Jobie Budd

2.0k citations
3 papers · 1000 indexed · 2 hit papers · h-index 3
Topics
COVID-19 epidemiological studies (1 paper)ICT in Developing Communities (1 paper)COVID-19 Digital Contact Tracing (1 paper)

In The Last Decade

Jobie Budd

3 papers receiving 974 citations

Hit Papers

Digital technologies in the public-health response to COV...201920262021202320202019200400600

Peers

Jobie Budd
Comparison fields: 5 of 138
  • Information Systems 253
  • General Health Professions 214
  • Biomedical Engineering 181
  • Infectious Diseases 172
  • Modeling and Simulation 149
Replace Mengdie Zhuang with:
Mengdie Zhuang United Kingdom
Elliot Mbunge Eswatini
Francesc López Seguí Spain
Jared B. Hawkins United States
Walter H. Curioso Peru
Ala’a B. Al‐Tammemi Jordan
Raphael Cuomo United States
Stephen Gbenga Fashoto Eswatini
Jalal S. Alowibdi Saudi Arabia
Salman Bin Naeem Pakistan
Jobie Budd relative to Mengdie Zhuang United Kingdom Mengdie Zhuang's profile →
Citations per field
00.5×4.8×
Mengdie Zhuang · 1×
Citations per year

Countries citing papers authored by Jobie Budd

Since Specialization
Citations

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

Fields of papers citing papers by Jobie Budd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jobie Budd

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

All Works

3 of 3 papers shown
#WorkIndexed citations
1 83
2
Digital technologies in the public-health response to COVID-19breakdown →
693
3
Taking connected mobile-health diagnostics of infectious diseases to the fieldbreakdown →
224

About Jobie Budd

Jobie Budd is a scholar working on Modeling and Simulation, Information Systems and Epidemiology, having authored 3 papers that have together received 1000 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (1 paper), ICT in Developing Communities (1 paper) and COVID-19 Digital Contact Tracing (1 paper). The work is most often cited by research in Health Informatics (47 citations), Modeling and Simulation (149 citations) and Information Systems (253 citations). Jobie Budd has collaborated with scholars based in United Kingdom, South Africa and Sweden. Frequent co-authors include Rachel A. McKendry, Deenan Pillay, Molly M. Stevens, Margaret Johnson, Vasileios Lampos, Michael Edelstein, Benjamin S. Miller, Michael Short, Dominique Heymann and Ed Manley. Their work appears in journals such as Nature and Nature Medicine.

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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