Abeer J. Hani
- Cognitive Neuroscience top 5%
- Psychiatry and Mental health top 10%
- Cellular and Molecular Neuroscience
- Cardiology and Cardiovascular Medicine
- Pediatrics, Perinatology and Child Health
- Co-authors
- Jayant N. AcharyaTammy N. TsuchidaJanna CheekPartha ThirumalaParthasarathy D. ThirumalaDaniel San‐JuanSaurabh R. SinhaKeith Dombrowski
- Topics
- Epilepsy research and treatment (8 papers)EEG and Brain-Computer Interfaces (6 papers)Cardiovascular Syncope and Autonomic Disorders (4 papers)
- Journals
- Clinical NeurophysiologyJournal of Clinical NeurophysiologyPediatric Clinics of North America
- Partner nations
- LebanonUnited StatesMexico
In The Last Decade
Abeer J. Hani
12 papers receiving 568 citations
Peers
Comparison fields: 5 of 85
- Cognitive Neuroscience 368
- Psychiatry and Mental health 180
- Cellular and Molecular Neuroscience 92
- Cardiology and Cardiovascular Medicine 69
- Pediatrics, Perinatology and Child Health 65
Countries citing papers authored by Abeer J. Hani
This map shows the geographic impact of Abeer J. Hani'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 Abeer J. Hani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abeer J. Hani more than expected).
Fields of papers citing papers by Abeer J. Hani
This network shows the impact of papers produced by Abeer J. Hani. 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 Abeer J. Hani. The network helps show where Abeer J. Hani may publish in the future.
Co-authorship network of co-authors of Abeer J. Hani
This figure shows the co-authorship network connecting the top 25 collaborators of Abeer J. Hani. A scholar is included among the top collaborators of Abeer J. Hani 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 Abeer J. Hani. Abeer J. Hani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 9 | |
| 5 | 38 | |
| 6 | 19 | |
| 7 | 176 | |
| 8 | 52 | |
| 9 | 85 | |
| 10 | 152 | |
| 11 | 15 | |
| 12 | 17 | |
| 13 | 12 |
About Abeer J. Hani
Abeer J. Hani is a scholar working on Psychiatry and Mental health, Cognitive Neuroscience and Pediatrics, Perinatology and Child Health, having authored 13 papers that have together received 578 indexed citations. Recurring topics across this work include Epilepsy research and treatment (8 papers), EEG and Brain-Computer Interfaces (6 papers) and Cardiovascular Syncope and Autonomic Disorders (4 papers). The work is most often cited by research in Cognitive Neuroscience (368 citations), Psychiatry and Mental health (180 citations) and Cellular and Molecular Neuroscience (92 citations). Abeer J. Hani has collaborated with scholars based in Lebanon, United States and Mexico. Frequent co-authors include Jayant N. Acharya, Tammy N. Tsuchida, Janna Cheek, Partha Thirumala, Parthasarathy D. Thirumala, Daniel San‐Juan, Saurabh R. Sinha, Keith Dombrowski, Dragos Sabau and Jonathan J. Halford. Their work appears in journals such as Clinical Neurophysiology, Journal of Clinical Neurophysiology and Pediatric Clinics of North America.
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.