Daniela Godoy
Impact in
- Information Systems top 1%
- Recommender Systems and Techniques
- Software Engineering Research
- Software Engineering Techniques and Practices
- Web Data Mining and Analysis
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- Online Learning and Analytics
Papers in
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- Recommender Systems and Techniques 31
- Web Data Mining and Analysis 10
- Software Engineering Research 8
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- Topic Modeling 10
- Text and Document Classification Technologies 10
- Hate Speech and Cyberbullying Detection 7
- Co-authors
- Analı́a Amandi (22 shared papers)Antonela Tommasel (28 shared papers)Marcelo Campo (5 shared papers)Silvia Schiaffino (24 shared papers)Marcelo G. Armentano (7 shared papers)Alejandro Zunino (11 shared papers)Cristian Mateos (8 shared papers)Juan Manuel Rodríguez (10 shared papers)
In The Last Decade
Daniela Godoy
81 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 112
- Information Systems 711
- Computer Science Applications 131
- Artificial Intelligence 515
- Software 55
- Statistical and Nonlinear Physics 148
Countries citing papers authored by Daniela Godoy
This map shows the geographic impact of Daniela Godoy'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 Daniela Godoy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Godoy more than expected).
Fields of papers citing papers by Daniela Godoy
This network shows the impact of papers produced by Daniela Godoy. 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 Daniela Godoy. The network helps show where Daniela Godoy may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Godoy, 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 93 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 130 | |
| 2 | 2016 | 94 | |
| 3 | 2006 | 88 | |
| 4 | 2004 | 79 | |
| 5 | 2005 | 63 | |
| 6 | 2005 | 46 | |
| 7 | 2012 | 45 | |
| 8 | 1999 | 44 | |
| 9 | 2013 | 39 | |
| 10 | 2006 | 37 | |
| 11 | 2005 | 35 | |
| 12 | 2013 | 35 | |
| 13 | 2011 | 35 | |
| 14 | 2013 | 34 | |
| 15 | 2009 | 31 | |
| 16 | 2017 | 30 | |
| 17 | 2004 | 26 | |
| 18 | A Topology-Based Approach for Followees Recommendation in Twitter. | 2011 | 23 |
| 19 | 2015 | 23 | |
| 20 | 2015 | 22 |
About Daniela Godoy
Daniela Godoy is a scholar working on Information Systems, Artificial Intelligence, Statistical and Nonlinear Physics, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 93 papers that have together received 1.3k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (31 papers), Complex Network Analysis Techniques (17 papers), Web Data Mining and Analysis (10 papers), Topic Modeling (10 papers), Text and Document Classification Technologies (10 papers), Caching and Content Delivery (9 papers), Software Engineering Research (8 papers) and Hate Speech and Cyberbullying Detection (7 papers). The work is most often cited by research in Information Systems (711 citations), Computer Science Applications (131 citations), Artificial Intelligence (515 citations), Software (55 citations) and Statistical and Nonlinear Physics (148 citations). Daniela Godoy has collaborated with scholars based in Argentina, Chile and Spain. Frequent co-authors include Analı́a Amandi, Antonela Tommasel, Marcelo Campo, Silvia Schiaffino, Marcelo G. Armentano, Alejandro Zunino, Cristian Mateos, Juan Manuel Rodríguez, Guillermo Javier Lafuente and Luis Olsina. Their work appears in journals such as Expert Systems with Applications, Journal of Information Science, Information Systems, The Knowledge Engineering Review and Online Information Review.
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.