Top Research Papers on Google Scholar

This paper investigates 3,073,351 citations found by these six data sources to 2,515 English-language highly-cited documents published in 2006 from 252 subject categories, expanding and updating the largest previous study.

The applications and trends in the use of GE and GEE are reviewed by analyzing peer-reviewed articles, dating up to January 2021, in the Web of Science core collection using scientometric analysis and meta-analysis.

Over the last 50 years, entrepreneurship as a scientific field has grown significantly - from a small emerging venture in the 1970s to a global industry today with thousands of people around the world who consider themselves entrepreneurship scholars. In this fast growing field there is always a risk that our history will get lost, with consequences in terms of lack of knowledge accumulation and understanding of the concepts and theories that we use in our research. Research on entrepreneurship has a long history. In this review I will focus on the modern history of entrepreneurship research b...

The result of the research finding prove that it is effective to use Google Classroom, one way to be considered by the schools and teachers to provide students by e learning that can be attracted for the students, while the process of teacher learning move to virtual classes.

It is found that VOSviewer can be used to give suggestions in the data analysis results and is allowed and provides an easy way of data analysis by utilizing mapping tools and provide analysis of research developments regarding digital learning media.

An audio dataset of spoken words designed to help train and evaluate keyword spotting systems and suggests a methodology for reproducible and comparable accuracy metrics for this task.

In S2ORC, a large corpus of 81.1M English-language academic papers spanning many academic disciplines is introduced, which is expected to facilitate research and development of tools and tasks for text mining over academic text.

The Seven Steps to Conducting, Analyzing, and Reporting Semi‐Structured Interview Data (7S CARS‐SID) for Pharmacy Services Research are proposed to provide novice qualitative researchers with a step‐by‐step introductory guide to conducting qualitative pharmacy services research using semi‐structured interview methods.

R users are proposed to receive an R package that wraps the Earth Engine Python API to provide R users with a familiar interface, rapid development features, and flexibility to analyze data using open-source, third-party packages.

The circumstances that led to this outcome, the challenges and opportunities observed, the approach taken for the chips, a quick review of performance, and finally a retrospective on the results are detailed.

A bibliometric analysis of the GEE platform is proposed, analyzing its cognitive structure related to the research in the Scopus database to analyze its scientific production.

This work presents a graph neural network estimator for estimated time of arrival (ETA) which has been deployed in production at Google Maps and proved powerful when deployed, significantly reducing negative ETA outcomes in several regions compared to the previous production baseline.

The kind of metadata that Crossref provides and how it is collected and curated are described and plans that will improve metadata quality and retrieval in the future are described.

Foreword - Michael Quinn Patton Preface - Gary J. Burkholder, Linda M. Crawford, Kimberley A. Cox, and John H. Hitchcock Acknowledgments About the Editors About the Contributors Part I: Foundations in Research Design Chapter 1: Introduction to Research - Gary J. Burkholder Chapter 2: Philosophical Foundations and the Role of Theory in Research - Gary J. Burkholder and Patricia M. Burbank Chapter 3: Conceptual and Theoretical Frameworks in Research - Linda M. Crawford Part II: Research Design and Analysis Chapter 4: Quantitative Research Designs - Kimberley A. Cox Chapter 5: Quantitative Analys...

A historically and theoretically informed discussion would shed light on the types of political processes that could be triggered by the COVID‐19 pandemic and help orient researchers and policy‐makers as they grapple with what has rapidly become the most urgent issue of the authors' times.

The study of ecosystem services enables the understanding of the services that ecosystems provide at the landscape level by explaining the relationship between natural capital, ecosystem services, and human wellbeing. The limited number of studies summarizing important themes and approaches used in this area constrain the ability of scholars and practitioners to initiate or incorporate ecosystem services in their own domains of research. This paper develops a structured process that traces efforts in this domain of knowledge and proposes a systematic review of key themes and approaches that ha...

Suggestions for future research include further exploration of the ethical implications of AI for education, the development of strategies to manage privacy concerns, and the investigation of how educational institutions can best prepare for the integration of AI technologies.

Investigating the potentials of an IPA, Google Assistant, for developing adolescent EFL learners’ WTC and their perceptions of IPAs for EFL learning indicated that IPA-based interaction provided a less threatening environment, in which learners displayed higher levels of engagement, motivation, confidence, and, in turn, their WTC in the target language.

Gegeemap is a Python package for interactive mapping with Google Earth Engine (GEE), which is a cloud computing platform with a multi-petabyte catalog of satellite imagery and geospatial datasets (e.g., Landsat, Sentinel, MODIS, NAIP).

Digital platforms have become central to interaction and participation in contemporary societies. New forms of ‘platformized education’ are rapidly proliferating across education systems, bringing logics of datafication, automation, surveillance, and interoperability into digitally mediated pedagogies. This article presents a conceptual framework and an original analysis of Google Classroom as an infrastructure for pedagogy. Its aim is to establish how Google configures new forms of pedagogic participation according to platform logics, concentrating on the cross-platform interoperability made ...