Mohammad Noaeen

516 citations
18 papers · 301 · 1 hit paper · h-index 7

Impact in

Papers in

Mohammad Noaeen

16 papers receiving 294 citations

Mohammad Noaeen's Hit Papers

Reinforcement learning in urban network traffic signal control: A systematic literature review 2022 · 148 citations
1480+1+2Years since publication4080120

Peers

Mohammad Noaeen
Comparison fields: 5 of 62
  • Transportation 76
  • Building and Construction 109
  • Control and Systems Engineering 145
  • Automotive Engineering 41
  • Health Informatics 3
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Mohammad Noaeen relative to Francois Belletti United States Francois Belletti's profile →
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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-authors

The 25 scholars most cited alongside Mohammad Noaeen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mohammad Noaeen Line = papers co-authored together Mohammad Noaeen links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1
Reinforcement learning in urban network traffic signal control: A systematic literature review
Hit paper breakdown →
2022148
2 202151
3 201628
4 202128
5 20187
6 20246
7 20166
8 20195
9 20235
10 20243
11 20203
12 20242
13 20242
14 20162
15 20242
16 20232
17 20241
18 20260

About Mohammad Noaeen

Mohammad Noaeen is a scholar working on Transportation, Building and Construction, Control and Systems Engineering, Health, Toxicology and Mutagenesis and Artificial Intelligence, having authored 18 papers that have together received 301 indexed citations. Recurring topics across this work include Transportation Planning and Optimization (5 papers), Traffic Prediction and Management Techniques (4 papers), Diabetes Management and Research (3 papers), Machine Learning in Healthcare (3 papers), Traffic control and management (3 papers), Climate Change and Health Impacts (2 papers), Air Quality and Health Impacts (2 papers) and Human Mobility and Location-Based Analysis (2 papers). The work is most often cited by research in Transportation (76 citations), Building and Construction (109 citations), Control and Systems Engineering (145 citations), Automotive Engineering (41 citations) and Health Informatics (3 citations). Mohammad Noaeen has collaborated with scholars based in Canada, Iran and United States. Frequent co-authors include Zahra Shakeri Hossein Abad, Behrouz H. Far, Ana L. C. Bazzan, Guenther Ruhe, Reza Mohajerpoor, Mohsen Ramezani, Madeena Sultana, Joon Lee, Adrienne Kline and Filipe R. Lucini. Their work appears in journals such as npj Digital Medicine, Journal of Urban Health, Current topics in behavioral neurosciences, Transportation Research Part C Emerging Technologies and Expert Systems with Applications.

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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