Ussama Yaqub

514 total citations
15 papers, 320 citations indexed

About

Ussama Yaqub is a scholar working on Artificial Intelligence, Sociology and Political Science and Statistical and Nonlinear Physics. According to data from OpenAlex, Ussama Yaqub has authored 15 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 7 papers in Sociology and Political Science and 6 papers in Statistical and Nonlinear Physics. Recurrent topics in Ussama Yaqub's work include Sentiment Analysis and Opinion Mining (10 papers), Misinformation and Its Impacts (7 papers) and Social Media and Politics (4 papers). Ussama Yaqub is often cited by papers focused on Sentiment Analysis and Opinion Mining (10 papers), Misinformation and Its Impacts (7 papers) and Social Media and Politics (4 papers). Ussama Yaqub collaborates with scholars based in Pakistan, United States and Netherlands. Ussama Yaqub's co-authors include Vijayalakshmi Atluri, Soon Ae Chun, Jaideep Vaidya, Nitesh Sharma, Deniz Appelbaum and Zamil S. Alzamil and has published in prestigious journals such as Government Information Quarterly, Information Polity and The Journal of Risk Finance.

In The Last Decade

Ussama Yaqub

15 papers receiving 305 citations

Peers

Ussama Yaqub
Goran Murić United States
Cody Buntain United States
Merja Mahrt Germany
Alicia Iriberri United States
Karissa McKelvey United States
Ussama Yaqub
Citations per year, relative to Ussama Yaqub Ussama Yaqub (= 1×) peers Derek O’Callaghan

Countries citing papers authored by Ussama Yaqub

Since Specialization
Citations

This map shows the geographic impact of Ussama Yaqub's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ussama Yaqub with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ussama Yaqub more than expected).

Fields of papers citing papers by Ussama Yaqub

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ussama Yaqub. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ussama Yaqub. The network helps show where Ussama Yaqub may publish in the future.

Co-authorship network of co-authors of Ussama Yaqub

This figure shows the co-authorship network connecting the top 25 collaborators of Ussama Yaqub. A scholar is included among the top collaborators of Ussama Yaqub based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ussama Yaqub. Ussama Yaqub is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Yaqub, Ussama, et al.. (2024). Twitter sentiment analysis and bitcoin price forecasting: implications for financial risk management. The Journal of Risk Finance. 25(3). 407–421. 4 indexed citations
2.
Yaqub, Ussama, et al.. (2022). Analysis of Bitcoin’s price spike in context of Elon Musk’s Twitter activity. Global Knowledge Memory and Communication. 72(4/5). 341–355. 15 indexed citations
4.
Yaqub, Ussama, et al.. (2021). Analysis and visualization of COVID-19 discourse on Twitter using data science: a case study of the USA, the UK and India. Global Knowledge Memory and Communication. 71(3). 140–154. 5 indexed citations
5.
Yaqub, Ussama, Soon Ae Chun, Vijayalakshmi Atluri, & Jaideep Vaidya. (2021). Analyzing social media messages of public sector organizations utilizing sentiment analysis and topic modeling. Information Polity. 26(4). 375–390. 3 indexed citations
6.
Yaqub, Ussama, et al.. (2020). Bot detection in twitter landscape using unsupervised learning. 329–330. 9 indexed citations
7.
Yaqub, Ussama. (2020). Tweeting During the Covid-19 Pandemic. Digital Government Research and Practice. 2(1). 1–7. 9 indexed citations
8.
Yaqub, Ussama, et al.. (2020). Location-based Sentiment Analyses and Visualization of Twitter Election Data. Digital Government Research and Practice. 1(2). 1–19. 31 indexed citations
9.
Yaqub, Ussama, et al.. (2020). Sentiment, Count and Cases: Analysis of Twitter discussions during COVID-19 Pandemic. 1–4. 14 indexed citations
11.
12.
Sharma, Nitesh, et al.. (2018). Web-based application for sentiment analysis of live tweets. View. 1–2. 19 indexed citations
13.
Yaqub, Ussama, et al.. (2018). Analysis and visualization of subjectivity and polarity of Twitter location data. View. 1–10. 20 indexed citations
14.
Yaqub, Ussama, Soon Ae Chun, Vijayalakshmi Atluri, & Jaideep Vaidya. (2017). Analysis of political discourse on twitter in the context of the 2016 US presidential elections. Government Information Quarterly. 34(4). 613–626. 121 indexed citations
15.
Yaqub, Ussama, Soon Ae Chun, Vijayalakshmi Atluri, & Jaideep Vaidya. (2017). Sentiment based Analysis of Tweets during the US Presidential Elections. View. 1–10. 28 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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