Fana Tangara
- Artificial Intelligence
- Computer Vision and Pattern Recognition top 10%
- Mechanical Engineering
- Plant Science
- Industrial and Manufacturing Engineering top 10%
- Co-authors
- Bernard Kamsu-FoguemLionel Arnaud
- Topics
- Business Process Modeling and Analysis (3 papers)Advanced machining processes and optimization (3 papers)Hydrological Forecasting Using AI (2 papers)
- Cited by
- Industrial and Manufacturing EngineeringComputer Vision and Pattern RecognitionMedia Technology
- Journals
- Expert Systems with ApplicationsSustainable Cities and SocietyThe International Journal of Advanced Manufacturing Technology
- Partner nations
- MaliFranceUnited States
In The Last Decade
Fana Tangara
11 papers receiving 397 citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Artificial Intelligence 83
- Computer Vision and Pattern Recognition 76
- Mechanical Engineering 55
- Plant Science 46
- Industrial and Manufacturing Engineering 43
Countries citing papers authored by Fana Tangara
This map shows the geographic impact of Fana Tangara'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 Fana Tangara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fana Tangara more than expected).
Fields of papers citing papers by Fana Tangara
This network shows the impact of papers produced by Fana Tangara. 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 Fana Tangara. The network helps show where Fana Tangara may publish in the future.
Co-authorship network of co-authors of Fana Tangara
This figure shows the co-authorship network connecting the top 25 collaborators of Fana Tangara. A scholar is included among the top collaborators of Fana Tangara 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 Fana Tangara. Fana Tangara is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 25 | |
| 2 | 19 | |
| 3 | 2 | |
| 4 | 10 | |
| 5 | 4 | |
| 6 | 18 | |
| 7 | 8 | |
| 8 | 9 | |
| 9 | Deep convolution neural network for image recognitionbreakdown → | 273 |
| 10 | 34 | |
| 11 | 18 | |
| 12 | 0 | |
| 13 | 0 |
About Fana Tangara
Fana Tangara is a scholar working on Medical Laboratory Technology, Management Information Systems and Mathematical Physics, having authored 13 papers that have together received 420 indexed citations. Recurring topics across this work include Business Process Modeling and Analysis (3 papers), Advanced machining processes and optimization (3 papers) and Hydrological Forecasting Using AI (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (43 citations), Computer Vision and Pattern Recognition (76 citations) and Media Technology (32 citations). Fana Tangara has collaborated with scholars based in Mali, France and United States. Frequent co-authors include Bernard Kamsu-Foguem and Lionel Arnaud. Their work appears in journals such as Expert Systems with Applications, Sustainable Cities and Society and The International Journal of Advanced Manufacturing Technology.
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.