Alberto Abelló
Impact in
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- Data Quality and Management
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- Big Data and Business Intelligence
Papers in
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- Advanced Database Systems and Queries 48
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- Semantic Web and Ontologies 32
- Co-authors
- Oscar Romero (32 shared papers)José Samos (10 shared papers)Fèlix Saltor (8 shared papers)Petar Jovanović (14 shared papers)Stefano Rizzi (4 shared papers)Juan Trujillo (2 shared papers)Sergi Nadal (12 shared papers)Torben Bach Pedersen (5 shared papers)
In The Last Decade
Alberto Abelló
92 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 90
- Management Science and Operations Research 405
- Management Information Systems 291
- Computer Networks and Communications 696
- Information Systems 584
- Signal Processing 229
Countries citing papers authored by Alberto Abelló
This map shows the geographic impact of Alberto Abelló'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 Alberto Abelló with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alberto Abelló more than expected).
Fields of papers citing papers by Alberto Abelló
This network shows the impact of papers produced by Alberto Abelló. 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 Alberto Abelló. The network helps show where Alberto Abelló may publish in the future.
Co-authors
The 25 scholars most cited alongside Alberto Abelló, 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 100 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 96 | |
| 2 | 2014 | 89 | |
| 3 | 2005 | 72 | |
| 4 | 2013 | 64 | |
| 5 | 2009 | 57 | |
| 6 | 2007 | 53 | |
| 7 | 2010 | 47 | |
| 8 | An integration-oriented ontology to govern evolution in Big Data ecosystems | 2017 | 43 |
| 9 | 2010 | 40 | |
| 10 | 2017 | 40 | |
| 11 | 2022 | 38 | |
| 12 | 2003 | 38 | |
| 13 | 2017 | 36 | |
| 14 | 2017 | 34 | |
| 15 | 2018 | 31 | |
| 16 | 2017 | 26 | |
| 17 | 2008 | 26 | |
| 18 | 2002 | 24 | |
| 19 | 2019 | 22 | |
| 20 | 2014 | 21 |
About Alberto Abelló
Alberto Abelló is a scholar working on Computer Networks and Communications, Artificial Intelligence, Information Systems, Management Science and Operations Research and Management Information Systems, having authored 100 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (48 papers), Semantic Web and Ontologies (32 papers), Data Quality and Management (24 papers), Data Management and Algorithms (13 papers), Service-Oriented Architecture and Web Services (12 papers), Cloud Computing and Resource Management (11 papers), Scientific Computing and Data Management (8 papers) and Big Data and Business Intelligence (7 papers). The work is most often cited by research in Management Science and Operations Research (405 citations), Management Information Systems (291 citations), Computer Networks and Communications (696 citations), Information Systems (584 citations) and Signal Processing (229 citations). Alberto Abelló has collaborated with scholars based in Spain, Belgium and Germany. Frequent co-authors include Oscar Romero, José Samos, Fèlix Saltor, Petar Jovanović, Stefano Rizzi, Juan Trujillo, Sergi Nadal, Torben Bach Pedersen, Jens Lechtenbörger and Alkis Simitsis. Their work appears in journals such as Information Systems, Data & Knowledge Engineering, IEEE Transactions on Knowledge and Data Engineering, International journal of engineering education and Frontiers in Microbiology.
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.