Joseph Sevilla

406 citations
18 papers · 289 · h-index 6

Impact in

    • Bioinformatics and Genomic Networks
    • Biomedical Text Mining and Ontologies
    • Gene expression and cancer classification
    • Machine Learning in Bioinformatics
    • Gene Regulatory Network Analysis
    • Vaccine Coverage and Hesitancy

Papers in

Joseph Sevilla

18 papers receiving 277 citations

Peers

Joseph Sevilla
Comparison fields: 5 of 74
  • Molecular Biology 172
  • Health 11
  • Epidemiology 38
  • Cancer Research 15
  • Information Systems 22
Replace David Wadden with:
David Wadden United States
Christian Köhler Germany
Allyson Lister United Kingdom
Luke Hutton United Kingdom
Andrew MacKinlay Australia
Sirarat Sarntivijai United States
Ergin Soysal United States
Dustin Olley United States
William Broomall United States
Arif Canakoglu Italy
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Citations per field
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Citations per year

Countries citing papers authored by Joseph Sevilla

Since Specialization
Citations

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

Fields of papers citing papers by Joseph Sevilla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Joseph Sevilla, 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 Joseph Sevilla Line = papers co-authored together Joseph Sevilla links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2005184
2 200641
3 201816
4 201710
5 20066
6 20146
7 20235
8 20175
9 20214
10 20173
11 20192
12
Mechanisms that are impacting the Kenya Open Data Initiative
20161
13 20161
14 20231
15 20161
16 20211
17
Issues and challenges in implementing quality assurance in higher education – Strathmore University case
20151
18 20231

About Joseph Sevilla

Joseph Sevilla is a scholar working on Political Science and International Relations, Media Technology, Information Systems, Molecular Biology and Strategy and Management, having authored 18 papers that have together received 289 indexed citations. Recurring topics across this work include ICT Impact and Policies (5 papers), E-Government and Public Services (5 papers), Gene expression and cancer classification (2 papers), ICT in Developing Communities (2 papers), FinTech, Crowdfunding, Digital Finance (2 papers), Bioinformatics and Genomic Networks (2 papers), Open Source Software Innovations (1 paper) and Mental Health via Writing (1 paper). The work is most often cited by research in Molecular Biology (172 citations), Health (11 citations), Epidemiology (38 citations), Cancer Research (15 citations) and Information Systems (22 citations). Joseph Sevilla has collaborated with scholars based in Kenya, Spain and United States. Frequent co-authors include Ángel Rubio, Elizabeth Guruceaga, Adam Podhorski, Víctor Segura, Fernando J. Corrales, Luis Alfonso Martínez‐Cruz, José M. Mato, Fabienne Aillet, Juan Caballería and Maria Luz Martínez‐Chantar. Their work appears in journals such as Journal of Hepatology, IEEE/ACM Transactions on Computational Biology and Bioinformatics, PROTEOMICS, International Journal of Technology Enhanced Learning and Vaccine.

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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