Ernest Mwebaze

770 total citations
28 papers, 431 citations indexed

About

Ernest Mwebaze is a scholar working on Plant Science, Artificial Intelligence and Analytical Chemistry. According to data from OpenAlex, Ernest Mwebaze has authored 28 papers receiving a total of 431 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Plant Science, 8 papers in Artificial Intelligence and 5 papers in Analytical Chemistry. Recurrent topics in Ernest Mwebaze's work include Smart Agriculture and AI (11 papers), Spectroscopy and Chemometric Analyses (5 papers) and Digital Imaging for Blood Diseases (4 papers). Ernest Mwebaze is often cited by papers focused on Smart Agriculture and AI (11 papers), Spectroscopy and Chemometric Analyses (5 papers) and Digital Imaging for Blood Diseases (4 papers). Ernest Mwebaze collaborates with scholars based in Uganda, Netherlands and United States. Ernest Mwebaze's co-authors include Michael Biehl, John A. Quinn, Engineer Bainomugisha, A. Kofi Amegah, Eric S. Coker, Frank-Michael Schleif, Kevin Leyton‐Brown, Petra Schneider, Thomas Villmann and Juliet N. Sekandi and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Access.

In The Last Decade

Ernest Mwebaze

24 papers receiving 414 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Ernest Mwebaze Uganda	11	155	104	98	62	38	28	431
Amit Prakash Singh India	14	429 2.8×	59 0.6×	103 1.1×	157 2.5×	36 0.9×	62	649
Zaidah Ibrahim Malaysia	14	180 1.2×	176 1.7×	96 1.0×	78 1.3×	3 0.1×	65	596
Yulong Wang China	11	51 0.3×	177 1.7×	111 1.1×	38 0.6×	7 0.2×	25	505
S. Abirami India	11	66 0.4×	34 0.3×	97 1.0×	54 0.9×	81 2.1×	47	365
Aydın Kaya Türkiye	10	286 1.8×	123 1.2×	134 1.4×	137 2.2×	3 0.1×	26	635
Jiawei Yan China	12	158 1.0×	123 1.2×	50 0.5×	51 0.8×	3 0.1×	20	464
Linhu Liu China	8	34 0.2×	136 1.3×	53 0.5×	40 0.6×	10 0.3×	20	474
Vivek Rathod United States	6	41 0.3×	401 3.9×	138 1.4×	23 0.4×	4 0.1×	9	704
Mohammed Ahmed Subhi Malaysia	9	17 0.1×	36 0.3×	60 0.6×	14 0.2×	55 1.4×	22	390

Countries citing papers authored by Ernest Mwebaze

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Ernest Mwebaze

This figure shows the co-authorship network connecting the top 25 collaborators of Ernest Mwebaze. A scholar is included among the top collaborators of Ernest Mwebaze 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 Ernest Mwebaze. Ernest Mwebaze is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Mwebaze, Ernest, et al.. (2026). Noise mapping and ambient sound recordings of the urban environment in Uganda. Scientific Data. 13(1).

Sekandi, Juliet N., et al.. (2023). Application of Artificial Intelligence to the Monitoring of Medication Adherence for Tuberculosis Treatment in Africa: Algorithm Development and Validation. SHILAP Revista de lepidopterología. 2(1). e40167–e40167. 15 indexed citations

Nakatumba‐Nabende, Joyce, et al.. (2023). A labeled spectral dataset with cassava disease occurrences using virus titre determination protocol. Data in Brief. 49. 109387–109387.

Coker, Eric S., et al.. (2021). A land use regression model using machine learning and locally developed low cost particulate matter sensors in Uganda. Environmental Research. 199. 111352–111352. 46 indexed citations

Mwebaze, Ernest, et al.. (2021). Mobile-Aware Deep Learning Algorithms for Malaria Parasites and White Blood Cells Localization in Thick Blood Smears. Algorithms. 14(1). 17–17. 29 indexed citations

Nakatumba‐Nabende, Joyce, et al.. (2020). A dataset of necrotized cassava root cross-section images. SHILAP Revista de lepidopterología. 32. 106170–106170. 10 indexed citations

Mwebaze, Ernest, et al.. (2020). Identifying patterns in urban housing density in developing countries using convolutional networks and satellite imagery. Heliyon. 6(12). e05617–e05617. 8 indexed citations

Nuwamanya, Ephraim, et al.. (2020). Early detection of plant diseases using spectral data. University of Groningen research database (University of Groningen / Centre for Information Technology). 1–6. 9 indexed citations

Mwebaze, Ernest, et al.. (2020). A low-cost 3-D printed smartphone add-on spectrometer for diagnosis of crop diseases in field. University of Groningen research database (University of Groningen / Centre for Information Technology). 331–332. 1 indexed citations

10.

Mwebaze, Ernest, et al.. (2020). Improving In-field Cassava Whitefly Pest Surveillance with Machine Learning. 303–309. 8 indexed citations

11.

Mwebaze, Ernest, et al.. (2018). Signature-based Denial of Service and Probe Detection, a Machine Learning approach. International Journal of Technology Management. 3(2). 11–11. 2 indexed citations

12.

Mwebaze, Ernest, et al.. (2018). Mining voter sentiments from Twitter data for the 2016 Uganda Presidential elections. International Journal of Technology Management. 3(2). 12–12.

13.

Omongo, Christopher A., et al.. (2018). Crowdsourcing Real-Time Viral Disease and Pest Information: A Case of Nation-Wide Cassava Disease Surveillance in a Developing Country. Proceedings of the AAAI Conference on Human Computation and Crowdsourcing. 6. 117–125. 5 indexed citations

14.

Enanoria, Wayne, Lee Worden, Fengchen Liu, et al.. (2015). Evaluating Subcriticality during the Ebola Epidemic in West Africa. PLoS ONE. 10(10). e0140651–e0140651. 5 indexed citations

15.

Mwebaze, Ernest, et al.. (2015). European Symposium on Artificial Neural Networks (ESANN) 2015. 54 indexed citations

16.

Mwebaze, Ernest. (2014). Divergences for prototype-based classification and causal structure discovery: Theory and application to natural datasets. Data Archiving and Networked Services (DANS). 1 indexed citations

17.

Mwebaze, Ernest, Petra Schneider, Frank-Michael Schleif, et al.. (2011). Divergence-based classification in learning vector quantization. Neurocomputing. 74(9). 1429–1435. 33 indexed citations

18.

Quinn, John A., Kevin Leyton‐Brown, & Ernest Mwebaze. (2011). Modeling and Monitoring Crop Disease in Developing Countries. Proceedings of the AAAI Conference on Artificial Intelligence. 25(1). 1390–1395. 17 indexed citations

19.

Mwebaze, Ernest, et al.. (2010). Causal Structure Learning for Famine Prediction. National Conference on Artificial Intelligence. 7 indexed citations

20.

Mwebaze, Ernest, et al.. (2010). Automated Vision-Based Diagnosis of Cassava Mosaic Disease.. 114–122. 19 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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