Daniel Barkmeier
- Psychiatry and Mental health top 10%
- Epilepsy research and treatment 5
- Cognitive Neuroscience top 10%
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- Neuroscience and Neuropharmacology Research 5
- Neuroscience and Neural Engineering 2
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- Radiomics and Machine Learning in Medical Imaging 2
- MRI in cancer diagnosis 2
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- Renal cell carcinoma treatment 3
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- Bladder and Urothelial Cancer Treatments 2
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- COVID-19 and healthcare impacts 1
- Co-authors
- Jeffrey A. LoebAashit ShahDarren R. FuerstMatthew S. DavenportKourosh Jafari‐KhouzaniJing HuaDanny FlanaganRajeev Agarwal
- Partner nations
- United StatesCanadaBulgaria
In The Last Decade
Daniel Barkmeier
14 papers receiving 409 citations
Peers
Comparison fields: 5 of 68
- Health Informatics 11
- Psychiatry and Mental health 99
- Cognitive Neuroscience 104
- Cellular and Molecular Neuroscience 93
- Radiology, Nuclear Medicine and Imaging 102
Countries citing papers authored by Daniel Barkmeier
This map shows the geographic impact of Daniel Barkmeier'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 Daniel Barkmeier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Barkmeier more than expected).
Fields of papers citing papers by Daniel Barkmeier
This network shows the impact of papers produced by Daniel Barkmeier. 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 Daniel Barkmeier. The network helps show where Daniel Barkmeier may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel Barkmeier, 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 | 2022 | 36 | |
| 2 | 2022 | 15 | |
| 3 | 2021 | 20 | |
| 4 | 2020 | 9 | |
| 5 | 2020 | 13 | |
| 6 | 2018 | 16 | |
| 7 | 2018 | 50 | |
| 8 | 2015 | 55 | |
| 9 | 2015 | 42 | |
| 10 | 2013 | 7 | |
| 11 | 2012 | 36 | |
| 12 | 2011 | 79 | |
| 13 | The interictal state in epilepsy and behavior | 2010 | 1 |
| 14 | 2009 | 37 |
About Daniel Barkmeier
Daniel Barkmeier is a scholar working on Psychiatry and Mental health, Cellular and Molecular Neuroscience, Radiology, Nuclear Medicine and Imaging, Hepatology and Statistics and Probability, having authored 14 papers that have together received 416 indexed citations. Recurring topics across this work include Epilepsy research and treatment (5 papers), Neuroscience and Neuropharmacology Research (5 papers), Renal cell carcinoma treatment (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), MRI in cancer diagnosis (2 papers), Bladder and Urothelial Cancer Treatments (2 papers), Neuroscience and Neural Engineering (2 papers) and COVID-19 and healthcare impacts (1 paper). The work is most often cited by research in Health Informatics (11 citations), Psychiatry and Mental health (99 citations), Cognitive Neuroscience (104 citations), Cellular and Molecular Neuroscience (93 citations) and Radiology, Nuclear Medicine and Imaging (102 citations). Daniel Barkmeier has collaborated with scholars based in United States, Canada and Bulgaria. Frequent co-authors include Jeffrey A. Loeb, Aashit Shah, Darren R. Fuerst, Matthew S. Davenport, Kourosh Jafari‐Khouzani, Jing Hua, Danny Flanagan, Rajeev Agarwal, Darshan Pai and Prasad R. Shankar. Their work appears in journals such as Radiology, Clinical Neurophysiology, EJNMMI Physics, Epilepsia and Academic Radiology.
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.