Shirin Enshaeifar

875 citations
34 papers · 565 indexed · h-index 13

Shirin Enshaeifar

33 papers receiving 554 citations

Peers

Shirin Enshaeifar
Comparison fields: 5 of 117
  • Health Informatics 16
  • Computational Mathematics 6
  • Signal Processing 101
  • Computer Vision and Pattern Recognition 132
  • Computer Networks and Communications 109
Replace Gautam Dasarathy with:
Gautam Dasarathy United States
Wenjun Ma China
Hyun-Soo Choi South Korea
Davide Bacciu Italy
Enrique Garcia-Ceja Norway
Maia Angelova United Kingdom
Seyed Reza Shahamiri New Zealand
Javier Reina‐Tosina Spain
Álvaro Alesanco Spain
Min Hong South Korea
Shirin Enshaeifar relative to Gautam Dasarathy United States Gautam Dasarathy's profile →
Citations per field
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Citations per year

Countries citing papers authored by Shirin Enshaeifar

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Shirin Enshaeifar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Shirin Enshaeifar Line = papers co-authored together Shirin Enshaeifar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202032
2 202016
3 20204
4 202054
5 202013
6 20203
7 201959
8 20193
9 20191
10 201890
11 201812
12 201845
13 20185
14 201616
15 20166
16 20154
17 20157
18 20156
19 201547
20 20131

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), Context-Aware Activity Recognition Systems (6 papers), IoT and Edge/Fog Computing (4 papers), Data Management and Algorithms (4 papers), Statistical and numerical algorithms (3 papers), Advanced Adaptive Filtering Techniques (3 papers) and Time Series Analysis and Forecasting (3 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 IEEE Transactions on Neural Systems and Rehabilitation Engineering, PLoS ONE, IEEE Internet Computing, Cancer Nursing and Alzheimer s & Dementia.

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.

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