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.

Welcome to ITU Scientometrics Lab! August 17th, 2016saeedslab

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

Our Philosophy is September 9th, 2016saeedslab

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 2019 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.Please find the details at the following URL: http://rankings.itu.edu.pk/

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Projects

Deep Stylometry and Lexical & Syntactic Features based Author ...

In this paper, we address the problem of author attribution through unsupervised clustering using lexical and syntactic features and novel deep learning based Stylometric model. For this purpose, we download all available 158918 publications accessible till 1 July 2015 from PLOS.org – an open access digital repository of full text publications.

Altmetrics: A new way to measure social impact of scientific literature

In this project we measure the impact of scientific publications by deploying altmetrics indicators using the data from Google Scholar, Twitter, Mendeley, Facebook, Google-plus, CiteULike, Blogs and Wiki To capture the social impact of scientific publications,.

Detecting Target Text related to Algorithmic Efficiency in Full ..

In this paper,We are observing an exponential growth of scientific literature since the last few decades. Tapping on the advancement of web-enabled tools and technologies, millions of articles are stored and indexed in the digital libraries. Among this archived scientific literature.

Identifying Important Citations using Contextual Information from Full Text

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.

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

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

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

This 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

 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

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...

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.by applying various bibliometric indicators along with publication and citation counts and our proposed .

Explaining the Transatlantic gap in research excellence

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

Measuring international knowledge flows and scholarly...

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

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 countsto quantify knowledge …

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 ...

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

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.

Creation and the consumption of scientific knowledge across regions.

In 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

The global research benchmarking system

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 ..  .

Projects July 16th, 2019saeedslab

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 (UNU-IIST) in Macau.

Iqra Safder

PhD Scholar

Iqra Safder has completed her MPhil Computer Science from PUCIT and joined Scientometrics lab in 2016 as Ph.D. (CS) Scholar for her Ph.D. research. Prior to that, she has worked as Visiting Lecturer at PUCIT for 1.5 years. Her primary interests are Digital libraries, Text mining and Deep Learning.

Anwar Said

PhD Scholar

Anwar Said is a PhD candidate in Scientometrics lab with particular interests in Social Network Analysis, Scientometrics and Machine Learning. He holds an M.Phil degree in Computer Science from Quaid-i-Azam University and master's degree from University of Swat.

Hajra Waheed

PhD Scholar

Hajra has completed her MPhil Computer Science from LCWU and has joined Scientometrics lab as a Ph.D. scholar. Prior to that, she has worked as a Lecturer Internee at Govt. Model Town College. Her research interests include Social Media Analytics, Data Science and Educational Data Mining.

Farooq Zaman

PhD Scholar

Farooq Zaman is a Ph.D. Scholar associated with Scientometrics Lab at Information Technology University. He received MPhil degree in CS from Quaid-i-Azam University, Islamabad. His research interests are in the area of Text Processing, Natural Language Processing and Crime Analytics.

Sehrish Iqbal

Research Associate

Sehrish Iqbal is an ITU postgraduate, with majors in Data Science . Prior to that she has worked as a Lecturer Internee at Govt. MAO College. Her primary interests are Text Mining, Machine Learning, Data Science and Social Media Analytics. She is eager to learn about new technologies in her spare time.

Shafaq Malik

Research Assistant

Shafaq is a CS graduate from FJWU, Rawalpindi. Currently, she is pursuing her Masters in Data Science from ITU. She has joined SLab as a research assistant for an ACA-NRPU funded project. Her areas of interests are Data Science, Big Data Analytics, Machine Learning, Artificial Intelligence, and Deep Learning.

Rutaba Niazi

Research Assistant

Rutaba Niazi is doing Master's from ITU with Data Science as her major. Prior to that, she has worked as a Lecturer in Govt. College for Women, Model Town and Muhammad Nawaz Shareef University of Agriculture, Multan. She is interested in the fields of Natural Language Processing, Deep Learning and Big Data.

Scientists | Researchers | Analysts

Our Team November 21st, 2015saeedslab

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.

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, User Flows Prototyping, User Interface, HTML/CSS and internet marketing.

Mubashir Imran

research Associate

Mubashir is perusing his PhD from University of Queensland, Australia. He received his Masters degree in Computer Science from Information Technology University. His research interests include Algorithms, Embedded Networks, Data Science, Machine Learning, Deep Learning and Altmetrics.

Tajwar Nasir

Intern

Tajwar is an undergraduate student, originally from Lahore, studying Computer Science at the University of Oxford. She joined Scientometrics Lab as an Intern. She is particularly interested in Computational Semantics, Cognitive Computing, and Algorithmic Complexity.

Muhammad Junaid Pahat

Graduate Fellow

Junaid is currently working in an AI based firm Addo ai. He is a CS graduate from NUCES-FAST (Lahore). Currently, pursuing his MS in Data Science from ITU and joined Scientometrics Lab as a graduate fellow. With an infectious enthusiasm for technology he has gained immense knowledge in Data Sciences, Text mining, Deep Learning and Data Warehouse.

Hafsa Batool

Research Associate

Hafsa is CS graduate from PUCIT, After that she worked as a programmer in AutoSoft Dynamics, and Database TA in PUCIT. Currently she is doing MS-CS from ITU and joined Slab as a Research Associate. Her areas of interest are Machine learning, Deep learning and Data Science.

Salman Ahmed

Graduate Fellow

Salman is CS graduate from Fast University Lahore. Currently he is doing MS-CS from ITU and joined Slab as a Graduate Student. Now, he is working on prediction system of the Forex market. His areas of interest are Computer vision, deep learning, robotics and embedded systems.

Alumni February 16th, 2017saeedslab

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

Fundings May 29th, 2017saeedslab

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Contact November 18th, 2015saeedslab