distribution networks under measurement uncertainty. Journal of Hydroinformatics. 21(2). 223–239. 30 indexed citations
6.
Shafiee, M. Ehsan, Emily Zechman Berglund, & Michael K. Lindell. (2018). An Agent-based Modeling Framework for Assessing the Public Health Protection of Water Advisories. Water Resources Management. 32(6). 2033–2059. 23 indexed citations
7.
Shafiee, M. Ehsan, et al.. (2017). Enhancing water system models by integrating big data. Sustainable Cities and Society. 37. 485–491. 43 indexed citations
8.
Shafiee, M. Ehsan & Emily Zechman Berglund. (2016). Agent-based modeling and evolutionary computation for disseminating public advisories about hazardous material emergencies. Computers Environment and Urban Systems. 57. 12–25. 16 indexed citations
9.
Shafiee, M. Ehsan, et al.. (2016). Agent-based modeling to simulate the dynamics of urban water supply: Climate, population growth, and water shortages. Sustainable Cities and Society. 28. 420–434. 80 indexed citations
10.
Shafiee, M. Ehsan, et al.. (2015). Parallel Evolutionary Algorithm for Designing Water Distribution Networks to Minimize Background Leakage. Journal of Water Resources Planning and Management. 142(5). 18 indexed citations
11.
Shafiee, M. Ehsan & Emily Zechman Berglund. (2014). Decision-Making Frameworks For Using Sensor Data And Evolutionary Algorithms To Flush A Contaminated Water Distribution System. CUNY Academic Works (City University of New York). 1 indexed citations
12.
Shafiee, M. Ehsan, et al.. (2014). A Complex Adaptive Systems Approach To Simulate Interactions Among Water Resources, Decision-Makers, And Consumers And Assess Urban Water Sustainability. 1 indexed citations
13.
Shafiee, M. Ehsan & Emily Zechman Berglund. (2014). Real-Time Guidance for Hydrant Flushing Using Sensor-Hydrant Decision Trees. Journal of Water Resources Planning and Management. 141(6). 21 indexed citations
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16.
Shafiee, M. Ehsan & Emily M. Zechman. (2013). An agent-based modeling framework for sociotechnical simulation of water distribution contamination events. Journal of Hydroinformatics. 15(3). 862–880. 48 indexed citations
17.
Zechman, Emily M., Marcio H. Giacomoni, & M. Ehsan Shafiee. (2013). An evolutionary algorithm approach to generate distinct sets of non-dominated solutions for wicked problems. Engineering Applications of Artificial Intelligence. 26(5-6). 1442–1457. 20 indexed citations
18.
Rasekh, Amin, M. Ehsan Shafiee, Emily M. Zechman, & Kelly Brumbelow. (2013). Sociotechnical risk assessment for water distribution system contamination threats. Journal of Hydroinformatics. 16(3). 531–549. 17 indexed citations
19.
Shafiee, M. Ehsan & Emily M. Zechman. (2012). Sociotechnical Simulation for Evaluating Adaptive Threat Response Actions for Water Distribution Contamination Events. World Environmental And Water Resources Congress 2012. 1. 3285–3291. 1 indexed citations
20.
Zechman, Emily M., Marcio H. Giacomoni, & M. Ehsan Shafiee. (2011). A multi-objective niching co-evolutionary algorithm (MNCA) for identifying diverse sets of non-dominated solutions. 805–806. 1 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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