Mihai Giurcanu
- Biotechnology top 5%
- Listeria monocytogenes in Food Safety 6
- Insect Science top 5%
- Statistics and Probability top 5%
- Statistical Methods and Inference 12
- Statistical Methods and Bayesian Inference 6
- Advanced Statistical Methods and Models 6
- Agronomy and Crop Science top 10%
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- MRI in cancer diagnosis 7
- Advanced MRI Techniques and Applications 6
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- Acute Ischemic Stroke Management 5
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- Bayesian Methods and Mixture Models 4
- Co-authors
- Hugh A. SmithMax TeplitskiMassimiliano MarvasiGeorge HochmuthA.T. AdesoganK.G. ArriolaI.J. LeanAndré Soares de Oliveira
- Journals
- JAMA (1 paper)SHILAP Revista de lepidopterología (2 papers)PLoS ONE (1 paper)
- Partner nations
- United StatesEgyptUnited Kingdom
In The Last Decade
Mihai Giurcanu
57 papers receiving 646 citations
Peers
Comparison fields: 5 of 131
- Biotechnology 95
- Insect Science 112
- Horticulture 6
- Statistics and Probability 49
- Agronomy and Crop Science 58
Countries citing papers authored by Mihai Giurcanu
This map shows the geographic impact of Mihai Giurcanu'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 Mihai Giurcanu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mihai Giurcanu more than expected).
Fields of papers citing papers by Mihai Giurcanu
This network shows the impact of papers produced by Mihai Giurcanu. 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 Mihai Giurcanu. The network helps show where Mihai Giurcanu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mihai Giurcanu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2026 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 2 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 6 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 3 | |
| 9 | 2023 | 10 | |
| 10 | 2023 | 2 | |
| 11 | 2022 | 15 | |
| 12 | 2022 | 1 | |
| 13 | 2021 | 10 | |
| 14 | 2021 | 6 | |
| 15 | 2021 | 7 | |
| 16 | 2018 | 10 | |
| 17 | 2014 | 11 | |
| 18 | 2014 | 14 | |
| 19 | 2014 | 14 | |
| 20 | 2012 | 6 |
About Mihai Giurcanu
Mihai Giurcanu is a scholar working on Statistics and Probability, Biotechnology and Radiology, Nuclear Medicine and Imaging, having authored 62 papers that have together received 662 indexed citations. Recurring topics across this work include Statistical Methods and Inference (12 papers), MRI in cancer diagnosis (7 papers), Statistical Methods and Bayesian Inference (6 papers), Advanced Statistical Methods and Models (6 papers), Advanced MRI Techniques and Applications (6 papers), Listeria monocytogenes in Food Safety (6 papers), Acute Ischemic Stroke Management (5 papers) and Bayesian Methods and Mixture Models (4 papers). The work is most often cited by research in Biotechnology (95 citations), Insect Science (112 citations) and Horticulture (6 citations). Mihai Giurcanu has collaborated with scholars based in United States, Egypt and United Kingdom. Frequent co-authors include Hugh A. Smith, Max Teplitski, Massimiliano Marvasi, George Hochmuth, A.T. Adesogan, K.G. Arriola, I.J. Lean, André Soares de Oliveira, Ganyu Gu and Anita C. Wright. Their work appears in journals such as JAMA, SHILAP Revista de lepidopterología and PLoS ONE.
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.