Emeka Chukwu
Impact in
- Information Systems top 5%
- Blockchain Technology Applications and Security
- COVID-19 Digital Contact Tracing
- Health Informatics top 10%
Papers in
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- Mobile Health and mHealth Applications 3
-
- COVID-19 Digital Contact Tracing 2
- Co-authors
- Lalit Garg (8 shared papers)Chinmay Chakraborty (1 shared paper)Gaurav Garg (1 shared paper)Nidal Nasser (1 shared paper)Christopher Gill (1 shared paper)Rachel Umoren (3 shared papers)Iretiola Fajolu (3 shared papers)Beatrice Nkolika Ezenwa (3 shared papers)
- Journals
- JMIR mhealth and uhealth (2 papers)IEEE Access (2 papers)BMJ Open (1 paper)PLoS ONE (1 paper)PEDIATRICS (1 paper)
- Partner nations
- MaltaNigeriaUnited States
In The Last Decade
Emeka Chukwu
20 papers receiving 587 citations
Emeka Chukwu's Hit Papers
Peers
Comparison fields: 5 of 93
- Information Systems 291
- Health Informatics 16
- Modeling and Simulation 44
- Health Information Management 30
- Computer Networks and Communications 128
Countries citing papers authored by Emeka Chukwu
This map shows the geographic impact of Emeka Chukwu'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 Emeka Chukwu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emeka Chukwu more than expected).
Fields of papers citing papers by Emeka Chukwu
This network shows the impact of papers produced by Emeka Chukwu. 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 Emeka Chukwu. The network helps show where Emeka Chukwu may publish in the future.
Co-authors
The 14 scholars most cited alongside Emeka Chukwu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | A Systematic Review of Blockchain in Healthcare: Frameworks, Prototypes, and Implementations Hit paper breakdown → | 2020 | 205 |
| 2 | 2020 | 159 | |
| 3 | 2020 | 107 | |
| 4 | 2015 | 77 | |
| 5 | 2020 | 10 | |
| 6 | 2022 | 8 | |
| 7 | 2022 | 7 | |
| 8 | 2024 | 5 | |
| 9 | 2021 | 5 | |
| 10 | 2021 | 5 | |
| 11 | 2016 | 5 | |
| 12 | 2022 | 4 | |
| 13 | 2017 | 3 | |
| 14 | 2022 | 2 | |
| 15 | 2020 | 2 | |
| 16 | 2023 | 2 | |
| 17 | 2020 | 1 | |
| 18 | 2022 | 1 | |
| 19 | 2020 | 1 | |
| 20 | 2015 | 1 |
About Emeka Chukwu
Emeka Chukwu is a scholar working on General Health Professions, Information Systems, Computer Networks and Communications, Health Information Management and Artificial Intelligence, having authored 20 papers that have together received 610 indexed citations. Recurring topics across this work include Mobile Health and mHealth Applications (3 papers), Simulation-Based Education in Healthcare (2 papers), IoT and Edge/Fog Computing (2 papers), Medical Research and Practices (2 papers), COVID-19 Digital Contact Tracing (2 papers), Electronic Health Records Systems (2 papers), Telemedicine and Telehealth Implementation (1 paper) and COVID-19 epidemiological studies (1 paper). The work is most often cited by research in Information Systems (291 citations), Health Informatics (16 citations), Modeling and Simulation (44 citations), Health Information Management (30 citations) and Computer Networks and Communications (128 citations). Emeka Chukwu has collaborated with scholars based in Malta, Nigeria and United States. Frequent co-authors include Lalit Garg, Chinmay Chakraborty, Gaurav Garg, Nidal Nasser, Christopher Gill, Rachel Umoren, Iretiola Fajolu, Beatrice Nkolika Ezenwa, Chinyere Ezeaka and Francis Smart. Their work appears in journals such as JMIR mhealth and uhealth, IEEE Access, BMJ Open, PLoS ONE and PEDIATRICS.
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.