Shirin Enshaeifar
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Signal Processing top 10%
- Cognitive Neuroscience
- Co-authors
- Payam BarnaghiTarek ElsalehSaeid SaneiClive Cheong TookSeverin SkillmanHelen RostillRamin NilforooshanAndreas Markides
- Topics
- Blind Source Separation Techniques (9 papers)EEG and Brain-Computer Interfaces (6 papers)Context-Aware Activity Recognition Systems (6 papers)
- Partner nations
- United KingdomUnited StatesSpain
In The Last Decade
Shirin Enshaeifar
33 papers receiving 554 citations
Peers
Comparison fields: 5 of 117
- Computer Vision and Pattern Recognition 132
- Artificial Intelligence 131
- Computer Networks and Communications 109
- Signal Processing 101
- Cognitive Neuroscience 76
Countries citing papers authored by Shirin Enshaeifar
This map shows the geographic impact of Shirin Enshaeifar'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 Shirin Enshaeifar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shirin Enshaeifar more than expected).
Fields of papers citing papers by Shirin Enshaeifar
This network shows the impact of papers produced by Shirin Enshaeifar. 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 Shirin Enshaeifar. The network helps show where Shirin Enshaeifar may publish in the future.
Co-authorship network of co-authors of Shirin Enshaeifar
This figure shows the co-authorship network connecting the top 25 collaborators of Shirin Enshaeifar. A scholar is included among the top collaborators of Shirin Enshaeifar 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 Shirin Enshaeifar. Shirin Enshaeifar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 32 | |
| 2 | 16 | |
| 3 | 4 | |
| 4 | 54 | |
| 5 | 13 | |
| 6 | 3 | |
| 7 | 59 | |
| 8 | 3 | |
| 9 | 1 | |
| 10 | 90 | |
| 11 | 12 | |
| 12 | 45 | |
| 13 | 5 | |
| 14 | 16 | |
| 15 | 6 | |
| 16 | 4 | |
| 17 | 7 | |
| 18 | 6 | |
| 19 | 47 | |
| 20 | 1 |
About Shirin Enshaeifar
Shirin Enshaeifar is a scholar working on Computational Mathematics, Signal Processing and Computer Vision and Pattern Recognition, having authored 34 papers that have together received 565 indexed citations. Recurring topics across this work include Blind Source Separation Techniques (9 papers), EEG and Brain-Computer Interfaces (6 papers) and Context-Aware Activity Recognition Systems (6 papers). The work is most often cited by research in Health Informatics (16 citations), Computational Mathematics (6 citations) and Signal Processing (101 citations). Shirin Enshaeifar has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include Payam Barnaghi, Tarek Elsaleh, Saeid Sanei, Clive Cheong Took, Severin Skillman, Helen Rostill, Ramin Nilforooshan, Andreas Markides, Samaneh Kouchaki and Ahmed Zoha. Their work appears in journals such as PLoS ONE, Sensors and IEEE Transactions on Neural Networks and Learning Systems.
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.