Lena Schmidt
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- Glioma Diagnosis and Treatment
Papers in
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- Biomedical Text Mining and Ontologies 8
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- Suicide and Self-Harm Studies 7
- COVID-19 and Mental Health 7
- Co-authors
- Julian P. T. Higgins (17 shared papers)Luke A. McGuinness (9 shared papers)Babatunde Kazeem Olorisade (4 shared papers)James Thomas (3 shared papers)Roger T. Webb (8 shared papers)Duleeka Knipe (8 shared papers)David Gunnell (8 shared papers)Ann John (8 shared papers)
- Journals
- Cochrane Database of Systematic Reviews (3 papers)F1000Research (3 papers)BMJ Open (1 paper)Research Synthesis Methods (1 paper)The Canadian Journal of Psychiatry (1 paper)
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
Lena Schmidt
27 papers receiving 373 citations
Peers
Comparison fields: 5 of 110
- Health Informatics 24
- Genetics 77
- Statistics, Probability and Uncertainty 45
- Biological Psychiatry 14
- Clinical Psychology 94
Countries citing papers authored by Lena Schmidt
This map shows the geographic impact of Lena Schmidt'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 Lena Schmidt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lena Schmidt more than expected).
Fields of papers citing papers by Lena Schmidt
This network shows the impact of papers produced by Lena Schmidt. 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 Lena Schmidt. The network helps show where Lena Schmidt may publish in the future.
Co-authors
The 25 scholars most cited alongside Lena Schmidt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 56 | |
| 2 | 2021 | 39 | |
| 3 | 2022 | 32 | |
| 4 | 2022 | 26 | |
| 5 | 2021 | 25 | |
| 6 | 2020 | 24 | |
| 7 | 2019 | 19 | |
| 8 | 2021 | 18 | |
| 9 | 2020 | 18 | |
| 10 | 2020 | 16 | |
| 11 | 2021 | 15 | |
| 12 | 2022 | 15 | |
| 13 | 2023 | 14 | |
| 14 | 2020 | 12 | |
| 15 | 2022 | 12 | |
| 16 | 2020 | 8 | |
| 17 | 2021 | 8 | |
| 18 | 2022 | 7 | |
| 19 | 2020 | 3 | |
| 20 | 2022 | 3 |
About Lena Schmidt
Lena Schmidt is a scholar working on Molecular Biology, Clinical Psychology, Statistics, Probability and Uncertainty, Genetics and Information Systems and Management, having authored 29 papers that have together received 380 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (8 papers), Suicide and Self-Harm Studies (7 papers), COVID-19 and Mental Health (7 papers), Meta-analysis and systematic reviews (6 papers), Glioma Diagnosis and Treatment (4 papers), scientometrics and bibliometrics research (3 papers), COVID-19 and healthcare impacts (3 papers) and Long-Term Effects of COVID-19 (2 papers). The work is most often cited by research in Health Informatics (24 citations), Genetics (77 citations), Statistics, Probability and Uncertainty (45 citations), Biological Psychiatry (14 citations) and Clinical Psychology (94 citations). Lena Schmidt has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Julian P. T. Higgins, Luke A. McGuinness, Babatunde Kazeem Olorisade, James Thomas, Roger T. Webb, Duleeka Knipe, David Gunnell, Ann John, Emily Eyles and Sarah Jefferies. Their work appears in journals such as Cochrane Database of Systematic Reviews, F1000Research, BMJ Open, Research Synthesis Methods and The Canadian Journal of Psychiatry.
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.