Google’s implication in science

Everybody knows what Google means for web search, cloud computing, browsers, smartphones, etc. But now we want to measure Google as their contribution to science.

There’s a quantitative way to measure this contribution, and this is the number of papers and scientific reports presented and published.

Algorithms and Theory (222)

Artificial Intelligence and Data Mining (97)

Data and System Management (49)

Distributed Systems and Parallel Computing (141)

Education (8)

General Science (33)

Human-Computer Interaction and Visualization (96)

Hypertext and the Web (33)

Information Retrieval (75)

Machine Learning (180)

Machine Perception (117)

Machine Translation (34)

Natural Language Processing (140)

Security, Cryptography, and Privacy (112)

Software Engineering (61)

Speech Processing (15)

Systems (28)

These data is so important because they show the importance of Google besides their business. All this knowledge is behind decisions and businesses that Google is working nowadays.

Another data show the evolution of Google in the scientific field:

2011: 183*

2010: 257

2009: 303

2008: 251

2007: 209

2006: 130

2005: 56

2004: 17

2003: 13

2002: 5

2001: 5

2000: 3

1999: 2

1998: 3

*number of published papers

Tech Market Research

Technova @ Silicon Valley