Ernest Mwebaze
Impact in
- Analytical Chemistry top 10%
- Spectroscopy and Chemometric Analyses
Papers in
-
- Smart Agriculture and AI 11
- Banana Cultivation and Research 3
- Cassava research and cyanide 3
-
- Bayesian Modeling and Causal Inference 3
- Co-authors
- Michael Biehl (8 shared papers)John A. Quinn (8 shared papers)Engineer Bainomugisha (1 shared paper)A. Kofi Amegah (1 shared paper)Eric S. Coker (1 shared paper)Frank-Michael Schleif (2 shared papers)Petra Schneider (2 shared papers)Thomas Villmann (2 shared papers)
- Journals
- International Journal of Technology Management (2 papers)Data in Brief (2 papers)Journal Of Big Data (1 paper)Neurocomputing (1 paper)PLoS ONE (1 paper)
- Partner nations
- UgandaNetherlandsUnited States
In The Last Decade
Ernest Mwebaze
24 papers receiving 423 citations
Peers
Comparison fields: 5 of 95
- Analytical Chemistry 61
- Health Informatics 7
- Computer Vision and Pattern Recognition 109
- Plant Science 150
- Media Technology 33
Countries citing papers authored by Ernest Mwebaze
This map shows the geographic impact of Ernest Mwebaze'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 Ernest Mwebaze with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ernest Mwebaze more than expected).
Fields of papers citing papers by Ernest Mwebaze
This network shows the impact of papers produced by Ernest Mwebaze. 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 Ernest Mwebaze. The network helps show where Ernest Mwebaze may publish in the future.
Co-authors
The 25 scholars most cited alongside Ernest Mwebaze, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 78 | |
| 2 | European Symposium on Artificial Neural Networks (ESANN) 2015 | 2015 | 55 |
| 3 | 2021 | 48 | |
| 4 | 2020 | 37 | |
| 5 | 2011 | 33 | |
| 6 | 2021 | 32 | |
| 7 | Automated Vision-Based Diagnosis of Cassava Mosaic Disease. | 2010 | 19 |
| 8 | 2021 | 18 | |
| 9 | 2023 | 17 | |
| 10 | 2011 | 16 | |
| 11 | 2020 | 10 | |
| 12 | Divergence Based Learning Vector Quantization | 2010 | 10 |
| 13 | 2018 | 9 | |
| 14 | 2020 | 9 | |
| 15 | 2020 | 8 | |
| 16 | 2020 | 8 | |
| 17 | 2020 | 8 | |
| 18 | Causal Structure Learning for Famine Prediction | 2010 | 7 |
| 19 | 2018 | 5 | |
| 20 | 2015 | 5 |
About Ernest Mwebaze
Ernest Mwebaze is a scholar working on Plant Science, Artificial Intelligence, Analytical Chemistry, Computer Vision and Pattern Recognition and Ecology, having authored 28 papers that have together received 441 indexed citations. Recurring topics across this work include Smart Agriculture and AI (11 papers), Spectroscopy and Chemometric Analyses (5 papers), Digital Imaging for Blood Diseases (3 papers), Banana Cultivation and Research (3 papers), Remote Sensing in Agriculture (3 papers), Bayesian Modeling and Causal Inference (3 papers), Mosquito-borne diseases and control (3 papers) and Cassava research and cyanide (3 papers). The work is most often cited by research in Analytical Chemistry (61 citations), Health Informatics (7 citations), Computer Vision and Pattern Recognition (109 citations), Plant Science (150 citations) and Media Technology (33 citations). Ernest Mwebaze has collaborated with scholars based in Uganda, Netherlands and United States. Frequent co-authors include Michael Biehl, John A. Quinn, Engineer Bainomugisha, A. Kofi Amegah, Eric S. Coker, Frank-Michael Schleif, Petra Schneider, Thomas Villmann, Kevin Leyton‐Brown and Ronghang Zhu. Their work appears in journals such as International Journal of Technology Management, Data in Brief, Journal Of Big Data, Neurocomputing 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.