Daniel Barkmeier
Impact in
- Psychiatry and Mental health top 10%
- Epilepsy research and treatment
Papers in
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- Epilepsy research and treatment 4
-
- Neuroscience and Neuropharmacology Research 3
- Neuroscience and Neural Engineering 1
- Co-authors
- Jeffrey A. Loeb (5 shared papers)Aashit Shah (3 shared papers)Darren R. Fuerst (2 shared papers)Matthew S. Davenport (5 shared papers)Jing Hua (2 shared papers)Darshan Pai (2 shared papers)Prasad R. Shankar (4 shared papers)Danny Flanagan (1 shared paper)
- Journals
- Clinical Neurophysiology (2 papers)Radiology (2 papers)Epilepsia (1 paper)Clinical EEG and Neuroscience (1 paper)Neurobiology of Disease (1 paper)
- Partner nations
- United StatesBulgariaCanada
In The Last Decade
Daniel Barkmeier
14 papers receiving 430 citations
Peers
Comparison fields: 5 of 63
- Psychiatry and Mental health 85
- Health Informatics 8
- Cellular and Molecular Neuroscience 71
- Cognitive Neuroscience 73
- Radiology, Nuclear Medicine and Imaging 57
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-authors
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 | 2011 | 80 | |
| 2 | 2015 | 57 | |
| 3 | 2015 | 52 | |
| 4 | 2018 | 50 | |
| 5 | 2022 | 40 | |
| 6 | 2012 | 38 | |
| 7 | 2009 | 37 | |
| 8 | 2021 | 22 | |
| 9 | 2022 | 17 | |
| 10 | 2018 | 16 | |
| 11 | 2020 | 14 | |
| 12 | 2013 | 9 | |
| 13 | 2020 | 9 | |
| 14 | The interictal state in epilepsy and behavior | 2010 | 1 |
About Daniel Barkmeier
Daniel Barkmeier is a scholar working on Psychiatry and Mental health, Cellular and Molecular Neuroscience, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Surgery, having authored 14 papers that have together received 442 indexed citations. Recurring topics across this work include Epilepsy research and treatment (4 papers), Renal cell carcinoma treatment (3 papers), Neuroscience and Neuropharmacology Research (3 papers), MRI in cancer diagnosis (2 papers), Bladder and Urothelial Cancer Treatments (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Neuroscience and Neural Engineering (1 paper) and Hepatocellular Carcinoma Treatment and Prognosis (1 paper). The work is most often cited by research in Psychiatry and Mental health (85 citations), Health Informatics (8 citations), Cellular and Molecular Neuroscience (71 citations), Cognitive Neuroscience (73 citations) and Radiology, Nuclear Medicine and Imaging (57 citations). Daniel Barkmeier has collaborated with scholars based in United States, Bulgaria and Canada. Frequent co-authors include Jeffrey A. Loeb, Aashit Shah, Darren R. Fuerst, Matthew S. Davenport, Jing Hua, Darshan Pai, Prasad R. Shankar, Danny Flanagan, Rajeev Agarwal and Kourosh Jafari‐Khouzani. Their work appears in journals such as Clinical Neurophysiology, Radiology, Epilepsia, Clinical EEG and Neuroscience and Neurobiology of Disease.
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.