sort-google-scholar | Sorting Google Scholar search results based on the number
kandi X-RAY | sort-google-scholar Summary
kandi X-RAY | sort-google-scholar Summary
sort-google-scholar is a Jupyter Notebook library typically used in Bitcoin, Latex applications. sort-google-scholar has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.
This Python code ranks publications data from Google Scholar by the number of citations. It is useful for finding relevant papers in a specific field. The data acquired from Google Scholar is Title, Citations, Links and Rank. A new columns with the number of citations per year is also included. The example of the code will look for the top 100 papers related to the keyword, and rank them by the number of citations. This keyword can eiter be included in the command line terminal ($python sortgs.py --kw 'my keyword') or edited in the original file. As output, a .csv file will be returned with the name of the chosen keyword ranked by the number of citations.
This Python code ranks publications data from Google Scholar by the number of citations. It is useful for finding relevant papers in a specific field. The data acquired from Google Scholar is Title, Citations, Links and Rank. A new columns with the number of citations per year is also included. The example of the code will look for the top 100 papers related to the keyword, and rank them by the number of citations. This keyword can eiter be included in the command line terminal ($python sortgs.py --kw 'my keyword') or edited in the original file. As output, a .csv file will be returned with the name of the chosen keyword ranked by the number of citations.
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Quality
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sort-google-scholar has a low active ecosystem.
It has 508 star(s) with 130 fork(s). There are 13 watchers for this library.
It had no major release in the last 6 months.
There are 5 open issues and 15 have been closed. On average issues are closed in 126 days. There are 4 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of sort-google-scholar is current.
Quality
sort-google-scholar has no bugs reported.
Security
sort-google-scholar has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
sort-google-scholar does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
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sort-google-scholar releases are not available. You will need to build from source code and install.
Installation instructions, examples and code snippets are available.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of sort-google-scholar
sort-google-scholar Key Features
No Key Features are available at this moment for sort-google-scholar.
sort-google-scholar Examples and Code Snippets
No Code Snippets are available at this moment for sort-google-scholar.
Community Discussions
No Community Discussions are available at this moment for sort-google-scholar.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install sort-google-scholar
SortGS is not available (yet) on PyPa. The most straight foward way to use it is the following:. If those steps are too complicated for you, send me an email with a list of keyworks that you'd like them ranked to: fernando [dot] wittmann [at] gmail [dot] com.
Install Python 3 and its dependencies from Requirements (suggestion: use Ananconda https://www.anaconda.com/distribution/)
Download the repository. Two ways to do this: Use the command git clone https://github.com/WittmannF/sort-google-scholar.git in your terminal (if linux/MAC) or CMD (if windows) Or download using this link: https://github.com/WittmannF/sort-google-scholar/archive/master.zip and unzip
Open the folder of sortgs on your terminal (if linux/MAC) or CMD (if windows)
Use the command python sortgs.py --kw "your keyword" (replace "your keyword" to any keyword that you'd like to search)
A CSV file with the name your_keyword.csv should be created.
Install Python 3 and its dependencies from Requirements (suggestion: use Ananconda https://www.anaconda.com/distribution/)
Download the repository. Two ways to do this: Use the command git clone https://github.com/WittmannF/sort-google-scholar.git in your terminal (if linux/MAC) or CMD (if windows) Or download using this link: https://github.com/WittmannF/sort-google-scholar/archive/master.zip and unzip
Open the folder of sortgs on your terminal (if linux/MAC) or CMD (if windows)
Use the command python sortgs.py --kw "your keyword" (replace "your keyword" to any keyword that you'd like to search)
A CSV file with the name your_keyword.csv should be created.
Support
In order to make contributions, all of the tests must be passed. In order to test the code, we will be using the DEBUG mode which is going to use a URL from web archive. Please make sure to save the URL you want to test on web archive in case it is different from the one I already saved. By default it only works in debug mode when using the keywords 'machine learning'. There are 6 tests and all of them are testing different aspects that should match when using SortGS. In order to run the test cases, just run:.
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