Juan Sequeda
Impact in
- Artificial Intelligence top 1%
- Semantic Web and Ontologies
- Advanced Graph Neural Networks
- Topic Modeling
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- Data Quality and Management
Papers in
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- Semantic Web and Ontologies 33
- Advanced Graph Neural Networks 5
- Topic Modeling 3
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- Advanced Database Systems and Queries 17
- Co-authors
- Claudio Gutiérrez (7 shared papers)Daniel P. Miranker (14 shared papers)Óscar Corcho (5 shared papers)Sabbir M. Rashid (3 shared papers)Axel-Cyrille Ngonga Ngomo (3 shared papers)Anisa Rula (3 shared papers)Michael Cochez (3 shared papers)Gerard de Melo (3 shared papers)
- Journals
- Journal of Web Semantics (3 papers)AI Magazine (2 papers)Communications of the ACM (1 paper)Semantic Web (1 paper)IEEE Internet Computing (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Juan Sequeda
42 papers receiving 1.6k citations
Juan Sequeda's Hit Papers
Peers
Comparison fields: 5 of 110
- Artificial Intelligence 1.1k
- Management Science and Operations Research 320
- Information Systems 468
- Computer Networks and Communications 413
- Information Systems and Management 108
Countries citing papers authored by Juan Sequeda
This map shows the geographic impact of Juan Sequeda'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 Juan Sequeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juan Sequeda more than expected).
Fields of papers citing papers by Juan Sequeda
This network shows the impact of papers produced by Juan Sequeda. 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 Juan Sequeda. The network helps show where Juan Sequeda may publish in the future.
Co-authors
The 25 scholars most cited alongside Juan Sequeda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Knowledge Graphs Hit paper breakdown → | 2021 | 690 |
| 2 | A Survey of Current Approaches for Mapping of Relational Databases to RDF | 2009 | 117 |
| 3 | 2013 | 86 | |
| 4 | 2021 | 84 | |
| 5 | 2012 | 78 | |
| 6 | 2018 | 73 | |
| 7 | 2014 | 69 | |
| 8 | 2021 | 52 | |
| 9 | 2022 | 52 | |
| 10 | Linked stream data: a position paper | 2009 | 43 |
| 11 | 2011 | 38 | |
| 12 | 2011 | 32 | |
| 13 | 2021 | 20 | |
| 14 | 2022 | 18 | |
| 15 | 2019 | 17 | |
| 16 | Relational database to RDF mapping patterns | 2012 | 15 |
| 17 | 2022 | 14 | |
| 18 | 2014 | 13 | |
| 19 | 2017 | 12 | |
| 20 | 2013 | 11 |
About Juan Sequeda
Juan Sequeda is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Management Science and Operations Research and Molecular Biology, having authored 43 papers that have together received 1.6k indexed citations. Recurring topics across this work include Semantic Web and Ontologies (33 papers), Advanced Database Systems and Queries (17 papers), Service-Oriented Architecture and Web Services (15 papers), Data Quality and Management (10 papers), Advanced Graph Neural Networks (5 papers), Biomedical Text Mining and Ontologies (4 papers), Topic Modeling (3 papers) and Graph Theory and Algorithms (3 papers). The work is most often cited by research in Artificial Intelligence (1.1k citations), Management Science and Operations Research (320 citations), Information Systems (468 citations), Computer Networks and Communications (413 citations) and Information Systems and Management (108 citations). Juan Sequeda has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Claudio Gutiérrez, Daniel P. Miranker, Óscar Corcho, Sabbir M. Rashid, Axel-Cyrille Ngonga Ngomo, Anisa Rula, Michael Cochez, Gerard de Melo, Lukas Schmelzeisen and Eva Blomqvist. Their work appears in journals such as Journal of Web Semantics, AI Magazine, Communications of the ACM, Semantic Web and IEEE Internet Computing.
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.