Sara Behdad

4.4k total citations · 3 hit papers
117 papers, 3.2k citations indexed

About

Sara Behdad is a scholar working on Industrial and Manufacturing Engineering, Industrial and Manufacturing Engineering and Automotive Engineering. According to data from OpenAlex, Sara Behdad has authored 117 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Industrial and Manufacturing Engineering, 34 papers in Industrial and Manufacturing Engineering and 27 papers in Automotive Engineering. Recurrent topics in Sara Behdad's work include Manufacturing Process and Optimization (40 papers), Recycling and Waste Management Techniques (30 papers) and Sustainable Supply Chain Management (25 papers). Sara Behdad is often cited by papers focused on Manufacturing Process and Optimization (40 papers), Recycling and Waste Management Techniques (30 papers) and Sustainable Supply Chain Management (25 papers). Sara Behdad collaborates with scholars based in United States, Iran and Australia. Sara Behdad's co-authors include Behzad Esmaeilian, Ben Wang, Kemper Lewis, Joseph Sarkis, Ardeshir Raihanian Mashhadi, Mostafa Sabbaghi, Deborah Thurston, Willie Cade, Xiao Liang and Minghui Zheng and has published in prestigious journals such as Journal of Cleaner Production, Energy Policy and International Journal of Production Economics.

In The Last Decade

Sara Behdad

111 papers receiving 3.1k citations

Hit Papers

Blockchain for the future of sustainable supply chai... 2016 2026 2019 2022 2020 2016 2018 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
Sara Behdad United States 25 1.2k 1.2k 750 392 389 117 3.2k
Vladimir Šimić Serbia 39 504 0.4× 1.0k 0.9× 670 0.9× 284 0.7× 206 0.5× 257 4.3k
Dimitris Kiritsis Switzerland 36 2.9k 2.3× 865 0.7× 308 0.4× 249 0.6× 369 0.9× 179 5.1k
Ting Qu China 39 3.0k 2.4× 1.4k 1.2× 464 0.6× 154 0.4× 426 1.1× 188 5.6k
Tsai‐Chi Kuo Taiwan 36 1.2k 1.0× 2.5k 2.1× 568 0.8× 259 0.7× 143 0.4× 100 4.6k
Sergio Terzi Italy 32 1.7k 1.4× 2.5k 2.1× 846 1.1× 210 0.5× 145 0.4× 173 4.6k
Xiang Li China 37 1.4k 1.1× 1.5k 1.3× 301 0.4× 512 1.3× 161 0.4× 200 4.9k
Behzad Esmaeilian United States 12 590 0.5× 724 0.6× 402 0.5× 123 0.3× 309 0.8× 20 1.7k
Guangdong Tian China 46 2.7k 2.2× 1.1k 0.9× 435 0.6× 775 2.0× 195 0.5× 139 6.3k
Zhigang Jiang China 29 872 0.7× 857 0.7× 367 0.5× 223 0.6× 83 0.2× 123 2.6k
Marco Taisch Italy 29 1.9k 1.5× 1.4k 1.2× 236 0.3× 123 0.3× 200 0.5× 172 4.3k

Countries citing papers authored by Sara Behdad

Since Specialization
Citations

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

Fields of papers citing papers by Sara Behdad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sara Behdad

This figure shows the co-authorship network connecting the top 25 collaborators of Sara Behdad. A scholar is included among the top collaborators of Sara Behdad 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 Sara Behdad. Sara Behdad 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.
Esmaeilian, Behzad, et al.. (2026). Electric Vehicle Batteries Recycling: A Review. Waste Management. 212. 115302–115302.
2.
Chen, Yuhao, et al.. (2025). Forecasting the Range of Possible Human Hand Movement in Consumer Electronics Disassembly Using Machine Learning. Journal of Computing and Information Science in Engineering. 25(5).
3.
Smith, Rachel S. & Sara Behdad. (2025). From present to future: A review of e-waste recycling processes. Waste Management. 204. 114863–114863. 1 indexed citations
4.
Sabbaghi, Mostafa & Sara Behdad. (2024). Optimizing Design for Repairability: A Game Theoretic Approach for Incorporating Market Analysis. Journal of Mechanical Design. 147(7).
5.
Sabbaghi, Mostafa & Sara Behdad. (2024). Estimating energy left in discarded alkaline batteries: Evaluating consumption and recovery opportunities. Waste Management. 189. 58–67. 3 indexed citations
6.
Zhang, Xinyao, et al.. (2024). Multi-Task Learning for Intention and Trajectory Prediction in Human–Robot Collaborative Disassembly Tasks. Journal of Computing and Information Science in Engineering. 25(5).
9.
Lee, Meng-Lun, et al.. (2023). A Review of Prospects and Opportunities in Disassembly With Human–Robot Collaboration. Journal of Manufacturing Science and Engineering. 146(2). 26 indexed citations
10.
Chen, Yuhao, et al.. (2023). Human activity recognition in an end-of-life consumer electronics disassembly task. Applied Ergonomics. 113. 104090–104090. 9 indexed citations
11.
Banu, Mihaela, Sara Behdad, Daniel Cooper, et al.. (2023). Joint Special Issue: Advances in Design and Manufacturing for Sustainability. Journal of Mechanical Design. 146(2). 1 indexed citations
12.
Gopalakrishnan, Praveen Kumare, John Hall, & Sara Behdad. (2020). Cost analysis and optimization of Blockchain-based solid waste management traceability system. Waste Management. 120. 594–607. 92 indexed citations
13.
Esmaeilian, Behzad, Joseph Sarkis, Kemper Lewis, & Sara Behdad. (2020). Blockchain for the future of sustainable supply chain management in Industry 4.0. Resources Conservation and Recycling. 163. 105064–105064. 558 indexed citations breakdown →
14.
Gopalakrishnan, Praveen Kumare, et al.. (2019). A Decision-Making Framework for Blockchain Technology Selection. 3(2). 148–168. 2 indexed citations
16.
Sabbaghi, Mostafa, et al.. (2018). The Global Flow of Hard Disk Drives: Quantifying the Concept of Value Leakage in E‐waste Recovery Systems. Journal of Industrial Ecology. 23(3). 560–573. 16 indexed citations
17.
Esmaeilian, Behzad, Ben Wang, Kemper Lewis, et al.. (2018). The future of waste management in smart and sustainable cities: A review and concept paper. Waste Management. 81. 177–195. 313 indexed citations breakdown →
18.
Anagnostopoulos, Theodoros, et al.. (2018). A stochastic optimization framework for planning of waste collection and value recovery operations in smart and sustainable cities. Waste Management. 78. 104–114. 72 indexed citations
19.
Mashhadi, Ardeshir Raihanian & Sara Behdad. (2017). Environmental Impact Assessment of the Heterogeneity in Consumers’ Usage Behavior: An Agent‐Based Modeling Approach. Journal of Industrial Ecology. 22(4). 706–719. 29 indexed citations
20.
Sabbaghi, Mostafa, Behzad Esmaeilian, Ardeshir Raihanian Mashhadi, Sara Behdad, & Willie Cade. (2014). An investigation of used electronics return flows: A data-driven approach to capture and predict consumers storage and utilization behavior. Waste Management. 36. 305–315. 47 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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