What is he best known for?
The fields of study he is best known for:
- Internal medicine
- Epilepsy
- Surgery
His primary scientific interests are in Epilepsy, Epilepsy surgery, Surgery, Ictal and Electroencephalography.
His studies deal with areas such as Movement disorders, Central nervous system disease, Neurological disorder and Pediatrics as well as Epilepsy.
His Epilepsy surgery study integrates concerns from other disciplines, such as Cortical dysplasia, Preoperative care and Hippocampal sclerosis.
Prakash Kotagal is studying Retrospective cohort study, which is a component of Surgery.
His Ictal research is multidisciplinary, incorporating perspectives in Anesthesia and Temporal lobe.
His Electroencephalography research incorporates themes from Stage, Complication, Cerebral Convexity and Scalp.
His most cited work include:
- Semiological Seizure Classification (453 citations)
- Seizure outcome after epilepsy surgery in children and adolescents (449 citations)
- Calcium-sensitive potassium channelopathy in human epilepsy and paroxysmal movement disorder (431 citations)
What are the main themes of his work throughout his whole career to date?
Prakash Kotagal mainly focuses on Epilepsy, Epilepsy surgery, Surgery, Electroencephalography and Ictal.
His Epilepsy research includes themes of Anesthesia, Central nervous system disease and Pediatrics.
His work in Epilepsy surgery addresses issues such as Hemispherectomy, which are connected to fields such as Status epilepticus.
His work on Retrospective cohort study as part of general Surgery research is frequently linked to Population, bridging the gap between disciplines.
His Electroencephalography research is multidisciplinary, relying on both Neuroimaging and Etiology.
Prakash Kotagal combines subjects such as Radiology, Audiology and Scalp with his study of Ictal.
He most often published in these fields:
- Epilepsy (64.43%)
- Epilepsy surgery (36.24%)
- Surgery (30.87%)
What were the highlights of his more recent work (between 2009-2020)?
- Epilepsy (64.43%)
- Epilepsy surgery (36.24%)
- Surgery (30.87%)
In recent papers he was focusing on the following fields of study:
His main research concerns Epilepsy, Epilepsy surgery, Surgery, Electroencephalography and Ictal.
His Epilepsy research integrates issues from Complication and Pediatrics.
His Epilepsy surgery study combines topics from a wide range of disciplines, such as Odds ratio, Confidence interval, General surgery, Temporal lobe and Survival analysis.
His Surgery research is mostly focused on the topic Central nervous system disease.
His Electroencephalography research incorporates elements of Anesthesia, Tuberous sclerosis and Etiology.
His Ictal research includes themes of Cortical dysplasia, Radiology and Magnetoencephalography.
Between 2009 and 2020, his most popular works were:
- Longitudinal seizure outcome and prognostic predictors after hemispherectomy in 170 children (111 citations)
- Long-term seizure outcome after resective surgery in patients evaluated with intracranial electrodes. (111 citations)
- Long-term functional outcomes and their predictors after hemispherectomy in 115 children. (94 citations)
In his most recent research, the most cited papers focused on:
- Internal medicine
- Epilepsy
- Surgery
His primary areas of study are Epilepsy surgery, Epilepsy, Surgery, Hemispherectomy and Confidence interval.
Prakash Kotagal has researched Epilepsy surgery in several fields, including Anesthesia, Survival analysis and Thalamus.
His study ties his expertise on Odds ratio together with the subject of Epilepsy.
His work focuses on many connections between Surgery and other disciplines, such as Cortical dysplasia, that overlap with his field of interest in Ictal.
His Hemispherectomy study incorporates themes from Pediatrics and Medical record.
He works mostly in the field of Confidence interval, limiting it down to topics relating to Retrospective cohort study and, in certain cases, Multivariate analysis, Hippocampal sclerosis, Preoperative care and Temporal lobe, as a part of the same area of interest.
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