Homepage  |  Publications  |   Software  |   Courseware; indicators  |   Animation  |   Geo  |   Search website (Google)

 

GScholar.EXE

(updated on December 26, 2009)

 

This program reads an ASCII text file entitled google.txt as input. The file can be composed by cutting and pasting output of Google Scholar (English language version!) into a single file using an ASCII editor like Notepad (using Ctrl-A, Ctrl-C, Ctrl-V). The routine assumes that the links to a citation manager (e.g., EndNote) are turned on under the Google Scholar preferences. (This information is used to delimit the records.) Save the file as a DOS text file (with CR + LF if in Word). If ASCII is not available as format, choose Unicode.

 

The output is organized in two files named records.dbf and au.dbf which can be related through the field "nr". Records contains the unique information

such as title, journal name, publication year, and times cited; au.dbf organizes individual author names in the case of coauthorship. The file au.dbf allows for the construction of a coauthorship network. The .dbf files can be read by, for example, Excel, SPSS, and MSAccess (for relational database management).

 

For generating a coauthorship network from this data, Sanjeev Jha (UIC) suggests to do the following:

Open file "AU" in Excel. Click on cell A1. Click on Data Menu and choose Pivot Table and Pivot Chart. Click on finish, which creates a new spreadsheet. Drag and drop "AU" and "NR" in "Drop Row Fields" and "Drop column Fields". Then drag and drop "NR" in the center at Drop Data Items. This will create an author by NR matrix. You can use UCINET or any other software to create a co-authorship network.

 

See for most applications of Google Scholar also: Anne-Will Harzing’s Publish or Perish.

 

 

Google.EXE

 

This program reads an ASCII text file entitled google.txt as input. The file can be composed by cutting and pasting output of Google into a single file using an ASCII editor like Notepad (using Ctrl-A, Ctrl-C, Ctrl-V).

 

The output is organized in two files named records.dbf which contains two fields: the information line and the web link. The .dbf files can be read by, for example, Excel, SPSS, and MSAccess (for relational database management).

 

 

 

 

The Google output is dependent on the browser when saved as html. Therefore, these programs use the .txt format. The data is best prepared by cutting and

pasting the files into a single file using an ASCII editor (Ctrl-A, Ctrl-C, Ctrl-V). The programs delete irrelevant information automatically.

 

Please, provide feedback if you find an error.

 

 

@ Loet Leydesdorff, July 2008