Nita Yodo

3.0k total citations · 2 hit papers
62 papers, 2.1k citations indexed

About

Nita Yodo is a scholar working on Civil and Structural Engineering, Statistics, Probability and Uncertainty and Mechanical Engineering. According to data from OpenAlex, Nita Yodo has authored 62 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Civil and Structural Engineering, 20 papers in Statistics, Probability and Uncertainty and 16 papers in Mechanical Engineering. Recurrent topics in Nita Yodo's work include Risk and Safety Analysis (18 papers), Infrastructure Resilience and Vulnerability Analysis (17 papers) and Occupational Health and Safety Research (11 papers). Nita Yodo is often cited by papers focused on Risk and Safety Analysis (18 papers), Infrastructure Resilience and Vulnerability Analysis (17 papers) and Occupational Health and Safety Research (11 papers). Nita Yodo collaborates with scholars based in United States, Peru and Ecuador. Nita Yodo's co-authors include Arup Dey, Tanzina Afrin, Pingfeng Wang, Ying Huang, Zhi Zhou, David Hoffman, Om Prakash Yadav, Chiwon W. Lee, David Grewell and Seyedmohsen Hosseini and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Environmental Management.

In The Last Decade

Nita Yodo

59 papers receiving 2.1k citations

Hit Papers

A Systematic Survey of FD... 2019 2026 2021 2023 2019 2020 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nita Yodo United States 21 903 439 396 393 376 62 2.1k
Mohammad Marufuzzaman United States 29 734 0.8× 293 0.7× 569 1.4× 191 0.5× 182 0.5× 72 3.1k
Seung-Kyum Choi United States 25 535 0.6× 781 1.8× 1.2k 2.9× 274 0.7× 228 0.6× 98 2.8k
Marco Pierini Italy 26 860 1.0× 300 0.7× 462 1.2× 204 0.5× 117 0.3× 125 2.0k
Hossam A. Gabbar Canada 25 563 0.6× 181 0.4× 430 1.1× 1.0k 2.6× 196 0.5× 265 3.0k
Limin Jia China 31 192 0.2× 614 1.4× 997 2.5× 746 1.9× 262 0.7× 262 3.3k
Liping Fu Canada 33 676 0.7× 429 1.0× 351 0.9× 490 1.2× 1.1k 2.9× 115 2.9k
Gabriël Lodewijks Netherlands 33 317 0.4× 425 1.0× 1.4k 3.5× 790 2.0× 388 1.0× 235 3.9k
Zuomin Dong Canada 29 860 1.0× 138 0.3× 556 1.4× 307 0.8× 59 0.2× 132 2.6k
Qiang Feng China 32 521 0.6× 327 0.7× 317 0.8× 645 1.6× 49 0.1× 158 3.0k
Yongsheng Ma Canada 35 999 1.1× 946 2.2× 1.1k 2.7× 169 0.4× 501 1.3× 183 3.9k

Countries citing papers authored by Nita Yodo

Since Specialization
Citations

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

Fields of papers citing papers by Nita Yodo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nita Yodo

This figure shows the co-authorship network connecting the top 25 collaborators of Nita Yodo. A scholar is included among the top collaborators of Nita Yodo 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 Nita Yodo. Nita Yodo 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.
Wood, M. Karl, Peiwen Lu, Nita Yodo, Xinyi Yang, & Peter G. Oduor. (2025). Multidimensional impacts of oil spills in transit: An overview of trend analysis, remediation strategies, and community resilience. Journal of Environmental Management. 393. 127185–127185.
2.
Afrin, Tanzina, Nita Yodo, & Ying Huang. (2025). AI-Driven Framework for Predicting Oil Pipeline Failure Causes Based on Leak Properties and Financial Impact. Journal of Pipeline Systems Engineering and Practice. 16(2). 1 indexed citations
3.
4.
Dey, Arup, et al.. (2024). Location Optimization Strategies for Corn Production and Distribution towards Sustainable Green Supply Chain. SHILAP Revista de lepidopterología. 8(3). 78–78. 1 indexed citations
5.
Yodo, Nita, et al.. (2024). Optimizing natural gas pipeline risk assessment using hybrid fuzzy bayesian networks and expert elicitation for effective decision-making strategies. Gas Science and Engineering. 125. 205283–205283. 22 indexed citations
6.
Dey, Arup, Monsuru Ramoni, & Nita Yodo. (2024). A Survey on Fused Filament Fabrication to Produce Functionally Gradient Materials. Materials. 17(15). 3675–3675. 7 indexed citations
7.
Afrin, Tanzina, et al.. (2024). Advancements in UAV-Enabled Intelligent Transportation Systems: A Three-Layered Framework and Future Directions. Applied Sciences. 14(20). 9455–9455. 2 indexed citations
8.
Dey, Arup, Md. Mahbubur Rahman, Nita Yodo, & David Grewell. (2023). Development of biocomposite filament for fused filament fabrication from soy hulls and soy protein isolate. Materials Today Communications. 34. 105316–105316. 11 indexed citations
9.
Afrin, Tanzina, et al.. (2023). Sustainable Development for Oil and Gas Infrastructure from Risk, Reliability, and Resilience Perspectives. Sustainability. 15(6). 4953–4953. 35 indexed citations
10.
Shang, Li, Zi Zhang, Fujian Tang, et al.. (2023). Deep Learning Enriched Automation in Damage Detection for Sustainable Operation in Pipelines with Welding Defects under Varying Embedment Conditions. Computation. 11(11). 218–218. 12 indexed citations
11.
Dey, Arup, Nita Yodo, Om Prakash Yadav, Ragavanantham Shanmugam, & Monsuru Ramoni. (2023). Addressing Uncertainty in Tool Wear Prediction with Dropout-Based Neural Network. Computers. 12(9). 187–187. 3 indexed citations
12.
Dey, Arup, et al.. (2023). A Performance Study on 3D-Printed Bioplastic Pots from Soybean By-Products. Sustainability. 15(13). 10535–10535. 14 indexed citations
13.
Afrin, Tanzina, et al.. (2023). An Integrated Data-Driven Predictive Resilience Framework for Disaster Evacuation Traffic Management. Applied Sciences. 13(11). 6850–6850. 4 indexed citations
14.
Huang, Ying, et al.. (2023). A Quantitative Approach of Measuring Sustainability Risk in Pipeline Infrastructure Systems. Sustainability. 15(19). 14229–14229. 7 indexed citations
16.
Afrin, Tanzina & Nita Yodo. (2021). A probabilistic estimation of traffic congestion using Bayesian network. Measurement. 174. 109051–109051. 35 indexed citations
17.
Yodo, Nita, et al.. (2019). A Data-Driven Predictive Prognostic Model for Lithium-ion Batteries based on a Deep Learning Algorithm. Energies. 12(4). 660–660. 230 indexed citations
18.
Afrin, Tanzina & Nita Yodo. (2019). Resilience Assessment of Repair Strategies Against Localized Attacks for Infrastructure Protection. 6. 1–7. 5 indexed citations
19.
Yodo, Nita & Pingfeng Wang. (2016). Resilience Analysis for Complex Supply Chain Systems Using Bayesian Networks. 54th AIAA Aerospace Sciences Meeting. 12 indexed citations
20.
Hosseini, Seyedmohsen, Nita Yodo, & Pingfeng Wang. (2014). Resilience Modeling and Quantification for Design of Complex Engineered Systems Using Bayesian Networks. 14 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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