Vitor R. Carvalho
- Artificial Intelligence top 2%
- Information Systems top 1%
- Computer Vision and Pattern Recognition top 10%
- Information Systems and Management top 5%
- Signal Processing top 10%
- Co-authors
- William W. CohenGiridhar KumaranJoshua GoodmanWen-tau YihTom M. MitchellNiranjan BalasubramanianMatthew LeaseEmine Yılmaz
- Topics
- Information Retrieval and Search Behavior (12 papers)Web Data Mining and Analysis (7 papers)Spam and Phishing Detection (6 papers)
- Journals
- ACM SIGIR ForumEmpirical Methods in Natural Language ProcessingInternational Joint Conference on Artificial Intelligence
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Vitor R. Carvalho
22 papers receiving 921 citations
Peers
Comparison fields: 5 of 65
- Artificial Intelligence 677
- Information Systems 517
- Computer Vision and Pattern Recognition 136
- Information Systems and Management 122
- Signal Processing 96
Countries citing papers authored by Vitor R. Carvalho
This map shows the geographic impact of Vitor R. Carvalho'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 Vitor R. Carvalho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vitor R. Carvalho more than expected).
Fields of papers citing papers by Vitor R. Carvalho
This network shows the impact of papers produced by Vitor R. Carvalho. 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 Vitor R. Carvalho. The network helps show where Vitor R. Carvalho may publish in the future.
Co-authorship network of co-authors of Vitor R. Carvalho
This figure shows the co-authorship network connecting the top 25 collaborators of Vitor R. Carvalho. A scholar is included among the top collaborators of Vitor R. Carvalho based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Vitor R. Carvalho. Vitor R. Carvalho is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 38 | |
| 3 | 5 | |
| 4 | 8 | |
| 5 | 20 | |
| 6 | 53 | |
| 7 | 11 | |
| 8 | 121 | |
| 9 | 23 | |
| 10 | 29 | |
| 11 | A Meta-Learning Approach for Robust Rank Learning | 20 |
| 12 | 3 | |
| 13 | 25 | |
| 14 | 221 | |
| 15 | Stacked sequential learning | 64 |
| 16 | 15 | |
| 17 | 108 | |
| 18 | Learning to Extract Signature and Reply Lines from Email. | 45 |
| 19 | Inferring Ongoing Activities of Workstation Users by Clustering Email. | 14 |
| 20 | 137 |
About Vitor R. Carvalho
Vitor R. Carvalho is a scholar working on Information Systems, Information Systems and Management and Artificial Intelligence, having authored 22 papers that have together received 1.0k indexed citations. Recurring topics across this work include Information Retrieval and Search Behavior (12 papers), Web Data Mining and Analysis (7 papers) and Spam and Phishing Detection (6 papers). The work is most often cited by research in Information Systems (517 citations), Artificial Intelligence (677 citations) and Information Systems and Management (122 citations). Vitor R. Carvalho has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include William W. Cohen, Giridhar Kumaran, Joshua Goodman, Wen-tau Yih, Tom M. Mitchell, Niranjan Balasubramanian, Matthew Lease, Emine Yılmaz, Jaime Carbonell and Jonathan L. Elsas. Their work appears in journals such as ACM SIGIR Forum, Empirical Methods in Natural Language Processing and International Joint Conference on Artificial Intelligence.
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.