Milad Memarzadeh
- Civil and Structural Engineering top 5%
- Artificial Intelligence top 10%
- Building and Construction top 5%
- Radiological and Ultrasound Technology top 2%
- Statistics, Probability and Uncertainty top 2%
- Co-authors
- Matteo PozziMani Golparvar‐FardJuan Carlos NieblesBryan MatthewsSassan AflakiCarl BoettigerJ. Zico KolterThomas Templin
- Topics
- Infrastructure Maintenance and Monitoring (7 papers)Anomaly Detection Techniques and Applications (7 papers)Risk and Safety Analysis (6 papers)
- Journals
- Proceedings of the National Academy of SciencesThe American NaturalistConstruction and Building Materials
- Partner nations
- United StatesIranColombia
In The Last Decade
Milad Memarzadeh
37 papers receiving 803 citations
Peers
Comparison fields: 5 of 94
- Civil and Structural Engineering 318
- Artificial Intelligence 144
- Building and Construction 132
- Radiological and Ultrasound Technology 128
- Statistics, Probability and Uncertainty 118
Countries citing papers authored by Milad Memarzadeh
This map shows the geographic impact of Milad Memarzadeh'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 Milad Memarzadeh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Milad Memarzadeh more than expected).
Fields of papers citing papers by Milad Memarzadeh
This network shows the impact of papers produced by Milad Memarzadeh. 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 Milad Memarzadeh. The network helps show where Milad Memarzadeh may publish in the future.
Co-authorship network of co-authors of Milad Memarzadeh
This figure shows the co-authorship network connecting the top 25 collaborators of Milad Memarzadeh. A scholar is included among the top collaborators of Milad Memarzadeh 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 Milad Memarzadeh. Milad Memarzadeh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 19 | |
| 9 | 5 | |
| 10 | 5 | |
| 11 | 71 | |
| 12 | 39 | |
| 13 | 13 | |
| 14 | 16 | |
| 15 | 17 | |
| 16 | Probabilistic Learning and Planning for Optimal Management of Wind Farms | 1 |
| 17 | 26 | |
| 18 | 203 | |
| 19 | 23 | |
| 20 | 52 |
About Milad Memarzadeh
Milad Memarzadeh is a scholar working on Statistics, Probability and Uncertainty, Geology and Safety, Risk, Reliability and Quality, having authored 40 papers that have together received 830 indexed citations. Recurring topics across this work include Infrastructure Maintenance and Monitoring (7 papers), Anomaly Detection Techniques and Applications (7 papers) and Risk and Safety Analysis (6 papers). The work is most often cited by research in Radiological and Ultrasound Technology (128 citations), Geology (93 citations) and Statistics, Probability and Uncertainty (118 citations). Milad Memarzadeh has collaborated with scholars based in United States, Iran and Colombia. Frequent co-authors include Matteo Pozzi, Mani Golparvar‐Fard, Juan Carlos Niebles, Bryan Matthews, Sassan Aflaki, Carl Boettiger, J. Zico Kolter, Thomas Templin, Boris Worm and Arsalan Heydarian. Their work appears in journals such as Proceedings of the National Academy of Sciences, The American Naturalist and Construction and Building Materials.
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.