Remote Sensing 2017

Remote Sensing, published by Academic Ranking of World Universities, evaluates universities worldwide using key indicators such as CNCI, IC, PUB, TOP, each assigned a distinct weight according to a publicly documented methodology. Data sources combine academic peer reviews, employer surveys, bibliometric databases such as Scopus and Web of Science, and institutional self-reported statistics, all independently verified by the publisher's research team. The 2017 edition assessed 50 universities from 17 countries and regions, covering teaching quality, research output, internationalization, and graduate employability across undergraduate, master's, and doctoral programs. Academic Ranking of World Universities recollects raw data annually and cross-checks results to ensure the rankings reflect each institution's most current performance in faculty strength, scholarly productivity, global reach, and student outcomes, providing a reliable reference for prospective students, parents, and education researchers.

The top universities in Remote Sensing 2017 are: Wuhan University, University of Maryland, College Park, Beijing Normal University, California Institute of Technology, Paul Sabatier University (Toulouse 3). This edition, published by Academic Ranking of World Universities, evaluated 50 universities from 17 countries and regions using indicators such as CNCI, IC, PUB, TOP. Rankings reflect weighted performance across multiple dimensions; students should consider methodology differences and their own academic priorities when interpreting results.

ARWU (Academic Ranking of World Universities), created by Shanghai Jiao Tong University in 2003 as the world's first international university ranking, is based entirely on objective, verifiable academic indicators and uses no reputation surveys: alumni winning Nobel Prizes and Fields Medals (10%), faculty winning Nobel Prizes and Fields Medals (20%), highly cited researchers across subject fields (20%), papers published in Nature and Science (20%), papers indexed in SCIE and SSCI (20%), and per-capita academic performance (10%). In contrast, QS and THE both incorporate reputation questionnaires as core weights, while US News combines reputation surveys with bibliometric data. ARWU's transparent methodology and reproducibility make it authoritative for evaluating research strength and academic prestige.