Mojtaba Khomami Abadi
- Experimental and Cognitive Psychology top 1%
- Cognitive Neuroscience top 2%
- Cardiology and Cardiovascular Medicine top 10%
- Social Psychology top 5%
- Artificial Intelligence top 10%
- Co-authors
- Nicu SebeIoannis PatrasRamanathan SubramanianStefan WinklerRadu L. VieriuPaolo AvesaniSeyed Mostafa KiaHeng Yang
- Topics
- Emotion and Mood Recognition (10 papers)EEG and Brain-Computer Interfaces (4 papers)Mental Health Research Topics (4 papers)
- Journals
- IEEE Transactions on Affective ComputingEdinburgh Research ExplorerarXiv (Cornell University)
- Partner nations
- ItalyUnited StatesSingapore
In The Last Decade
Mojtaba Khomami Abadi
12 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 73
- Experimental and Cognitive Psychology 899
- Cognitive Neuroscience 714
- Cardiology and Cardiovascular Medicine 251
- Social Psychology 195
- Artificial Intelligence 158
Countries citing papers authored by Mojtaba Khomami Abadi
This map shows the geographic impact of Mojtaba Khomami Abadi'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 Mojtaba Khomami Abadi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mojtaba Khomami Abadi more than expected).
Fields of papers citing papers by Mojtaba Khomami Abadi
This network shows the impact of papers produced by Mojtaba Khomami Abadi. 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 Mojtaba Khomami Abadi. The network helps show where Mojtaba Khomami Abadi may publish in the future.
Co-authorship network of co-authors of Mojtaba Khomami Abadi
This figure shows the co-authorship network connecting the top 25 collaborators of Mojtaba Khomami Abadi. A scholar is included among the top collaborators of Mojtaba Khomami Abadi 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 Mojtaba Khomami Abadi. Mojtaba Khomami Abadi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | AMIGOS: A Dataset for Affect, Personality and Mood Research on Individuals and Groupsbreakdown → | 438 |
| 2 | AMIGOS: A dataset for Mood, personality and affect research on Individuals and GrOupS. | 15 |
| 3 | 15 | |
| 4 | ASCERTAIN: Emotion and Personality Recognition Using Commercial Sensorsbreakdown → | 354 |
| 5 | 253 | |
| 6 | 20 | |
| 7 | 2 | |
| 8 | 29 | |
| 9 | 3 | |
| 10 | 12 | |
| 11 | 15 | |
| 12 | 10 |
About Mojtaba Khomami Abadi
Mojtaba Khomami Abadi is a scholar working on Experimental and Cognitive Psychology, Cognitive Neuroscience and Social Psychology, having authored 12 papers that have together received 1.2k indexed citations. Recurring topics across this work include Emotion and Mood Recognition (10 papers), EEG and Brain-Computer Interfaces (4 papers) and Mental Health Research Topics (4 papers). The work is most often cited by research in Experimental and Cognitive Psychology (899 citations), Cognitive Neuroscience (714 citations) and Human-Computer Interaction (101 citations). Mojtaba Khomami Abadi has collaborated with scholars based in Italy, United States and Singapore. Frequent co-authors include Nicu Sebe, Ioannis Patras, Ramanathan Subramanian, Stefan Winkler, Radu L. Vieriu, Paolo Avesani, Seyed Mostafa Kia, Heng Yang, Fabio Morreale and Rishabh Gupta. Their work appears in journals such as IEEE Transactions on Affective Computing, Edinburgh Research Explorer and arXiv (Cornell University).
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.