Simanto Saha

550 total citations
22 papers, 353 citations indexed

About

Simanto Saha is a scholar working on Cognitive Neuroscience, Cardiology and Cardiovascular Medicine and Cellular and Molecular Neuroscience. According to data from OpenAlex, Simanto Saha has authored 22 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cognitive Neuroscience, 9 papers in Cardiology and Cardiovascular Medicine and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Simanto Saha's work include EEG and Brain-Computer Interfaces (11 papers), Functional Brain Connectivity Studies (6 papers) and Neural dynamics and brain function (5 papers). Simanto Saha is often cited by papers focused on EEG and Brain-Computer Interfaces (11 papers), Functional Brain Connectivity Studies (6 papers) and Neural dynamics and brain function (5 papers). Simanto Saha collaborates with scholars based in Australia, Bangladesh and United Arab Emirates. Simanto Saha's co-authors include Mathias Baumert, Khawza I. Ahmed, Raqibul Mostafa, Ahsan H. Khandoker, Leontios J. Hadjileontiadis, Herbert F. Jelinek, S.A. Hadigheh, Ivan D. Rukhlenko, Brian Uy and Simon Fleming and has published in prestigious journals such as Construction and Building Materials, IEEE Access and Frontiers in Physiology.

In The Last Decade

Simanto Saha

20 papers receiving 346 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Simanto Saha Australia	8	279	105	70	56	41	22	353
Davide Borra Italy	12	271 1.0×	79 0.8×	57 0.8×	54 1.0×	24 0.6×	23	377
Hisham Alwanni Germany	8	269 1.0×	75 0.7×	49 0.7×	53 0.9×	66 1.6×	8	308
Nupur Chugh India	5	290 1.0×	120 1.1×	71 1.0×	21 0.4×	41 1.0×	9	332
Eunjin Jeon South Korea	9	242 0.9×	63 0.6×	65 0.9×	29 0.5×	33 0.8×	19	320
Wonjun Ko South Korea	9	293 1.1×	60 0.6×	76 1.1×	32 0.6×	41 1.0×	19	343
Andrew Myrden Canada	7	281 1.0×	87 0.8×	40 0.6×	37 0.7×	63 1.5×	8	313
Thorir Mar Ingolfsson Italy	9	275 1.0×	90 0.9×	95 1.4×	48 0.9×	47 1.1×	20	348
Alkinoos Athanasiou Greece	11	253 0.9×	89 0.8×	34 0.5×	39 0.7×	55 1.3×	35	413

Countries citing papers authored by Simanto Saha

Since Specialization

Citations

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

Fields of papers citing papers by Simanto Saha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simanto Saha

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

All Works

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20 of 20 papers shown

Karlsson, Petra, et al.. (2025). Opinions on neural implants for children with cerebral palsy: A survey of the Australian cerebral palsy community. Computers in Human Behavior Reports. 17. 100591–100591.

Hadigheh, S.A., et al.. (2025). Pulverised CFRP waste and reclaimed carbon fibre for cement-based sensors: Investigating electrical resistivity and piezoresistivity under varying environmental conditions. Construction and Building Materials. 470. 140516–140516. 4 indexed citations

Saha, Simanto, et al.. (2024). Machine learning-augmented multi-arrayed fiber bragg grating sensors for enhanced structural health monitoring by discriminating strain and temperature variations. Journal of Civil Structural Health Monitoring. 15(2). 597–618. 9 indexed citations

Saha, Simanto, Mathias Baumert, & Alistair McEwan. (2023). Can Inter-Subject Associativity Predict Data-Driven BCI Performance?. PubMed. 2023. 1–4. 2 indexed citations

Saha, Simanto, et al.. (2023). Overcoming Uncertainties in Electrogram-Based Atrial Fibrillation Mapping: A Review. Cardiovascular Engineering and Technology. 15(1). 52–64. 1 indexed citations

Saha, Simanto & Mathias Baumert. (2020). Intra- and Inter-subject Variability in EEG-Based Sensorimotor Brain Computer Interface: A Review. Frontiers in Computational Neuroscience. 13. 87–87. 172 indexed citations

Saha, Simanto, Simon Hartmann, Dominik Linz, Prashanthan Sanders, & Mathias Baumert. (2019). A Ventricular Far-Field Artefact Filtering Technique for Atrial Electrograms. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 1–4.

Saha, Simanto, Khawza I. Ahmed, Raqibul Mostafa, et al.. (2019). Wavelet Entropy-Based Inter-subject Associative Cortical Source Localization for Sensorimotor BCI. Frontiers in Neuroinformatics. 13. 47–47. 14 indexed citations

Saha, Simanto, Simon Hartmann, Dominik Linz, Prashanthan Sanders, & Mathias Baumert. (2019). A Ventricular Far-field Artefact Filtering Technique for Atrial Electrograms. Computing in cardiology. 1 indexed citations

10.

Saha, Simanto, Dominik Linz, Prashanthan Sanders, & Mathias Baumert. (2019). Beamforming-inspired Spatial Filtering Technique for Intracardiac Electrograms. PubMed. 2019. 4254–4257. 2 indexed citations

11.

Khandoker, Ahsan H., et al.. (2017). Suicidal Ideation Is Associated with Altered Variability of Fingertip Photo-Plethysmogram Signal in Depressed Patients. Frontiers in Physiology. 8. 501–501. 12 indexed citations

12.

Saha, Simanto, Khawza I. Ahmed, Raqibul Mostafa, Leontios J. Hadjileontiadis, & Ahsan H. Khandoker. (2017). Evidence of Variabilities in EEG Dynamics During Motor Imagery-Based Multiclass Brain–Computer Interface. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 26(2). 371–382. 62 indexed citations

13.

Khandoker, Ahsan H., et al.. (2016). Predicting depressed patients with suicidal ideation from ECG recordings. Medical & Biological Engineering & Computing. 55(5). 793–805. 26 indexed citations

14.

Hye, Abdul, et al.. (2016). Prototyping Arduino and Android based m-health solution for diabetes mellitus patient. 1–4. 7 indexed citations

15.

Khandoker, Ahsan H., et al.. (2016). Identifying depressed patients with and without suicidal ideation by finger photo-plethysmography. PubMed. 2016. 1842–1845. 4 indexed citations

16.

Saha, Simanto, et al.. (2016). Application of wavelet-based maximum entropy on the mean in channel optimization for BCI. 1–5. 3 indexed citations

17.

Saha, Simanto, Khawza I. Ahmed, & Raqibul Mostafa. (2016). Wavelet coherence based channel selection for classifying single trial motor imagery. 5 indexed citations

18.

Saha, Simanto, Khawza I. Ahmed, Raqibul Mostafa, Ahsan H. Khandoker, & Leontios J. Hadjileontiadis. (2016). Enhanced inter‐subject brain computer interface with associative sensorimotor oscillations. Healthcare Technology Letters. 4(1). 39–43. 19 indexed citations

19.

Saha, Simanto, Khawza I. Ahmed, & Raqibul Mostafa. (2016). Unifying sensorimotor dynamics in multiclass brain computer interface. 5. 530–535. 1 indexed citations

20.

Khandoker, Ahsan H., et al.. (2015). Reduced variability in pulse wave velocity in depressed patients with suicidal ideation. 1061–1064. 4 indexed citations

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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