Patrick Bernard Washington
Impact in
- Artificial Intelligence top 5%
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
- Topic Modeling
- Computer Science Applications top 10%
- Online Learning and Analytics
Papers in
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- Blockchain Technology Applications and Security 3
- Spam and Phishing Detection 2
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- Sentiment Analysis and Opinion Mining 6
- Imbalanced Data Classification Techniques 1
- Co-authors
- Ernesto Lee (10 shared papers)Furqan Rustam (9 shared papers)Imran Ashraf (9 shared papers)Muhammad Mujahid (1 shared paper)Saleem Ullah (1 shared paper)Aijaz Ahmad Reshi (1 shared paper)Wajdi Aljedaani (2 shared papers)Vaibhav Rupapara (2 shared papers)
- Journals
- IEEE Access (4 papers)PeerJ Computer Science (1 paper)Knowledge-Based Systems (1 paper)Applied Sciences (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesSouth KoreaPakistan
In The Last Decade
Patrick Bernard Washington
11 papers receiving 479 citations
Patrick Bernard Washington's Hit Papers
Peers
Comparison fields: 5 of 86
- Artificial Intelligence 300
- Computer Science Applications 41
- Information Systems 114
- General Social Sciences 14
- Management Science and Operations Research 44
Countries citing papers authored by Patrick Bernard Washington
This map shows the geographic impact of Patrick Bernard Washington'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 Patrick Bernard Washington with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Bernard Washington more than expected).
Fields of papers citing papers by Patrick Bernard Washington
This network shows the impact of papers produced by Patrick Bernard Washington. 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 Patrick Bernard Washington. The network helps show where Patrick Bernard Washington may publish in the future.
Co-authors
The 15 scholars most cited alongside Patrick Bernard Washington, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Sentiment Analysis and Topic Modeling on Tweets about Online Education during COVID-19 Hit paper breakdown → | 2021 | 150 |
| 2 | 2022 | 93 | |
| 3 | 2022 | 76 | |
| 4 | 2022 | 49 | |
| 5 | 2021 | 35 | |
| 6 | 2023 | 28 | |
| 7 | 2021 | 24 | |
| 8 | 2022 | 18 | |
| 9 | 2022 | 13 | |
| 10 | 2023 | 7 | |
| 11 | 2022 | 3 |
About Patrick Bernard Washington
Patrick Bernard Washington is a scholar working on Information Systems, Artificial Intelligence, Sociology and Political Science, Computer Networks and Communications and Management Information Systems, having authored 11 papers that have together received 496 indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (6 papers), Blockchain Technology Applications and Security (3 papers), Spam and Phishing Detection (2 papers), FinTech, Crowdfunding, Digital Finance (2 papers), Misinformation and Its Impacts (2 papers), Stock Market Forecasting Methods (2 papers), Banking stability, regulation, efficiency (1 paper) and Imbalanced Data Classification Techniques (1 paper). The work is most often cited by research in Artificial Intelligence (300 citations), Computer Science Applications (41 citations), Information Systems (114 citations), General Social Sciences (14 citations) and Management Science and Operations Research (44 citations). Patrick Bernard Washington has collaborated with scholars based in United States, South Korea and Pakistan. Frequent co-authors include Ernesto Lee, Furqan Rustam, Imran Ashraf, Muhammad Mujahid, Saleem Ullah, Aijaz Ahmad Reshi, Wajdi Aljedaani, Vaibhav Rupapara, Naila Aslam and Abdullatif Ghallab. Their work appears in journals such as IEEE Access, PeerJ Computer Science, Knowledge-Based Systems, Applied Sciences and PLoS ONE.
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.