Altigran S. da Silva
- Information Systems top 0.5%
- Web Data Mining and Analysis 33
- Spam and Phishing Detection 6
- Artificial Intelligence top 2%
- Semantic Web and Ontologies 12
- Text and Document Classification Technologies 7
- Topic Modeling 6
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- Advanced Database Systems and Queries 19
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- Data Quality and Management 11
- Signal Processing top 5%
- Data Management and Algorithms 10
- Co-authors
- Alberto H. F. LaenderBerthier Ribeiro‐NetoMarcos André GonçalvesEdleno Silva de MouraEli CortezPaulo B. GolgherPável CaladoJuliana Freire
- Journals
- IEEE Transactions on Knowledge and Data Engineering (1 paper)Proceedings of the VLDB Endowment (1 paper)Information Processing & Management (3 papers)
- Partner nations
- BrazilUnited StatesPortugal
In The Last Decade
Altigran S. da Silva
52 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 59
- Information Systems 1.1k
- Artificial Intelligence 726
- Computer Networks and Communications 507
- Management Science and Operations Research 241
- Signal Processing 206
Countries citing papers authored by Altigran S. da Silva
This map shows the geographic impact of Altigran S. da Silva'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 Altigran S. da Silva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Altigran S. da Silva more than expected).
Fields of papers citing papers by Altigran S. da Silva
This network shows the impact of papers produced by Altigran S. da Silva. 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 Altigran S. da Silva. The network helps show where Altigran S. da Silva may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Altigran S. da Silva, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 9 | |
| 2 | 2019 | 1 | |
| 3 | 2013 | 20 | |
| 4 | 2013 | 7 | |
| 5 | 2013 | 18 | |
| 6 | 2012 | 15 | |
| 7 | 2012 | 6 | |
| 8 | 2011 | 86 | |
| 9 | 2010 | 3 | |
| 10 | 2010 | 6 | |
| 11 | 2009 | 8 | |
| 12 | 2008 | 26 | |
| 13 | 2007 | 27 | |
| 14 | 2006 | 31 | |
| 15 | 2006 | 28 | |
| 16 | 2004 | 10 | |
| 17 | 2003 | 54 | |
| 18 | 2003 | 23 | |
| 19 | 2002 | 14 | |
| 20 | 1999 | 33 |
About Altigran S. da Silva
Altigran S. da Silva is a scholar working on Information Systems, Signal Processing and Artificial Intelligence, having authored 55 papers that have together received 1.3k indexed citations. Recurring topics across this work include Web Data Mining and Analysis (33 papers), Advanced Database Systems and Queries (19 papers), Semantic Web and Ontologies (12 papers), Data Quality and Management (11 papers), Data Management and Algorithms (10 papers), Text and Document Classification Technologies (7 papers), Spam and Phishing Detection (6 papers) and Topic Modeling (6 papers). The work is most often cited by research in Information Systems (1.1k citations), Artificial Intelligence (726 citations) and Computer Networks and Communications (507 citations). Altigran S. da Silva has collaborated with scholars based in Brazil, United States and Portugal. Frequent co-authors include Alberto H. F. Laender, Berthier Ribeiro‐Neto, Marcos André Gonçalves, Edleno Silva de Moura, Eli Cortez, Paulo B. Golgher, Pável Calado, Juliana Freire, Adriano Veloso and David Fernandes. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Proceedings of the VLDB Endowment and Information Processing & Management.
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.