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 49
- Advanced Graph Neural Networks 7
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- Advanced Database Systems and Queries 30
- Co-authors
- Daniel P. Miranker (21 shared papers)Claudio Gutiérrez (12 shared papers)Corcho Oscar (5 shared papers)Marcelo Arenas (5 shared papers)Claudia d’Amato (10 shared papers)Sabbir M. Rashid (8 shared papers)Sabrina Kirrane (8 shared papers)Gerard de Melo (8 shared papers)
- Journals
- Journal of Web Semantics (3 papers)AI Magazine (2 papers)Communications of the ACM (2 papers)Lecture notes in computer science (12 papers)Semantic Web (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Juan Sequeda
61 papers receiving 2.5k citations
Juan Sequeda's Hit Papers
Peers
Comparison fields: 5 of 112
- Artificial Intelligence 1.8k
- Management Science and Operations Research 503
- Computer Networks and Communications 815
- Information Systems 746
- Information Systems and Management 179
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 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Knowledge Graphs Hit paper breakdown → | 2021 | 938 |
| 2 | A Survey of Current Approaches for Mapping of Relational Databases to RDF | 2009 | 162 |
| 3 | 2021 | 111 | |
| 4 | 2021 | 109 | |
| 5 | 2013 | 107 | |
| 6 | 2018 | 105 | |
| 7 | 2012 | 105 | |
| 8 | 2014 | 104 | |
| 9 | 2021 | 83 | |
| 10 | 2013 | 74 | |
| 11 | 2022 | 67 | |
| 12 | Linked stream data: a position paper | 2009 | 59 |
| 13 | 2008 | 55 | |
| 14 | 2011 | 52 | |
| 15 | 2014 | 46 | |
| 16 | 2023 | 43 | |
| 17 | 2021 | 35 | |
| 18 | 2011 | 34 | |
| 19 | 2022 | 21 | |
| 20 | 2019 | 21 |
About Juan Sequeda
Juan Sequeda is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Management Science and Operations Research and Signal Processing, having authored 65 papers that have together received 2.6k indexed citations. Recurring topics across this work include Semantic Web and Ontologies (49 papers), Advanced Database Systems and Queries (30 papers), Service-Oriented Architecture and Web Services (19 papers), Data Quality and Management (10 papers), Advanced Graph Neural Networks (7 papers), Data Management and Algorithms (7 papers), Graph Theory and Algorithms (7 papers) and Biomedical Text Mining and Ontologies (5 papers). The work is most often cited by research in Artificial Intelligence (1.8k citations), Management Science and Operations Research (503 citations), Computer Networks and Communications (815 citations), Information Systems (746 citations) and Information Systems and Management (179 citations). Juan Sequeda has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Daniel P. Miranker, Claudio Gutiérrez, Corcho Oscar, Marcelo Arenas, Claudia d’Amato, Sabbir M. Rashid, Sabrina Kirrane, Gerard de Melo, Axel-Cyrille Ngonga Ngomo and José Emilio Labra Gayo. Their work appears in journals such as Journal of Web Semantics, AI Magazine, Communications of the ACM, Lecture notes in computer science and Semantic Web.
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.