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The project has been divided into 2 main part:

Turkey’s participation share in publication of specific sub-category. Comparision of Countries participation in a specific field of study in last 20 years. In this regard, we have used Scopus data base. With Data mining these data have been extracted from Scopus by the help of PyScopus one of Python wrappers.

2 index have been proposed to calculate

Actual to expected number of articles ratio based on related country & Actual to expected number of citation ratio based on related country:

1. GDP Share

2. Population

Some results:

Number of articles published

Top 5 based on GDP share

Average Actual/Expected Number of Articles ratio Based on Population Share for Country above their expectation in the Field of * in Top Venues (1999-2018)

Top 5 based on population rate

Average Actual/Expected Number of Articles ratio Based on GDP Share for Country above their expectation in the Field of * in Top Venues (1999-2018)

Top 20 countries ranking based on Number of published articles, actual to expected number of articles ratio based on both GDP and population 1999-2018

Turkey's Number of articles in Top Venues* in the field of * 2014-2018

Turkey's percentage of published articles in Top Venues* in the field of * 2014-2018

Top 5 countries sorted by annual ratio of actual to expected number of Citation based on GDP 1999-2018

Actual to expected number of citation ratio based on related country GDP Share

Average Actual/Expected Number of citation ratio Based on GDP on world Map in the Field of Theoretical Computer Science in Top Venues (1999-2018)

Actual to expected number of citation ratio based on related country population 1999-2018

Actual to expected number of citation ratio based on related country population

Average Actual/Expected Number of citation ratio Based on population on world Map in the Field of Theoretical Computer Science in Top Venues (1999-2018)