About
49
Publications
30,643
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662
Citations
Introduction
Additional affiliations
May 2016 - present
Education
January 2011 - December 2015
Publications
Publications (49)
In the field of computer science, both journal and conference publications are considered valuable. The popularity of an author is mostly determined by the paper’s high citations in a short time. Features that can help to attract higher visibility are not yet thoroughly investigated in the literature. This study aims to investigate the impact of th...
Author Name Disambiguation (AND) has emerged as a significant challenge in the bibliometric context with the growing volume of scientific literature. When citations written by different authors have the same names (polysemy or homonym names), and when an author has different names, there is ambiguity (synonyms or name variants). It is difficult to...
Finding the rising stars in any domain is an attention-grabbing research topic these days with its significant application in various domains. Existing literature covers some methods that find the possible rising stars in domains including community question answering networks, bibliographic networks, sports networks, and telecommunication networks...
Entity resolution is a challenging and hot research area in the field of Information Systems for the last decade. Author name disambiguation in bibliographic databases like DBLP 1, Citeseer 2 , and Scopus 3 is a specialized field of entity resolution. Given many citations of underlying authors, the author name disambiguation task is to find which c...
Finding the rising stars in any domain is an attention-grabbing research topic these days with its significant application in various domains. Existing literature covers some methods that find the possible rising stars in domains including community question answering networks, bibliographic networks, sports networks, and telecommunication networks...
Nowadays industries are more determined to improve the quality of software products. The concentration of researchers is more towards internal quality enhancement. Less attention has been given to the quality's definition from the user's perspective. The user wants to meet his goal with satisfaction that depends upon the usability of the software p...
Purpose
Citation is an important measure of quality, and it plays a vital role in evaluating scientific research. However, citation advantage varies from discipline to discipline, subject to subject and topic to topic. This study aims to compare the citation advantage of open access and toll access articles from four subfields of computer science....
Anomaly detection has evolved as a successful research subject in the areas such as bibliometrics, informatics and computer networks including security-based and social networks. Almost all existing anomaly detection techniques have some limitations and do not focus specifically on detecting anomalous groups. Anomaly detection is also a crucial pro...
In many natural science domains, while collaboration is inevitably becoming a vital factor for success, cultivating new promising researchers is becoming a by-product of this process. Young researchers or doctorate candidates can grow up quickly by the tutor's instructions, advanced experimental environment and fierce competition among themselves....
Topic modeling methods have usually been applied in the past to identify the research interests of researchers. Observing the scientific growth, the trending topics can be identified as Stable, Hot, or Cold. Finding rising stars (junior researchers, who are at the start of their career) from a bibliometric network is a challenging task, specificall...
COVID-19 has created anxiety not only in individuals but also in health organizations, and countries worldwide. Not a single industry is left un-influenced and loss is being estimated in billions of dollars. The widespread of this pandemic disease has challenged researchers all over the world. Some of the researchers are working to invent its cure...
COVID-19 emerged in Wuhan and is later declared as a pandemic by World Health Organization. Different-aged people have varying gender-wise immunity control properties that necessitates understanding COVID-19 impact on age and gender which does not exist, currently. In this paper, COVID-19 surveillance variables are extensively studied along with ho...
Entity resolution is a challenging and hot research area in the field of Information Systems since last decade. Author Name Disambiguation (AND) in Bibliographic Databases (BD) like DBLP , Citeseer , and Scopus is a specialized field of entity resolution. Given many citations of underlying authors, the AND task is to find which citations belong to...
Finding Rising Stars (FRS) is a hot research topic investigated recently for diverse application domains. These days, people are more interested in finding people who will become experts shortly to fill junior positions than finding existing experts who can immediately fill senior positions. FRS can increase productivity wherever they join due to t...
There is increased interest in deploying big data technology in the healthcare industry to manage massive collections of heterogeneous health datasets such as
electronic health records and sensor data, which are increasing in volume and variety
due to the commoditization of digital devices such as mobile phones and wireless
sensors. The modern heal...
The anticipation of ongoing human interactions is not only highly dynamic and challenging problem but extremely crucial in applications such as remote monitoring, video surveillance, human-robot interaction, anti-terrorists and anti-crime securities. In this work, we address the problem of anticipating the interactions between people monitored by s...
In bibliometric and scientometric research, the quantitative assessment of scientific impact has boomed over the past few decades. Citations, being playing a major role in enhancing the impact of researchers, have become a very significant part of a plethora of new techniques for measuring scientific impact. Self-citations, though can be used genui...
Part of speech (POS) tagging, the assignment of syntactic categories for words in running text, is significant to natural language processing as a preliminary task in applications such as speech processing, information extraction, and others. Urdu language processing presents a challenge due to the dual behaviour of various Urdu POS tags in differi...
Purpose
The purpose of this paper is to trace the knowledge diffusion patterns between the publications of top journals of computer science and physics to uncover the knowledge diffusion trends.
Design/methodology/approach
The degree of information flow between the disciplines is a measure of entropy and received citations. The entropy gives the u...
Every field is being evolved in a new direction with the technological advancement. In case of healthcare, the traditional system is being transferred over to cloud with integration of Internet of Things (IoT) inclusive of all the smart devices, wearable body sensors and mobile networks. This healthcare community cloud would be a beginning of conte...
Software Requirements Engineering has paved its roots in both industry and academia, as today's complex systems are programmed to provide efficient user-centric functionalities. This also refers to the emergence of challenges in Requirements Elicitation techniques, approaches and tools while performing them. Particularly, in the area of Requirement...
Purpose
Citation analysis is an important measure for the assessment of quality and impact of academic entities (authors, papers and publication venues) used for ranking of research articles, authors and publication venues. It is a common observation that high-level publication venues, with few exceptions ( Nature , Science and PLOS ONE ), are usua...
Every field is being evolved in a new direction with the technological advancement. In case of healthcare, the traditional system is being transferred over to cloud with integration of Internet of Things (IoT) inclusive of all the smart devices, wearable body sensors and mobile networks. This healthcare community cloud would be a beginning of conte...
With the increase in collaboration among researchers of various disciplines, changing the research topic or working on multiple topics is not an unusual behavior. Several comprehensive efforts have been made for predicting, quantifying, and studying the researcher’s impact. The question, that how the change in the field of interest over time or wor...
Players are ranked in various sports to show their importance over other players. Existing methods only consider intra-type links (e.g., player to player and team to team), but ignore inter-type links (e.g., one type of player to another type of player, such as batsman to bowler and player to team) based on cognitive aspects. They also ignore the s...
Purpose
This study reviews the methods found in the literature for the ranking of authors, identifies the pros and cons of these methods, discusses and compares these methods. The purpose of this paper is to study is to find the challenges and future directions of ranking of academic objects, especially authors, for future researchers.
Design/met...
Healthcare has seen a great evolution in current era in terms of new computer technologies. Intensive medical data is generated that opens up research in healthcare analytics. Coping with this intensive data along with making it meaningful to deliver knowledge and be able to make decisions are the most important tasks. To deduce the authenticity of...
Purpose
Link prediction in Social Networks refers towards inferring the new interactions among the users in near future. Citation Networks are constructed based on citing each other papers. Reciprocal link prediction in citations networks refers towards inferring about getting a citation from an author, whose work is already cited by you.
Design/...
Finding rising stars is a challenging and interesting task which is being investigated recently in co-author networks. Rising stars are authors who have a low research profile in the start of their career but may become experts in the future. This paper introduces a new method Weighted Mutual Influence Rank (WMIRank) for finding rising stars. WMIRa...
Measuring the impact and productivity of an author is an important, yet a challenging task. Most of the existing methods for ranking or indexing of authors are based on simple parameters such as publication counts, citation counts and their combinations. These methods are topic independent, hence ignoring the intra-field differences. This study int...
Young scholars in academia often seek to work in collaboration with top researchers in their field in pursuit of a successful career. While success in academia can be defined differently, everyone agrees that training with a well-known researcher can help lead to an efficacious career. This study aims to investigate whether collaborating with estab...
The user participatory nature of the social web has revolutionized the use of the conventional web. The social web is an integral part of our daily life. Due to the resulting exponential growth of the social web, a number of research domains have emerged, involving research activities that aim to study human nature, to analyse human sentiments and...
Machine learning and Statistical techniques are powerful analysis tools yet to be incorporated in the new multidisciplinary field diversely termed as natural language processing (NLP) or computational linguistic. The linguistic knowledge may be ambiguous or contains ambiguity; therefore, various NLP tasks are carried out in order to resolve the amb...
Online bibliographic databases are providing significant resources to conduct analysis of academic social networks. We believe that work of an author is always influenced by work of his or her co-authors. In this study, we investigate the impact of productivity and quality of work of an author's co-authors on his or her ranking along with his own c...
Different author productivity indexing methods have been proposed in order to rank scientists on the basis of their research work. The author productivity indexing methods present in literature do not consider the topic based contribution of authors for assigning them the weighted citations in a multi-authored paper. This study proposed TSWC-index...
Named entity recognition(NER) and classification is a very crucial task in Urdu. One challenge among the others which makes Urdu NER task complex is the non-availability of enough linguistic resources. The NER research for English and other Western languages has a long tradition and significant amount of work has been done to solve NER problems in...
With constant growth in size of analyzable data, ranking of academic entities is becoming an attention grabbing task. For ranking of authors, this study considers the author's own contribution, as well as the impact of mutual influence of the co-authors, along with exclusivity in their received citations. The ranking of researchers is influenced by...
Topic-based ranking of authors, papers and journals can serve as a vital tool for identifying authorities of a given topic within a particular domain. Existing methods that measure topic-based scholarly output are limited to homogeneous networks. This study proposes a new informative metric called Topic-based Heterogeneous Rank (TH Rank) which meas...
Data grid is a distributed collection of storage and computational resources that are not bounded within a geophysical location. It is a fast growing area of research and providing efficient data access and maximum data availability is a challenging task. To achieve this task, data is replicated to different sites. A number of data replication tech...
Data replication is a well known solution to provide high
data availability in data grid environment. Optimal
placement of replica is very important to achieve the
maximum possible gains from replication. There is a wide
range of techniques that are available for Replica
Placement in data grid environment. Any replication
algorithm must answer some...
Projects
Projects (4)
The aim of this object is to use standard data mining functionalities for object ranking, prediction, clustering etc.
This project is aimed at exploring methods for ranking people in different domains like but not limited to academia, sports, and business.