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.

Flagship Project

ITU Scientometrics Lab has been working on several research projects. Among these programs, a key project is the ITU Quality Research Ranking of Muslim World, The 2017 version of ITU-QRR provides the key quality dimension of research performance by more than 450 universities and institutes of more than 30 countries from the Muslim World, using Scopus database. The results provide useful information to the scientific community, as well as to the higher education policy makers.

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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.

Identifying Important Citations using Contextual Information from Full Text

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In this project we address the problem of classifying cited work into important and non-important to the developments presented in a research publication. This task is vital for the algorithmic techniques that detect and follow emerging research topics and to qualitatively measure the impact of publications in increasingly growing scholarly big data.

Transatlantic gap in research excellence

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The research 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

The global research benchmarking system

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To support strategic decision making, universities require research benchmarking data that is sufficiently fine-grained to show variation among specific research areas and identify focused areas of excellence; is objective and verifiable; and provides meaningful comparisons across the diversity of national higher education environments.. , .

Creation and the consumption of scientific knowledge across regions.

dfffIn this project we present an innovative research that integrates the creation and the consumption of scientific knowledge across regions. From a human behavior point of view this is significant, since it provides an advanced decision making layer for bringing together researchers from all over the world

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

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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.

Knowledge Flows by Citation Context Analysis

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In this project we measure the knowledge flows among the countries by analyzing publication and citation data. We argue that not all citations are equally important, therefore, in contrast to existing techniques that utilize absolute citation counts..

Analyzing knowledge flows of scientific literature through semantic

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. .

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.

Our Team

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.
Imran Aslam
Research Associate
Imran is graduated in information technology from Comsats, Lahore in 2014.His primary interests are user-centered design, visual design, interaction design, IA, 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 later MSCS from ITU in 2017. 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.
Aneela Saleem
Graduate Fellow
Aneela is graduated in Computer Science from PUCIT in 2014. Currently she is enrolled in MSCS at ITU and joined Scientometrics lab as a graduate fellow. Her primary interests are Big Data Analytics and Machine Learning. She is eager to learn about new technologies in her spare time

Scientists | Researchers | Analysts

Team S-Lab

Alumni

Syed Uzair
Research Associate
Syed Uzair Ahmed earns Gold medal in his undergrad and recently completed his MS from ITU Lahore He has experience of more than 6 years in the field of software development. Currently, He is exploring alternate ways to measure scholarly impact in Scientometrics Lab in ITU Lahore, Pakistan
Zunaira Jamil
Research Assistant
Zunaira Jamil, graduated in Computational Physics with specialization in the use of computational methods to all fields/branches of physics including mechanics ,molecular and fluid dynamics, plasma physics and nuclear physics,from University of Punjab. and recently done her MSCS from ITU Lahore, Pakistan
Raheem Sarwar
Research Associate
Raheem is currently a PhD student in department of computer science at city university of hong kong. He received his Masters degree in computer science from Information Technology University Punjab. His research interests include scientific data management, large-scale machine learning and scientometrics.
Awais Asghar
Research Associate
Awais Asghar is graduated in Computer Science from PUCIT in 2014 and later MSCS from ITU in 2017. His primary interests are app development and Crawlers/Scraper Development. In spare time he tries to learn new technologies.
Junaid Sarfraz
Graduate Fellow
Junaid 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.

Fundings

  1. Building partnerships for hemophilia awareness and treatment provision [ May 1, 2017 to April 30, 2019 ]  Funds = $76070, Funding Organization: Novo Nordisk Foundation.
  2. Ranking for Muslim World Universities, ITU Quality Research Rankings (ITU-QRR) [ July 1, 2016 to June 30, 2017 ]  Funds = ITU Funded, Funding Organization: Information Technology University
  3. ITU Quality Research Rankings (ITU-QRR)  [ July 1, 2015 to June 30, 2016 ]  Funds = ITU Funded, Funding Organization: Information Technology University
  4. Dragon – Sustaining Technology and Research (EU-China Collaboration) [ July 1, 2013 to June 30, 2015 ]  Funds = $20000, Funding Organization: European Commissione
  5. UNESCO UIS – Higher Education, Science and Technology in East and South Asia [ Jan 1, 2012 to Dec 30, 2012 ]  Funds = $30000, Funding Organization: UNESCO
  6. Global Research Benchmarking System (GRBS) [ Jan 1, 2011 to Dec 30, 2013 ]  Funds = $60000, Funding Organization: Elsevier

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