Mohammad Noaeen

483 total citations · 1 hit paper
17 papers, 273 citations indexed

About

Mohammad Noaeen is a scholar working on Transportation, Building and Construction and Control and Systems Engineering. According to data from OpenAlex, Mohammad Noaeen has authored 17 papers receiving a total of 273 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Transportation, 4 papers in Building and Construction and 3 papers in Control and Systems Engineering. Recurrent topics in Mohammad Noaeen's work include Transportation Planning and Optimization (5 papers), Traffic Prediction and Management Techniques (4 papers) and Machine Learning in Healthcare (3 papers). Mohammad Noaeen is often cited by papers focused on Transportation Planning and Optimization (5 papers), Traffic Prediction and Management Techniques (4 papers) and Machine Learning in Healthcare (3 papers). Mohammad Noaeen collaborates with scholars based in Canada, Australia and United States. Mohammad Noaeen's co-authors include Behrouz H. Far, Zahra Shakeri Hossein Abad, Ana L. C. Bazzan, Zahra Shakeri Hossein Abad, Guenther Ruhe, Reza Mohajerpoor, Mohsen Ramezani, Madeena Sultana, Filipe R. Lucini and Joon Lee and has published in prestigious journals such as Expert Systems with Applications, Transportation Research Part C Emerging Technologies and npj Digital Medicine.

In The Last Decade

Mohammad Noaeen

16 papers receiving 267 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Reinforcement learning in urban network traffic signal control: A systematic literature review

2022 133 citations Mohammad Noaeen, Zahra Shakeri Hossein Abad et al. Expert Systems with Applications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mohammad Noaeen Canada	6	136	105	75	42	38	17	273
Alessandra Pascale Ireland	10	73 0.5×	146 1.4×	123 1.6×	25 0.6×	52 1.4×	26	333
Michael Guckert Germany	8	31 0.2×	26 0.2×	38 0.5×	70 1.7×	34 0.9×	36	288
Joakim Ekström Sweden	11	109 0.8×	84 0.8×	150 2.0×	16 0.4×	80 2.1×	36	344
Mingfeng Shang United States	9	208 1.5×	73 0.7×	109 1.5×	13 0.3×	162 4.3×	24	317
Ziyue Li China	10	43 0.3×	143 1.4×	83 1.1×	81 1.9×	13 0.3×	37	281
Michael L. Pack United States	10	17 0.1×	87 0.8×	97 1.3×	41 1.0×	11 0.3×	31	267
Tanuja Ganu India	12	65 0.5×	65 0.6×	7 0.1×	82 2.0×	27 0.7×	32	371
Yoni Nazarathy Australia	11	61 0.4×	34 0.3×	57 0.8×	12 0.3×	14 0.4×	43	290
Daniel Thomas United Kingdom	13	41 0.3×	24 0.2×	29 0.4×	92 2.2×	7 0.2×	22	459
David Fajardo Australia	8	212 1.6×	129 1.2×	199 2.7×	11 0.3×	119 3.1×	13	361

Countries citing papers authored by Mohammad Noaeen

Since Specialization

Citations

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

Fields of papers citing papers by Mohammad Noaeen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad Noaeen

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Noaeen. A scholar is included among the top collaborators of Mohammad Noaeen 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 Mohammad Noaeen. Mohammad Noaeen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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17 of 17 papers shown

Doiron, Dany, Eleanor Setton, Mohammad Noaeen, et al.. (2024). HealthyPlan.City: A Web Tool to Support Urban Environmental Equity and Public Health in Canadian Communities. Journal of Urban Health. 101(3). 497–507. 5 indexed citations

Noaeen, Mohammad, et al.. (2024). Predicting Donor Selection and Multi-Organ Transplantation within Organ Procurement Organizations Using Machine Learning. PubMed. 2024. 1–4. 1 indexed citations

Guergachi, Aziz, et al.. (2024). Predicting Time to Diabetes Diagnosis Using Random Survival Forests. PubMed. 2024. 1–4. 3 indexed citations

Guergachi, Aziz, et al.. (2024). Identifying Prediabetes in Canadian Populations Using Machine Learning. PubMed. 2024. 1–4. 2 indexed citations

Tran, Son N., et al.. (2024). Predicting Diabetes in Canadian Adults Using Machine Learning. PubMed. 2024. 1–4. 2 indexed citations

Noaeen, Mohammad, et al.. (2024). Advancing Population Health Through Open Environmental Data Platforms. Current topics in behavioral neurosciences. 68. 297–323. 1 indexed citations

Noaeen, Mohammad, et al.. (2023). Perimeter Control Using Deep Reinforcement Learning: A Model-Free Approach Towards Homogeneous Flow Rate Optimization. 1474–1479. 2 indexed citations

Noaeen, Mohammad, et al.. (2023). Unlocking the Power of EHRs: Harnessing Unstructured Data for Machine Learning-based Outcome Predictions. PubMed. 2023. 1–4. 5 indexed citations

Noaeen, Mohammad, et al.. (2022). Reinforcement learning in urban network traffic signal control: A systematic literature review. Expert Systems with Applications. 199. 116830–116830. 133 indexed citations breakdown →

10.

Abad, Zahra Shakeri Hossein, Adrienne Kline, Madeena Sultana, et al.. (2021). Digital public health surveillance: a systematic scoping review. npj Digital Medicine. 4(1). 41–41. 43 indexed citations

11.

Noaeen, Mohammad, Reza Mohajerpoor, Behrouz H. Far, & Mohsen Ramezani. (2021). Real-time decentralized traffic signal control for congested urban networks considering queue spillbacks. Transportation Research Part C Emerging Technologies. 133. 103407–103407. 26 indexed citations

12.

Noaeen, Mohammad & Behrouz H. Far. (2020). The Efficacy of Using Social Media Data for Designing Traffic Management Systems. 11–17. 3 indexed citations

13.

Noaeen, Mohammad & Behrouz H. Far. (2019). Social media analysis for traffic management. 72–73. 5 indexed citations

14.

Abad, Zahra Shakeri Hossein, Mohammad Noaeen, Didar Zowghi, Behrouz H. Far, & Ken Barker. (2018). Two Sides of the Same Coin. UTS ePRESS (University of Technology Sydney). 175–180. 7 indexed citations

15.

Noaeen, Mohammad, Amir Abbas Rassafi, & Behrouz H. Far. (2016). Traffic Signal Timing Optimization by Modelling the Lost Time Effect in the Shock Wave Delay Model. 397–408. 6 indexed citations

16.

Noaeen, Mohammad, et al.. (2016). Exploring the Residual Queue Length Equation in the Shock Wave Model. RePEc: Research Papers in Economics. 2 indexed citations

17.

Abad, Zahra Shakeri Hossein, Mohammad Noaeen, & Guenther Ruhe. (2016). Requirements Engineering Visualization: A Systematic Literature Review. 6–15. 27 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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