Shiva Khoshnoud
- Cognitive Neuroscience top 10%
- Psychiatry and Mental health top 10%
- Cardiology and Cardiovascular Medicine
- Developmental and Educational Psychology
- Human-Computer Interaction top 10%
- Co-authors
- Mousa ShamsiMohammad Ali NazariMarc WittmannScott MakeigPeyvand GhaderyanJoanna WitowskaHossein EbrahimnezhadMohammad Teshnehlab
- Topics
- EEG and Brain-Computer Interfaces (8 papers)Flow Experience in Various Fields (4 papers)Functional Brain Connectivity Studies (4 papers)
- Journals
- Journal of NeuroscienceSHILAP Revista de lepidopterologíaFrontiers in Human Neuroscience
In The Last Decade
Shiva Khoshnoud
17 papers receiving 254 citations
Peers
Comparison fields: 5 of 53
- Cognitive Neuroscience 203
- Psychiatry and Mental health 96
- Cardiology and Cardiovascular Medicine 43
- Developmental and Educational Psychology 41
- Human-Computer Interaction 36
Countries citing papers authored by Shiva Khoshnoud
This map shows the geographic impact of Shiva Khoshnoud'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 Shiva Khoshnoud with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shiva Khoshnoud more than expected).
Fields of papers citing papers by Shiva Khoshnoud
This network shows the impact of papers produced by Shiva Khoshnoud. 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 Shiva Khoshnoud. The network helps show where Shiva Khoshnoud may publish in the future.
Co-authorship network of co-authors of Shiva Khoshnoud
This figure shows the co-authorship network connecting the top 25 collaborators of Shiva Khoshnoud. A scholar is included among the top collaborators of Shiva Khoshnoud 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 Shiva Khoshnoud. Shiva Khoshnoud is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 6 | |
| 3 | 9 | |
| 4 | 20 | |
| 5 | 20 | |
| 6 | 48 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 31 | |
| 10 | 15 | |
| 11 | 22 | |
| 12 | 57 | |
| 13 | Epilepsy Classification Framework Utilizing Joint Time- Frequency Signal Analysis and Processing | 2 |
| 14 | 9 | |
| 15 | Classification of Arrhythmias Using Linear Predictive Coefficients and Probabilistic Neural Network | 6 |
| 16 | 5 | |
| 17 | 1 |
About Shiva Khoshnoud
Shiva Khoshnoud is a scholar working on Cognitive Neuroscience, Human-Computer Interaction and Developmental and Educational Psychology, having authored 17 papers that have together received 260 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (8 papers), Flow Experience in Various Fields (4 papers) and Functional Brain Connectivity Studies (4 papers). The work is most often cited by research in Cognitive Neuroscience (203 citations), Human-Computer Interaction (36 citations) and Psychiatry and Mental health (96 citations). Shiva Khoshnoud has collaborated with scholars based in Iran, Germany and Czechia. Frequent co-authors include Mousa Shamsi, Mohammad Ali Nazari, Marc Wittmann, Scott Makeig, Peyvand Ghaderyan, Joanna Witowska, Hossein Ebrahimnezhad, Mohammad Teshnehlab, Mahdi Aliyari Shoorehdeli and Valdas Noreika. Their work appears in journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and Frontiers in Human Neuroscience.
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.