Pega Zarjam

558 citations
15 papers · 378 · h-index 9

Impact in

Papers in

    • EEG and Brain-Computer Interfaces 13
    • Neural and Behavioral Psychology Studies 6
    • Neural dynamics and brain function 3
    • Blind Source Separation Techniques 8

Pega Zarjam

15 papers receiving 363 citations

Peers

Pega Zarjam
Comparison fields: 5 of 66
  • Cognitive Neuroscience 271
  • Human-Computer Interaction 44
  • Signal Processing 52
  • Experimental and Cognitive Psychology 50
  • Cardiology and Cardiovascular Medicine 68
Replace Niki Pandria with:
Niki Pandria Greece
Thea Radüntz Germany
Rahul Gavas India
Chad L. Stephens United States
Tobias Heffelaar Netherlands
Xiyuan Hou Singapore
Yaacob Sazali Malaysia
Charalampos Saitis United Kingdom
Hubert Banville Canada
Sarah Blum Germany
Pega Zarjam relative to Niki Pandria Greece Niki Pandria's profile →
Citations per field
00.5×
Niki Pandria · 1×
Citations per year

Countries citing papers authored by Pega Zarjam

Since Specialization
Citations

This map shows the geographic impact of Pega Zarjam'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 Pega Zarjam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pega Zarjam more than expected).

Fields of papers citing papers by Pega Zarjam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pega Zarjam. 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 Pega Zarjam. The network helps show where Pega Zarjam may publish in the future.

Co-authors

The 6 scholars most cited alongside Pega Zarjam, 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 Pega Zarjam Line = papers co-authored together Pega Zarjam links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 201393
2 201587
3 201141
4
Characterizing working memory load using EEG delta activity
201136
5 201226
6 200323
7 201221
8 202116
9 200314
10 20218
11 20036
12 20044
13
Newborns' EEG Seizure Detection Using T-F Distance Measures
20051
14 20061
15 20071

About Pega Zarjam

Pega Zarjam is a scholar working on Cognitive Neuroscience, Signal Processing, Cardiology and Cardiovascular Medicine, Biomedical Engineering and Surgery, having authored 15 papers that have together received 378 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (13 papers), Blind Source Separation Techniques (8 papers), Neural and Behavioral Psychology Studies (6 papers), ECG Monitoring and Analysis (4 papers), Neural dynamics and brain function (3 papers), Healthcare Technology and Patient Monitoring (2 papers), Non-Invasive Vital Sign Monitoring (2 papers) and Neonatal and fetal brain pathology (2 papers). The work is most often cited by research in Cognitive Neuroscience (271 citations), Human-Computer Interaction (44 citations), Signal Processing (52 citations), Experimental and Cognitive Psychology (50 citations) and Cardiology and Cardiovascular Medicine (68 citations). Pega Zarjam has collaborated with scholars based in Australia, Iran and United Arab Emirates. Frequent co-authors include Julien Epps, Nigel H. Lovell, Fang Chen, Mostefa Mesbah, B. Boashash and Ghasem Azemi. Their work appears in journals such as Analog Integrated Circuits and Signal Processing, Computers in Biology and Medicine, Circuits Systems and Signal Processing, PubMed and Queensland's institutional digital repository (The University of Queensland).

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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