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. The keywords and key phrases are incorporated into the journals and research blogs to gain a higher rank in the academic search engine.
How Searching Through General Search Engine and Academic Search Engine Different?
Although various search engines such as google and yahoo are available yet researchers and manuscript writers prefer to use academic search engines for searching references and writing research articles. This indicates that there is a significant difference between a general search engine and an academic search engine. Following are some of those differences:
- 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?
Academic search engines play an important role in improving the knowledge and advancing further research in a technical filed. Through academic search engines, the researchers can gain access to reliable and authentic information with ease. Reasons for searching through academic search engines are:
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 favourable 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?
Following are some of the 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. CORE is also used by various institutions in managing the repository content and to discover open access content.
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. There is a data resource inventory available at the BASE which improves search transparency.
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. Created in 1997 and became public in 1998, the search engine contains various innovative features then.
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. Semantic scholar provides the most influential papers in the results of query more effectively as compared to Google Scholar and PubMed.
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.