Eiji Nakagawa | Neuroscience Data Analysis | Best Researcher Award

Best Researcher Award

Eiji Nakagawa — National Center of Neurology and Psychiatry Hospital, Japan

Eiji Nakagawa
Affiliation National Center of Neurology and Psychiatry Hospital
Country Japan
Scopus ID 60605751300
Documents 1
Subject Area Neuroscience Data Analysis
Event International Research Data Analysis Excellence & Awards
ORCID 0000-0002-9285-4550

Eiji Nakagawa is a Japanese clinician-researcher affiliated with the National Center of Neurology and Psychiatry Hospital. Public research records associate his work with epilepsy, child neurology, neuroscience, neurodevelopmental disorders, and clinical research. His documented activities provide a scholarly basis for recognition in a research category emphasizing evidence-based neurological investigation and data-informed scientific practice. [2]

Abstract

This article presents a scholarly recognition profile for Eiji Nakagawa, associated with the National Center of Neurology and Psychiatry Hospital in Japan. His research record is connected with epilepsy, child neurology, neurodevelopmental conditions, and clinical neuroscience. The profile considers documented research activity and its relevance to neuroscience-focused data analysis and scientific recognition. [1]

Keywords

Eiji Nakagawa; neuroscience; data analysis; epilepsy research; child neurology; clinical neuroscience; neurodevelopment; neurological disorders; medical research; National Center of Neurology and Psychiatry; Japan; research excellence; scientific recognition.

Introduction

Eiji Nakagawa is a researcher and physician whose documented professional activities are associated with epilepsy, child neurology, and neuroscience at the National Center of Neurology and Psychiatry. His work reflects clinical and translational approaches that connect neurological diagnosis, patient care, research databases, and evidence-based investigation within specialized neurological medicine. [3]

Research Profile

Nakagawa’s research profile encompasses epilepsy, developmental neurology, neurodevelopmental disorders, and clinical neuroscience. Public researcher information identifies connections with cognitive neuroscience, general neuroscience, basic brain sciences, and epilepsy-related research. His institutional work also includes initiatives involving large clinical datasets and telemedicine, supporting systematic approaches to neurological research and healthcare improvement.[2]

Research Contributions

Documented contributions involving Nakagawa address clinically important neurological questions, including epilepsy, developmental disorders, neurogenetic conditions, and neurological diagnosis. His collaborative publications demonstrate participation in multidisciplinary studies using clinical observation, neuroimaging, electrophysiology, genetics, and related analytical approaches. These activities illustrate the value of integrated clinical and research methods in contemporary neuroscience.[3]

Publications

Nakagawa has participated in peer-reviewed publications concerning neurological and neurodevelopmental conditions. Representative work includes research on NFIX-associated Malan syndrome and hindbrain abnormalities, with collaborative authorship across specialist departments. Such publications demonstrate engagement with multidisciplinary neurological investigation and provide documented scholarly outputs relevant to clinical neuroscience and data-supported medical research. [3]

Research Impact

The potential impact of Nakagawa’s research is reflected in its connection with clinically relevant neurological problems and institutional efforts to strengthen epilepsy research infrastructure. NCNP documentation describes database development, telemedicine, epidemiological investigation, diagnostic methodology, and treatment research as important objectives, placing neurological data within broader efforts to improve evidence-based care. [2]

Award Suitability

The documented research profile provides a reasonable basis for consideration for a Best Researcher Award within a neuroscience data-analysis context. His association with epilepsy research, clinical datasets, neurological diagnostics, and multidisciplinary scientific studies aligns with recognition criteria emphasizing research relevance, scholarly contribution, and evidence-based investigation. Final award decisions should remain subject to independent evaluation. [3]

Conclusion

Eiji Nakagawa’s documented academic and clinical activities demonstrate sustained engagement with epilepsy, child neurology, neurodevelopment, and neuroscience research. His collaborative publications and institutional research activities provide relevant evidence for scholarly recognition. Within the stated award category, his work represents an appropriate example of clinically oriented research connected with neurological data and scientific analysis. [1]

References

  1. Erythropoietin and Erythropoietin Receptors in Human CNS Neurons, Astrocytes, Microglia, and Oligodendrocytes Grown in Culture.
    https://www.researchgate.net/publication/12028341_Erythropoietin_and_Erythropoietin_Receptors_in_Human_CNS_Neurons_Astrocytes_Microglia_and_Oligodendrocytes_Grown_in_Culture
  2. Enhancement of Progenitor Cell Division in the Dentate Gyrus Triggered by Initial Limbic Seizures in Rat Models of Epilepsy.
    https://onlinelibrary.wiley.com/doi/abs/10.1111/j.1528-1157.2000.tb01498.x
  3. Neurobehavioral and hemodynamic evaluation of Stroop and reverse Stroop interference in children with attention-deficit/hyperactivity disorder
    https://www.researchgate.net/publication/235646823_Neurobehavioral_and_hemodynamic_evaluation_of_Stroop_and_reverse_Stroop_interference_in_children_with_attention-deficithyperactivity_disorder

Cheng-I Chen | Utilities Analytics | Best Researcher Award

Best Researcher Award

Cheng-I Chen – National Central University, Taiwan
Cheng-I Chen
Affiliation National Central University
Country Taiwan
Scopus ID 25421225500
Documents 82
Citations 1,763
h-index 21
Subject Area Utilities Analytics
Event International Research Data Analysis Excellence & Awards
ORCID 0009-0002-8883-4394

Cheng-I Chen of National Central University, Taiwan, is presented in connection with the Best Researcher Award under the International Research Data Analysis Excellence & Awards. Available bibliographic information identifies a research record associated with 82 documents, 1,763 citations, and an h-index of 21 in the stated subject area of Utilities Analytics. [1]

Abstract

Cheng-I Chen is associated with National Central University, Taiwan, and a research profile categorized under Utilities Analytics. The available Scopus information records 82 documents, 1,763 citations, and an h-index of 21. These bibliometric indicators provide a quantitative basis for considering research productivity and scholarly visibility in the context of academic recognition. [2]

Keywords

Cheng-I Chen; National Central University; Taiwan; Utilities Analytics; research analytics; bibliometrics; scholarly impact; data analysis; Scopus; ORCID; Best Researcher Award.

Introduction

Research in utilities analytics applies quantitative and computational approaches to understand complex operational and data-driven systems. Cheng-I Chen is affiliated with National Central University, Taiwan, and is identified through Scopus author record 25421225500. The documented publication and citation indicators provide context for evaluating scholarly activity and recognition. [3]

Research Profile

Chen’s available research profile is associated with Utilities Analytics and National Central University. The Scopus record lists 82 documents, 1,763 citations, and an h-index of 21. These indicators describe the documented scholarly record without independently implying specific research methods, projects, or findings beyond information available through the identified researcher profile. [1]

Research Contributions

The researcher’s documented contributions can be considered through publication activity, citation accumulation, and sustained scholarly visibility within the stated Utilities Analytics subject area. An academic assessment should additionally examine individual publications, methodologies, datasets, collaborations, and practical outcomes. The available bibliometric record offers a useful quantitative starting point for such evaluation. [2]

Publications

The Scopus author information associated with Cheng-I Chen records 82 documents. This publication count indicates a substantial body of indexed scholarly output, although document types and individual publication subjects are not specified in the supplied record. Detailed evaluation should therefore refer to the underlying bibliographic entries rather than infer publication themes from aggregate metrics. [3]

Research Impact

The recorded citation count of 1,763 and h-index of 21 provide measurable indicators of scholarly visibility. Citation metrics can help contextualize research influence but should be interpreted alongside publication quality, field-specific citation patterns, collaboration, and substantive research contributions. Accordingly, these indicators represent evidence for assessment rather than definitive measures of overall academic impact. [1]

Award Suitability

The Best Researcher Award consideration is supported by the documented academic affiliation, indexed publication record, citation activity, and h-index associated with Cheng-I Chen. The stated research classification in Utilities Analytics aligns with a data-focused research recognition context. Final award assessment should consider verified publications, originality, research quality, contribution, and other applicable evaluation criteria.[2]

Conclusion

Cheng-I Chen’s documented profile combines affiliation with National Central University and a Scopus-indexed record of 82 documents, 1,763 citations, and an h-index of 21. Within Utilities Analytics, these indicators provide a structured basis for academic recognition. Comprehensive evaluation should supplement bibliometric measures with verified evidence of research quality, originality, and contribution. [3]

References

  1. Frequency and Voltage Stabilization With Polynomial Petri Fuzzy Neural Network Based Control Strategy for Microgrid Clusters.
    https://www.researchgate.net/publication/393347179_Frequency_and_Voltage_Stabilization_With_Polynomial_Petri_Fuzzy_Neural_Network_Based_Control_Strategy_for_Microgrid_Clusters
  2. Optimizing Household Energy Consumption with PSO-Based Load Scheduling Strategy.
    https://www.researchgate.net/publication/400250110_Optimizing_Household_Energy_Consumption_with_PSO-Based_Load_Scheduling_Strategy
  3. Dispatch Optimization of Energy Management for Microgrid System Based on Firefly Moving Regression with Reinforcement Learning Strategy.
    https://www.researchgate.net/publication/395567448_Dispatch_Optimization_of_Energy_Management_for_Microgrid_System_Based_on_Firefly_Moving_Regression_with_Reinforcement_Learning_Strategy