Anasse Bari
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
-
- Machine Learning and Data Classification 2
- Topic Modeling 2
-
- Sports Analytics and Performance 3
- Co-authors
- Megan Coffee (3 shared papers)Jichan Shi (1 shared paper)Jianyi Dai (1 shared paper)Tianxiao Zhang (1 shared paper)Zhengxing Wu (1 shared paper)Jing Cai (1 shared paper)Xinyue Jiang (1 shared paper)Yitong Huang (1 shared paper)
- Journals
- Clinical Infectious Diseases (1 paper)Computers, materials & continua/Computers, materials & continua (Print) (1 paper)Social Network Analysis and Mining (1 paper)Frontiers in Artificial Intelligence (1 paper)Wiley eBooks (1 paper)
- Partner nations
- United StatesBangladeshChina
In The Last Decade
Anasse Bari
14 papers receiving 331 citations
Peers
Comparison fields: 5 of 84
- Health Informatics 46
- Modeling and Simulation 53
- Health Information Management 45
- Radiology, Nuclear Medicine and Imaging 174
- Artificial Intelligence 145
Countries citing papers authored by Anasse Bari
This map shows the geographic impact of Anasse Bari'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 Anasse Bari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anasse Bari more than expected).
Fields of papers citing papers by Anasse Bari
This network shows the impact of papers produced by Anasse Bari. 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 Anasse Bari. The network helps show where Anasse Bari may publish in the future.
Co-authors
The 24 scholars most cited alongside Anasse Bari, 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 | 2020 | 271 | |
| 2 | Predictive analytics for dummies | 2014 | 17 |
| 3 | 2022 | 15 | |
| 4 | 2012 | 10 | |
| 5 | 2020 | 9 | |
| 6 | 2021 | 8 | |
| 7 | 2011 | 8 | |
| 8 | 2018 | 6 | |
| 9 | 2019 | 5 | |
| 10 | 2019 | 3 | |
| 11 | 2021 | 2 | |
| 12 | 2024 | 1 | |
| 13 | Predictive analytics for dummies, a Wiley brand | 2014 | 1 |
| 14 | 2023 | 1 | |
| 15 | 2023 | 1 | |
| 16 | 2021 | 1 | |
| 17 | 2023 | 0 | |
| 18 | 2024 | 0 | |
| 19 | 2024 | 0 | |
| 20 | 2023 | 0 |
About Anasse Bari
Anasse Bari is a scholar working on Artificial Intelligence, Economics and Econometrics, Infectious Diseases, Computer Networks and Communications and Sociology and Political Science, having authored 20 papers that have together received 359 indexed citations. Recurring topics across this work include Sports Analytics and Performance (3 papers), Machine Learning and Data Classification (2 papers), Recommender Systems and Techniques (2 papers), Network Security and Intrusion Detection (2 papers), Topic Modeling (2 papers), COVID-19 diagnosis using AI (1 paper), Nuclear Materials and Properties (1 paper) and Face and Expression Recognition (1 paper). The work is most often cited by research in Health Informatics (46 citations), Modeling and Simulation (53 citations), Health Information Management (45 citations), Radiology, Nuclear Medicine and Imaging (174 citations) and Artificial Intelligence (145 citations). Anasse Bari has collaborated with scholars based in United States, Bangladesh and China. Frequent co-authors include Megan Coffee, Jichan Shi, Jianyi Dai, Tianxiao Zhang, Zhengxing Wu, Jing Cai, Xinyue Jiang, Yitong Huang, Xiangao Jiang and Guiqing He. Their work appears in journals such as Clinical Infectious Diseases, Computers, materials & continua/Computers, materials & continua (Print), Social Network Analysis and Mining, Frontiers in Artificial Intelligence and Wiley eBooks.
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.