Ishita Basu

585 total citations
22 papers, 387 citations indexed

About

Ishita Basu is a scholar working on Neurology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Ishita Basu has authored 22 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Neurology, 11 papers in Cellular and Molecular Neuroscience and 10 papers in Cognitive Neuroscience. Recurrent topics in Ishita Basu's work include Neurological disorders and treatments (14 papers), Neuroscience and Neural Engineering (10 papers) and EEG and Brain-Computer Interfaces (7 papers). Ishita Basu is often cited by papers focused on Neurological disorders and treatments (14 papers), Neuroscience and Neural Engineering (10 papers) and EEG and Brain-Computer Interfaces (7 papers). Ishita Basu collaborates with scholars based in United States, United Kingdom and Jamaica. Ishita Basu's co-authors include Daniela Tuninetti, Konstantin V. Slavin, Daniel Graupe, Sydney S. Cash, Angelique C. Paulk, Darin D. Dougherty, Alik S. Widge, Emad N. Eskandar, Daniel M. Corcos and Leo Verhagen Metman and has published in prestigious journals such as Nature Communications, NeuroImage and The Journal of Urology.

In The Last Decade

Ishita Basu

21 papers receiving 384 citations

Peers

Ishita Basu

NEURO

CMN

NEURO

SURGE

Idit Tamir Israel

Monique Giroux United States

Jeroen Habets Germany

Lauren Shreve United States

Amol P. Yadav United States

Sara Meoni France

Nathan Ziman United States

Henry Colle Netherlands

Jan‐Hinnerk Mehrkens Germany

Vibhash D. Sharma United States

Idit Tamir Israel

Ishita Basu

236 ×1.0

NEURO

164 ×0.8

CMN

100 ×0.6

28 ×0.6

NEURO

19 ×0.6

SURGE

Citations per year, relative to Ishita Basu Ishita Basu (= 1×) peers Idit Tamir

Countries citing papers authored by Ishita Basu

Since Specialization

Citations

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

Fields of papers citing papers by Ishita Basu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ishita Basu

This figure shows the co-authorship network connecting the top 25 collaborators of Ishita Basu. A scholar is included among the top collaborators of Ishita Basu 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 Ishita Basu. Ishita Basu 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

Basu, Ishita, et al.. (2022). Classification of Seizure Termination Patterns using Deep Learning on intracranial EEG. 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 2022. 2933–2936. 3 indexed citations

Zelmann, Rina, Angelique C. Paulk, Ishita Basu, et al.. (2020). CLoSES: A platform for closed-loop intracranial stimulation in humans. NeuroImage. 223. 117314–117314. 19 indexed citations

Basu, Ishita, Madeline M. Robertson, Britni Crocker, et al.. (2019). Consistent linear and non-linear responses to invasive electrical brain stimulation across individuals and primate species with implanted electrodes. Brain stimulation. 12(4). 877–892. 33 indexed citations

Widge, Alik S., Samuel Zorowitz, Ishita Basu, et al.. (2019). Deep brain stimulation of the internal capsule enhances human cognitive control and prefrontal cortex function. Nature Communications. 10(1). 1536–1536. 95 indexed citations

Widge, Alik S., Ishita Basu, Samuel Zorowitz, et al.. (2019). Closed loop deep brain stimulation enhances cognitive control. Brain stimulation. 12(2). 434–434. 1 indexed citations

Graupe, Daniel, et al.. (2018). Who May Benefit From On-Demand Control of Deep Brain Stimulation? Noninvasive Evaluation of Parkinson Patients. Neuromodulation Technology at the Neural Interface. 21(6). 611–616. 6 indexed citations

Basu, Ishita, et al.. (2018). Retrospective review of 69 patients undergoing open reduction and internal fixation of mandibular fractures at a regional maxillofacial centre. British Journal of Anaesthesia. 121(1). e13–e14. 1 indexed citations

Basu, Ishita, Britni Crocker, Madeline M. Robertson, et al.. (2018). A neural mass model to predict electrical stimulation evoked responses in human and non-human primate brain. Journal of Neural Engineering. 15(6). 66012–66012. 19 indexed citations

Basu, Ishita, et al.. (2018). The Surgical Tool for Auditing Records (STAR) for Oral & Maxillofacial Record Keeping: Trauma vs Elective. British Journal of Oral and Maxillofacial Surgery. 56(10). e8–e8. 2 indexed citations

10.

Basu, Ishita, et al.. (2017). Should “lateral canthotomy” be taught on the advanced trauma life support course?. International Journal of Oral and Maxillofacial Surgery. 46. 75–75. 2 indexed citations

11.

Basu, Ishita, et al.. (2014). On modeling the neuronal activity in movement disorder patients by using the Ornstein Uhlenbeck Process. PubMed. 57. 2609–2612. 1 indexed citations

12.

Basu, Ishita, et al.. (2014). Towards closed-loop deep brain stimulation: Decision tree-based Essential Tremor patient's state classifier and tremor reappearance predictor. PubMed. 2014. 2605–2608. 13 indexed citations

13.

Basu, Ishita, Daniel Graupe, Daniela Tuninetti, et al.. (2013). Pathological tremor prediction using surface electromyogram and acceleration: potential use in ‘ON–OFF’ demand driven deep brain stimulator design. Journal of Neural Engineering. 10(3). 36019–36019. 77 indexed citations

14.

Zreik, Abdullah, et al.. (2013). 2013 CT UROGRAPHY FOR HAEMATURIA: INCIDENTAL DETECTION OF EXTRAURINARY TUMOURS. The Journal of Urology. 189(4S). 1 indexed citations

15.

Basu, Ishita, et al.. (2012). A neural network-based design of an on-off adaptive control for Deep Brain Stimulation in movement disorders. PubMed. 2012. 4140–4143. 21 indexed citations

16.

Basu, Ishita, et al.. (2012). A case of triple volvulus. Annals of The Royal College of Surgeons of England. 94(2). e62–e64. 6 indexed citations

17.

Basu, Ishita, Daniela Tuninetti, Daniel Graupe, & Konstantin V. Slavin. (2011). Adaptive control of deep brain stimulator for Essential Tremor: Entropy-based tremor prediction using surface-EMG. PubMed. 2011. 7711–7714. 10 indexed citations

18.

Basu, Ishita, et al.. (2011). Girdlestones excision arthroplasty: Current update. International Journal of Surgery. 9(4). 310–313. 22 indexed citations

19.

Basu, Ishita, Daniel Graupe, Daniela Tuninetti, & Konstantin V. Slavin. (2010). Stochastic modeling of the neuronal activity in the subthalamic nucleus and model parameter identification from Parkinson patient data. Biological Cybernetics. 103(4). 273–283. 3 indexed citations

20.

Graupe, Daniel, Ishita Basu, Daniela Tuninetti, Prasad Vannemreddy, & Konstantin V. Slavin. (2010). Adaptively controlling deep brain stimulation in essential tremor patient via surface electromyography. Neurological Research. 32(9). 899–904. 46 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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