Edward M. Lungu
- Public Health, Environmental and Occupational Health top 10%
- Modeling and Simulation top 5%
- Global and Planetary Change
- Finance top 10%
- Economics and Econometrics
- Co-authors
- Bernt ØksendalPushpendra Kumar JainSemu Mitiku KassaBarbara SzomolayFarai NyabadzaWoldeamlak BewketOrou G. GaoueSuzanne Lenhart
- Topics
- Stochastic processes and financial applications (8 papers)COVID-19 epidemiological studies (6 papers)Mathematical and Theoretical Epidemiology and Ecology Models (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of HydrologyRenewable Energy
- Partner nations
- BotswanaSouth AfricaUnited States
In The Last Decade
Edward M. Lungu
39 papers receiving 359 citations
Peers
Comparison fields: 5 of 87
- Public Health, Environmental and Occupational Health 147
- Modeling and Simulation 88
- Global and Planetary Change 69
- Finance 63
- Economics and Econometrics 47
Countries citing papers authored by Edward M. Lungu
This map shows the geographic impact of Edward M. Lungu'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 Edward M. Lungu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edward M. Lungu more than expected).
Fields of papers citing papers by Edward M. Lungu
This network shows the impact of papers produced by Edward M. Lungu. 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 Edward M. Lungu. The network helps show where Edward M. Lungu may publish in the future.
Co-authorship network of co-authors of Edward M. Lungu
This figure shows the co-authorship network connecting the top 25 collaborators of Edward M. Lungu. A scholar is included among the top collaborators of Edward M. Lungu 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 Edward M. Lungu. Edward M. Lungu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 6 | |
| 6 | 12 | |
| 7 | 27 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 2 | |
| 12 | 6 | |
| 13 | 2 | |
| 14 | 16 | |
| 15 | The biomechanics of atherosclerosis development | 4 |
| 16 | 3 | |
| 17 | 21 | |
| 18 | 113 | |
| 19 | 13 | |
| 20 | 4 |
About Edward M. Lungu
Edward M. Lungu is a scholar working on Modeling and Simulation, Virology and Finance, having authored 41 papers that have together received 395 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (8 papers), COVID-19 epidemiological studies (6 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (6 papers). The work is most often cited by research in Modeling and Simulation (88 citations), Finance (63 citations) and Mathematical Physics (46 citations). Edward M. Lungu has collaborated with scholars based in Botswana, South Africa and United States. Frequent co-authors include Bernt Øksendal, Pushpendra Kumar Jain, Bernt Øksendal, Semu Mitiku Kassa, Barbara Szomolay, Farai Nyabadza, Woldeamlak Bewket, Orou G. Gaoue, Suzanne Lenhart and Luis H. R. Alvarez. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Hydrology and Renewable Energy.
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.