Hesam Akbari

1.4k total citations
54 papers, 957 citations indexed

About

Hesam Akbari is a scholar working on Cognitive Neuroscience, Health, Toxicology and Mutagenesis and Signal Processing. According to data from OpenAlex, Hesam Akbari has authored 54 papers receiving a total of 957 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cognitive Neuroscience, 9 papers in Health, Toxicology and Mutagenesis and 9 papers in Signal Processing. Recurrent topics in Hesam Akbari's work include EEG and Brain-Computer Interfaces (16 papers), Blind Source Separation Techniques (9 papers) and ECG Monitoring and Analysis (5 papers). Hesam Akbari is often cited by papers focused on EEG and Brain-Computer Interfaces (16 papers), Blind Source Separation Techniques (9 papers) and ECG Monitoring and Analysis (5 papers). Hesam Akbari collaborates with scholars based in Iran, Pakistan and China. Hesam Akbari's co-authors include Muhammad Tariq Sadiq, Hamed Akbari, Amir Adibzadeh, Ateeq Ur Rehman, Sedigheh Ghofrani, Siuly Siuly, Yan Li, Reza Khorramirouz, Peng Wen and Majid Radfard and has published in prestigious journals such as Scientific Reports, Chemosphere and Chaos Solitons & Fractals.

In The Last Decade

Hesam Akbari

48 papers receiving 947 citations

Peers

Hesam Akbari
Comparison fields: 5 of 131
  • Cognitive Neuroscience 420
  • Cardiology and Cardiovascular Medicine 150
  • Signal Processing 120
  • Surgery 120
  • Biomedical Engineering 107
Replace Fan Li with:
Fan Li China
Philip Schmidt United States
Qi Wu China
Mohammod Abdul Motin Bangladesh
Xiaotong Wen China
Dongmei Lv China
Jason J. Liu United States
Lingyun Yu China
Yin‐Ming Li China
A. Wennberg Sweden
Fan Li China View profile →
Citations per field, relative to Hesam Akbari
Hesam Akbari · 1×
Citations per year, relative to Hesam Akbari
Hesam Akbari · 1×

Countries citing papers authored by Hesam Akbari

Since Specialization
Citations

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

Fields of papers citing papers by Hesam Akbari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hesam Akbari

This figure shows the co-authorship network connecting the top 25 collaborators of Hesam Akbari. A scholar is included among the top collaborators of Hesam Akbari 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 Hesam Akbari. Hesam Akbari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 26
4 0
5 1
6 56
7 27
8
Retinal Blood Vessel Segmentation Using Gabor Filter and Morphological Reconstruction
2
9
Detection of seizure EEG signals based on reconstructed phase space of rhythms in EWT domain and genetic algorithm
9
10 15
11 32
12
Designing and Validating a Questionnaire for Assessing the Safety Climate among Nurses
4
13 5
14 8
15 21
16 2
17 34
18 8
19 13
20 26

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026