Scientific Research
Informatics

What We Do

Welcome to ITU Scientometrics Lab!

The Scientometrics Lab at ITU studies scientific and academic research from a scientific point of view; the dynamics of scientific research and its connections to technology, innovation and society are chartered here through the use of bibliometric indices and semantic techniques. Bibliometrics have played an important role in stimulating the use of performance indicators and the current demand for research assessment reports can indeed be seen as a measure of success for the field.

ITU Scientometrics Lab is concerned with the quantitative features and characteristics of science and scientific research.

Recent Project

ITU Scientometrics Lab has been working on several research projects. Among these programs, a key project is the ITU Quality Research Ranking, which is intended to provide objective data and analyses to benchmark research performance in traditional disciplinary subject areas and in interdisciplinary areas for the purpose of strengthening the quality and impact of research. The ITU Quality Research Rankings supports universities to determine their own research profile and identify niche areas in which they can excel; to make more rational strategic and resource allocation decisions; and to publicize program strengths.

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Overall Rating

The overall rating provides a measure of the comprehensiveness of research strengths across the 27 level-1 categories and is a good starting point for a university to quickly identify broad areas of strength or weakness, which can then be further investigated using the subject rating and benchmarking functions.

Subject Area Ratings

Subject areas are organized into a hierarchy with 27 level-1 categories and 250 level-2 categories. The ratings can be carried out in any subject category at any level. he subject specific rating provides three views of rating results: All Indicators, Quality Focused & Volume Focused.

Projects

Take a look at some of our recent projects that charter dynamics of scientific research and its connections to technology, innovation and society through the use of bibliometric indices and semantic techniques.

ITU Quality Research Rankings for Pakistani Universities & Institutes

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The ITU Quality Research Rankings provide the measure of key dimensions of research performance: output, scholarly impact, volume and quality. The publication based indicators measure output; the citation indicators measure scholarly impact; and the h-index combines both.

Explaining the transatlantic gap in research excellence

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The paper has shown that European universities, despite their history and overall scientific production, fail to compete in both quality and volume faced with increasing competition at the top. We also show that in addition to the competition from the USA, there is also the competition from follower countries in Asia

Analyzing knowledge flows of scientific literature through semantic

3 In this project we present a new technique to semantically analyze knowledge flows across countries by using publication and citation data using our proposed topic model with distance matrix an extension of classic Latent Dirichlet Allocation model, .

A comprehensive examination of the relation of three citation-based ...

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Increasing investments in higher education and research, particularly in cutting edge science and technology, coupled with increasing public demand for accountability have driven the need for objective and quantitative measures of research performance.

A bibliometric study of research activity in ASEAN related to the EU in FP7 priority areas

5 In this project Two relevant recent developments in the area of science and technology (S&T) and related policy-making motivate this article: first, bibliometric data on a specific research area’s performance becomes an increasingly relevant source for S&T policymaking and evaluation..

Small-world phenomenon of keywords network based on complex network

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This project Based on the network comprised of 111,444 keywords of library and information science that are extracted from Scopus, and taken into consideration the major properties of average distance and clustering coefficients, the present authors …

A bibliometric study of the world’s research activity in sustainable development and its sub-areas using scientific literature

7This project presents a bibliometric study of the world’s research activity in Sustainable Development using scientific literature. The study was conducted using data from the Scopus database over the time period of 2000–2010.

A bibliometric assessment of scientific productivity and international collaboration of the Islamic World in science and technology (S&T) areas

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 This project analyzes scientific research landscape of the Islamic World in order to access the research productivity, scholarly impact and international collaborations across all Science and Technology (S&T) areas over the time period of 2000–2011, using the Scopus database.

Robust hybrid name disambiguation framework for large databases

 

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In many databases, science bibliography database for example, name attribute is the most commonly chosen identifier to identify entities. However, names are often ambiguous and not always unique which cause problems in many fields..

Tapping into intra- and international collaborations of the Organization of Islamic Cooperation states...

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This project analyzes the intra- and international collaboration of 11 member states of the Organization of Islamic Cooperation (OIC) in science and technology (S&T) disciplines in the period 1996–2010.

Alt-Index Measuring social impact of altmetrics related scientific literature using altmetrics

altmatrics
In this project We measure the impact of “altmetrics” field by deploying altmetrics indicators using the data from Google Scholar, Twitter, Mendeley, Facebook, Google-plus, CiteULike, Blogs and Wiki during 2010- 2014. To capture the social impact of scientific publications,.

Measuring international knowledge flows and scholarly impact of scientific research

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This project studies Intra and international collaboration of eleven member states of the Organization of Islamic Cooperation (OIC) in Science and Technology disciplines, by applying various bibliometric indicators, including our newly proposed ACS index that measures the intra collaboration strength of a region.


ITU journal ranking-A platform to consolidate Journals & Conferences Rankings

Untitled-1Independent intellectual creative capacity developed through research is essential in enabling countries to take control of exploring, planning, and implementing their own most appropriate sustainable development paths.

 

Our Team

Dr Saeed Ul Hassan
Director, Scientometric Lab
Dr. Saeed Ul Hassan earned his PhD in Information Management from Asian Institute of Technology, Thailand. He was then selected to work as a Post-Doctorate Fellow at the United Nations University International Institute for Software Technology in Macau.
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Iqra Safder
PhD Scholar
Iqra Safder has recently completed her MPhil Computer Science from PUCIT and has joined Scientometrics lab as PhD (CS) Scholar for her PhD research. Prior to that she has worked as Visiting Lecturer at PUCIT for 1.5 year. Her primary interests are Data warehousing and Semantic matching of Models.
Syed Uzair
Research Associate
Syed Uzair Ahmed earns Gold medal in his undergrad and recently completed his MS from ITU. He has experience of more than 6 years in the field software development. Currently, He is exploring alternate ways to measure scholarly impact in Scientometrics Lab in ITU.
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Awais Asghar
Research Associate
Awais Asghar is graduated in Computer Science from PUCIT in 2014 and is now pursuing MSCS from ITU. His primary interests are app development and Crawlers/Scraper Development. In spare time he tries to learn new technologies.
Imran Aslam
Research Associate
Imran is graduated in information technology from ICBS in 2014.His primary interests are user-centred design, visual design, interaction design, information architecture, accessibility and internet marketing.Previously he has worked in software industry and academic organizations.
Mubashir imran
Research Associate
Mubashir is graduated in Computer Science from UCP in 2014 and is now pursuing MSCS from ITU. His primary interest are Application Development, data scrapping and data mining. In spare time he tries to explore new technologies and develop mobile applications and plays video games.
Junaid Sarfaraz
Graduate Fellow
Junaid Sarfraz is graduated in Computer Science from PUCIT in 2015 and is now pursuing MSCS from ITU. His primary interests are application development, Data Mining and Information Retrieval. In spare time he tries to learn new technologies and play video games.

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