Engineer Bainomugisha

971 citations
49 papers · 536 indexed · h-index 13

Engineer Bainomugisha

44 papers receiving 516 citations

Peers

Engineer Bainomugisha
Comparison fields: 5 of 80
  • Health, Toxicology and Mutagenesis 152
  • Environmental Engineering 149
  • Software 39
  • Information Systems 164
  • Hardware and Architecture 44
Replace Zhiyu Fan with:
Zhiyu Fan China
Yuan Huang China
Ingolf Krueger United States
Charlie Catlett United States
Aidan Ackerman United States
Run Wang China
Khadija Douzi Morocco
K. Somasundaram India
Ramon Lawrence Canada
Engineer Bainomugisha relative to Zhiyu Fan China Zhiyu Fan's profile →
Citations per field
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Zhiyu Fan · 1×
Citations per year

Countries citing papers authored by Engineer Bainomugisha

Since Specialization
Citations

This map shows the geographic impact of Engineer Bainomugisha'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 Engineer Bainomugisha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Engineer Bainomugisha more than expected).

Fields of papers citing papers by Engineer Bainomugisha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Engineer Bainomugisha. 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 Engineer Bainomugisha. The network helps show where Engineer Bainomugisha may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Engineer Bainomugisha, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Engineer Bainomugisha Line = papers co-authored together Engineer Bainomugisha links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20251
4 20252
5 20241
6 202413
7 202417
8 20241
9 20231
10 20235
11 202221
12 20225
13 20228
14 20229
15 202211
16 20221
17 20222
18 202146
19 201924
20 20093

About Engineer Bainomugisha

Engineer Bainomugisha is a scholar working on Health, Toxicology and Mutagenesis, Environmental Engineering, Information Systems, Software and Computer Science Applications, having authored 49 papers that have together received 536 indexed citations. Recurring topics across this work include Air Quality and Health Impacts (15 papers), Air Quality Monitoring and Forecasting (15 papers), COVID-19 impact on air quality (10 papers), Software Engineering Research (7 papers), ICT in Developing Communities (7 papers), Advanced Software Engineering Methodologies (6 papers), Atmospheric chemistry and aerosols (5 papers) and Software System Performance and Reliability (5 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (152 citations), Environmental Engineering (149 citations), Software (39 citations), Information Systems (164 citations) and Hardware and Architecture (44 citations). Engineer Bainomugisha has collaborated with scholars based in Uganda, United States and Belgium. Frequent co-authors include Wolfgang De Meuter, Andoni Lombide Carreton, Stijn Mostinckx, Tom Van Cutsem, John Businge, Eric S. Coker, Ernest Mwebaze, A. Kofi Amegah, Nancy Lozano‐Gracia and Sarah Nadi. Their work appears in journals such as Science of Computer Programming, Atmosphere, Data in Brief, IEEE Access and Atmospheric Pollution Research.

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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