Top Academic Search Engines for Research
                     Top Academic Search 
Engines for Research
What is Academic Search 
Engine?
The academic search engine provides search 
results by localizing the scientific results 
required by the user. There are various types of 
search engines with different characteristics. 
The engines are preferred based on the required 
results. Through the academic search engine, 
users can access various journals, blogs, and 
magazines relevant to their input queries. For a 
long time, the academic search engines are 
assisting manuscript writers, researchers, and 
scholars. It also helps in reviewing the latest 
technologies and researches in the concerned 
field. 
How Searching 
Through General 
Search Engine and 
Academic Search 
Engine Different?
 While general search engine searches from 
the whole of the database that includes 
both relevant and irrelevant articles while 
academic search engine only searched 
through predefined journals, reviews, and 
abstracts.
 General search engines do not provide the 
quality and standard of results while many 
academic search engines have the option 
for determining the quality of the research.
 It is difficult to narrow the results on a 
general search engine in context to a topic 
while it is relatively easier in the academic 
search engine.
 The search results of general search 
engines are not organized and lack 
advanced search options that are available 
in almost all academic search engines.
 The databases available in academic 
search engines are further subdivided into 
the specialized database, a facility that is 
not available in general search engines.
Why Academic Search 
Engines are Required?
 Organized data: The data is indexed and 
organized in the academic search engine. 
This helps the researchers to avoid 
irrelevant information. The data is 
structured based on relevance and 
according to the most common search 
criteria.
 Authentic articles: Most search engines 
provide authentic and reliable research 
articles. Many of the search engines have 
access to various libraries that feed them 
with relevant and high-quality articles.
 Quality reviewed: Many search engines 
have their quality control team that assigns 
the quality grade to articles. This is of 
immense importance as many-a-time, the 
researchers require the articles published 
in journals with high impact factors.
 Easy access: As compared to a general 
search engine, the user experience in 
searching the research articles is favorable 
in academic search engines. For instance, 
if a researcher searches an article about a 
disease or drug, the general search engine 
provides both relevant and irrelevant 
articles.
What are the Various 
Types of Academic 
Search Engines?
 Google Scholar: Google Scholar, a 
product from Google, provides millions of 
relevant articles, books, thesis, and 
dissertations. Millions of documents are 
available in the Google scholar database. 
On entering the query, Google provides the 
results from various websites, universities, 
pharmaceutical societies, and journals.
 Microsoft Academic Search: Microsoft 
operates Microsoft academic research. It 
has millions of publications in its database. 
Apart from delivering thousands of articles 
for a single search query, this search 
engine also analyses data and present it in 
the form of graphs and charts.
 CORE: CORE has hundreds and thousands 
of research articles. It collects data from 
institutions, open access journals, and 
repositories.  CORE has found its 
importance in plagiarism detection, 
literature-based discovery, finding subject 
experts, and research impact evaluation. 
 BASE: The BASE is a powerful academic 
search engine with more than 150 million 
documents obtained from more than 7000 
sources. Bielefeld University Library 
operates BASE. Almost 60% of the indexed 
articles can be accessed in full texts. 
 CIteSeerX:  With a vision to improve the 
dissemination of scientific information 
among scholars and researchers, the 
search engine mostly provides the freely 
accessible article. CIteSeerX provides data 
for non-commercial purposes. 
 Semantic Scholar: Allen Institute for 
Artificial Intelligence developed semantic 
scholar and made it public in 2015. It 
incorporates the use of Artificial 
Intelligence to provide an optimum user 
experience. The number of papers in this 
search engine is more than 179 million. 
 Science.gov: Science.gov provides free 
results related to technical and scientific 
information. It has over 200 million pages, 
with searching access to over 60 databases 
and 2200 websites. No registration is 
required to access the information and is 
designed for scholars, researchers, 
students, entrepreneurs, and teachers.
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