Using Search Engine Count Estimates as Indicators of Academic Impact: A Web-based Replication of Haggbloom et al.’s (2002) Study

نویسندگان

  • Matthias Spörrle
  • Andranik Tumasjan
چکیده

Using a complex set of quantitative and qualitative indicators of scientific importance, Haggbloom et al. [1] compiled a ranking of the most eminent psychologists of the 20th century. The present study set out to replicate this rankordered list using simple search engine count estimates (SECEs) obtained from three popular internet search engines. In line with our expectations, our results revealed a small, but significant relationship between SECEs and the existing offline ranking when the query specified the scientist’s field of research (i.e., psychology). Our results imply that SECEs may be considered easy to apply indicators of a researcher’s impact.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A New Hybrid Method for Web Pages Ranking in Search Engines

There are many algorithms for optimizing the search engine results, ranking takes place according to one or more parameters such as; Backward Links, Forward Links, Content, click through rate and etc. The quality and performance of these algorithms depend on the listed parameters. The ranking is one of the most important components of the search engine that represents the degree of the vitality...

متن کامل

Investigating and Assessing Soil's Texture and Density in Different Land Uses Via Google Earth Engine System

Introduction: Awareness of soil quality in agricultural lands and natural resources is essential to achieve maximum production and environmental sustainability. Although soil quality is not directly assessed, soil quality indicators are widely used today, including the physical indicators which are of great importance in measuring the soil quality, as they directly influence the plant growth an...

متن کامل

Prioritizing flood producing potential in ungauged watersheds using the AHP-VIKOR method (Case study: Haji-Bakhtiar Watershed, Ilam)

Extended abstract 1- Introduction Flood is one of the most complex and destructive natural phenomena that cause significant damage to agriculture, fisheries, housing, and infrastructure and significantly affects social and economic activities (Chang et al., 2008). The relationship between geomorphological and hydrological parameters makes it possible to predict floods in gauged basins and gen...

متن کامل

Web pages ranking algorithm based on reinforcement learning and user feedback

The main challenge of a search engine is ranking web documents to provide the best response to a user`s query. Despite the huge number of the extracted results for user`s query, only a small number of the first results are examined by users; therefore, the insertion of the related results in the first ranks is of great importance. In this paper, a ranking algorithm based on the reinforcement le...

متن کامل

Towards Supporting Exploratory Search over the Arabic Web Content: The Case of ArabXplore

Due to the huge amount of data published on the Web, the Web search process has become more difficult, and it is sometimes hard to get the expected results, especially when the users are less certain about their information needs. Several efforts have been proposed to support exploratory search on the web by using query expansion, faceted search, or supplementary information extracted from exte...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2011