Bibliometrics Data Analysis with MS Excel & VOSviewer | Step-by-Step Tutorial | Hindi

Welcome to our comprehensive tutorial on bibliometrics data analysis using MS Excel and VOSviewer! Bibliometrics is a powerful method for analyzing and visualizing trends in academic research. In this video, we'll walk you through the entire process, from data collection to insightful visualizations.
📊 In this video, you'll learn:
How to gather bibliometric data from various sources
Cleaning and preparing your data for analysis
Using MS Excel for data manipulation and organization
Introduction to VOSviewer for network analysis
Visualizing co-authorship networks and keyword co-occurrence maps
Interpreting the results to gain valuable insights
Whether you're a researcher, librarian, or student, mastering bibliometrics can enhance your understanding of research trends and help you make informed decisions. Follow along with us to unlock the full potential of your bibliometric data!
🔗 Helpful Links:
Dimensions.ai: Data Extraction, Filtration, Cleaning for Bibliometric Analysis
• Dimensions.ai: Data Ex...
Microsoft Excel Functions (Step by Step)
• Excel Functions (Step ...
Don't forget to like, share, and subscribe for more data analysis tutorials and tips! If you have any questions or suggestions for future videos, please leave them in the comments below.
#Bibliometrics #DataAnalysis #MSExcel #VOSviewer #ResearchTrends #AcademicResearch #DataVisualization #ResearchAnalysis #ExcelTutorial #BibliometricAnalysis #DataCleaning #KeywordCooccurrence #CoAuthorshipNetworks #ResearchInsights #AcademicLibrary #ResearcherTools #Scientometrics
#ResearchMetrics
#BibliometricAnalysisTools
#AcademicMetrics
#DataVisualizationTools
#ResearchImpact
#ResearchData
#AcademicInsights
#ScholarlyAnalysis
#DataCleaningTechniques
#ResearchTrendsAnalysis
#BibliographicData
#BibliometricResearch
#BibliometricMapping
#DataAnalysisSkills
#AcademicLibraryResources
#AcademicCommunity
#ScienceMetrics
#ResearchDiscovery
#DataAnalysisMethods #Hindi #Axonist

[@ratneshyadav8805]

Nicely described

[@Axonist]

Thanks for your kind words

[@pertiashwin]

Really sir this is a very informative video used for the Bibliometric analysis. Please add some more titles to the series to make it more Memorable.
thanks for the wonderful videos

[@Axonist]

Noted... thanks for your kind words. I will try to deliver some more informative content soon.

[@SumitGupta-dc8je]

Excellent explanation....

[@Axonist]

Thanks brother

[@easyhai9949]

Brother you are the epitome of the knowledge and the way you taught is very easy to understand. Really thanks a lot. Dimension only allow to download the 500 documents of the data what do in this case. kindly help me in this regard.

[@Axonist]

Thank you for your kind words. Dimensions.ai restricts data downloads to a maximum of 2,500 datasets per request. To obtain a larger dataset, you can use filters such as years or document types. For instance, if you wish to download data spanning ten years from 2010 to 2020, you should initially select a year range, such as 2010-2013, which fits within the download limit (2,500 articles). Download this range first, then proceed to download the subsequent years (2014-2017), and so on. Finally, merge all the downloaded files into a single dataset for further data analysis.

[@easyhai9949]

@@Axonist superb as I mentioned earlier you are genius. Many thanks 🙏

[@Axonist]

Thanks for your kind appreciation@@easyhai9949

[@bapu78]

Excel wala 1st data kaha se mila sir

[@Axonist]

Hi! The first data set in the tutorial was obtained from a bibliographic database like Dimensions.ai or Web of Science or Scopus. You can download similar data by searching for relevant research articles and exporting the citation data. Let me know if you need more details on how to do this!

[@chiragchoudhary102ksubscri9]

Super it is

[@Axonist]

Thanks for your kind words