Shobi Sivathamboo

830 total citations
26 papers, 514 citations indexed

About

Shobi Sivathamboo is a scholar working on Psychiatry and Mental health, Cognitive Neuroscience and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Shobi Sivathamboo has authored 26 papers receiving a total of 514 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Psychiatry and Mental health, 15 papers in Cognitive Neuroscience and 8 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Shobi Sivathamboo's work include Epilepsy research and treatment (15 papers), EEG and Brain-Computer Interfaces (15 papers) and Neuroscience and Neuropharmacology Research (5 papers). Shobi Sivathamboo is often cited by papers focused on Epilepsy research and treatment (15 papers), EEG and Brain-Computer Interfaces (15 papers) and Neuroscience and Neuropharmacology Research (5 papers). Shobi Sivathamboo collaborates with scholars based in Australia, United States and Canada. Shobi Sivathamboo's co-authors include Piero Perucca, Terence J. O’Brien, Patrick Kwan, Kenneth A. Myers, Zhibin Chen, Dennis Velakoulis, Nigel C. Jones, Levin Kuhlmann, Jeremy Goldin and Ana Antonic‐Baker and has published in prestigious journals such as Neurology, The Journal of Physiology and SLEEP.

In The Last Decade

Shobi Sivathamboo

26 papers receiving 494 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shobi Sivathamboo Australia 13 342 269 121 95 75 26 514
Robert J. Lamberts Netherlands 14 564 1.6× 334 1.2× 238 2.0× 233 2.5× 150 2.0× 18 774
Armin Nikpour Australia 14 328 1.0× 239 0.9× 36 0.3× 99 1.0× 188 2.5× 63 552
Marcus Ng Canada 11 377 1.1× 472 1.8× 35 0.3× 208 2.2× 93 1.2× 46 687
Adriana Ulate-Campos Spain 10 243 0.7× 202 0.8× 35 0.3× 71 0.7× 96 1.3× 18 382
Marilisa Boscarino Italy 11 176 0.5× 154 0.6× 21 0.2× 103 1.1× 44 0.6× 27 310
Rima El Atrache United States 12 296 0.9× 373 1.4× 104 0.9× 44 0.5× 63 0.8× 20 502
Seonah Jang South Korea 7 174 0.5× 199 0.7× 37 0.3× 83 0.9× 20 0.3× 9 431
Bilal Zonjy United States 10 335 1.0× 238 0.9× 71 0.6× 187 2.0× 103 1.4× 17 517
Aoife Laffan Ireland 3 196 0.6× 102 0.4× 38 0.3× 84 0.9× 68 0.9× 4 396
Trudy Pang United States 13 314 0.9× 210 0.8× 145 1.2× 148 1.6× 147 2.0× 28 623

Countries citing papers authored by Shobi Sivathamboo

Since Specialization
Citations

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

Fields of papers citing papers by Shobi Sivathamboo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shobi Sivathamboo

This figure shows the co-authorship network connecting the top 25 collaborators of Shobi Sivathamboo. A scholar is included among the top collaborators of Shobi Sivathamboo 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 Shobi Sivathamboo. Shobi Sivathamboo 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
1.
Sivathamboo, Shobi, et al.. (2025). The physiology, anatomy and stimulation of the vagus nerve in epilepsy. The Journal of Physiology. 603(8). 2201–2217. 1 indexed citations
2.
Barnett, Scott, Shobi Sivathamboo, Piero Perucca, et al.. (2025). Channel-annotated deep learning for enhanced interpretability in EEG-based seizure detection. Biomedical Signal Processing and Control. 103. 107484–107484. 2 indexed citations
3.
Liu, Zining, Shobi Sivathamboo, Idrish Ali, et al.. (2025). Cardiac structural and molecular alterations in rodent models of temporal lobe epilepsy. Epilepsia Open. 10(3). 809–821. 2 indexed citations
4.
Farmer, David, Kegan Moneghetti, Matteo Maria Ottaviani, et al.. (2024). First‐in‐human microelectrode recordings from the vagus nerve during clinical vagus nerve stimulation. Epilepsia Open. 9(6). 2522–2527. 5 indexed citations
5.
Chen, Zhibin, Sarah Barnard, Shobi Sivathamboo, et al.. (2023). Applying the ILAE diagnostic criteria for Lennox‐Gastaut syndrome in the real‐world setting: A multicenter retrospective cohort study. Epilepsia Open. 9(2). 602–612. 6 indexed citations
6.
7.
Barnett, Scott, Shobi Sivathamboo, Piero Perucca, et al.. (2023). EEG datasets for seizure detection and prediction— A review. Epilepsia Open. 8(2). 252–267. 47 indexed citations
8.
Liu, Zining, Ana Antonic‐Baker, Zhibin Chen, et al.. (2023). Cardiac structural and functional abnormalities in epilepsy: A systematic review and meta‐analysis. Epilepsia Open. 8(1). 46–59. 15 indexed citations
9.
Devinsky, Orrin, et al.. (2023). Idiopathic Generalized Epilepsy. Neurology. 102(3). e208076–e208076. 18 indexed citations
10.
Barnard, Sarah, Juliana Laze, Zhibin Chen, et al.. (2023). Risk of sudden unexpected death in epilepsy (SUDEP) with lamotrigine and other sodium channel‐modulating antiseizure medications. Epilepsia Open. 8(2). 334–345. 7 indexed citations
11.
Barnett, Scott, Shobi Sivathamboo, Piero Perucca, et al.. (2023). EEG based automated seizure detection – A survey of medical professionals. Epilepsy & Behavior. 149. 109518–109518. 13 indexed citations
12.
Sivathamboo, Shobi, Zhibin Chen, Shitanshu Kusmakar, et al.. (2022). Automated seizure detection with noninvasive wearable devices: A systematic review and meta‐analysis. Epilepsia. 63(8). 1930–1941. 47 indexed citations
13.
Chen, Zhe, Guanghao Sun, Gregory K. Bergey, et al.. (2022). Interictal EEG and ECG for SUDEP Risk Assessment: A Retrospective Multicenter Cohort Study. Frontiers in Neurology. 13. 858333–858333. 9 indexed citations
14.
McCartney, Lara, Sarah Barnard, Charles B. Malpas, et al.. (2020). Mortality in patients with psychogenic nonepileptic seizures. Neurology. 95(6). e643–e652. 82 indexed citations
15.
Sparks, Paul, et al.. (2020). Postictal Atrial Fibrillation. Neurology Clinical Practice. 11(5). e747–e749. 1 indexed citations
16.
Rasheed, Khansa, Adnan Qayyum, Junaid Qadir, et al.. (2020). Machine Learning for Predicting Epileptic Seizures Using EEG Signals: A Review. IEEE Reviews in Biomedical Engineering. 14. 139–155. 12 indexed citations
17.
Sivathamboo, Shobi, T. Constantino, Zhibin Chen, et al.. (2020). Cardiorespiratory and autonomic function in epileptic seizures: A video-EEG monitoring study. Epilepsy & Behavior. 111. 107271–107271. 24 indexed citations
18.
Liu, Yu, Shobi Sivathamboo, Peter Goodin, et al.. (2020). Epileptic Seizure Detection Using Convolutional Neural Network: A Multi-Biosignal study. Proceedings of the Australasian Computer Science Week Multiconference. 1–8. 19 indexed citations
19.
Sivathamboo, Shobi, Piero Perucca, Dennis Velakoulis, et al.. (2018). Sleep-disordered breathing in epilepsy: epidemiology, mechanisms, and treatment. SLEEP. 41(4). 39 indexed citations
20.
Myers, Kenneth A., Shobi Sivathamboo, & Piero Perucca. (2018). Heart rate variability measurement in epilepsy: How can we move from research to clinical practice?. Epilepsia. 59(12). 2169–2178. 76 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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