Alex Conconi
Impact in
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- Advanced Bandit Algorithms Research
- Artificial Intelligence top 5%
- Machine Learning and Algorithms
- Data Stream Mining Techniques
- Machine Learning and Data Classification
- Stochastic Gradient Optimization Techniques
- Text and Document Classification Technologies
Papers in
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- Machine Learning and Algorithms 6
- Machine Learning and Data Classification 4
- Text and Document Classification Technologies 3
- Neural Networks and Applications 2
- Algorithms and Data Compression 1
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- Face and Expression Recognition 2
- Co-authors
- Claudio Gentile (8 shared papers)Nicolò Cesa‐Bianchi (8 shared papers)Cyril Goutte (1 shared paper)Nicola Cancedda (1 shared paper)Yaoyong Li (1 shared paper)John Shawe‐Taylor (1 shared paper)Thore Graepel (1 shared paper)Jean-Michel Renders (1 shared paper)
- Journals
- SIAM Journal on Computing (1 paper)IEEE Transactions on Information Theory (1 paper)Lecture notes in computer science (3 papers)The MIT Press eBooks (1 paper)ePrints Soton (University of Southampton) (1 paper)
- Partner nations
- Italy
In The Last Decade
Alex Conconi
8 papers receiving 454 citations
Peers
Comparison fields: 5 of 57
- Management Science and Operations Research 184
- Artificial Intelligence 429
- Computational Mechanics 79
- Computer Vision and Pattern Recognition 72
- Computer Networks and Communications 58
Countries citing papers authored by Alex Conconi
This map shows the geographic impact of Alex Conconi'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 Alex Conconi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alex Conconi more than expected).
Fields of papers citing papers by Alex Conconi
This network shows the impact of papers produced by Alex Conconi. 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 Alex Conconi. The network helps show where Alex Conconi may publish in the future.
Co-authors
The 8 scholars most cited alongside Alex Conconi, 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 | 2004 | 255 | |
| 2 | 2005 | 140 | |
| 3 | 2003 | 30 | |
| 4 | 2002 | 27 | |
| 5 | Kernel Methods for Document Filtering | 2002 | 17 |
| 6 | 2002 | 15 | |
| 7 | 2004 | 13 | |
| 8 | Margin-Based Algorithms for Information Filtering | 2002 | 4 |
About Alex Conconi
Alex Conconi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Management Science and Operations Research, Control and Systems Engineering and Information Systems, having authored 8 papers that have together received 501 indexed citations. Recurring topics across this work include Machine Learning and Algorithms (6 papers), Machine Learning and Data Classification (4 papers), Text and Document Classification Technologies (3 papers), Advanced Bandit Algorithms Research (2 papers), Neural Networks and Applications (2 papers), Face and Expression Recognition (2 papers), Algorithms and Data Compression (1 paper) and Blind Source Separation Techniques (1 paper). The work is most often cited by research in Management Science and Operations Research (184 citations), Artificial Intelligence (429 citations), Computational Mechanics (79 citations), Computer Vision and Pattern Recognition (72 citations) and Computer Networks and Communications (58 citations). Alex Conconi has collaborated with scholars based in Italy. Frequent co-authors include Claudio Gentile, Nicolò Cesa‐Bianchi, Cyril Goutte, Nicola Cancedda, Yaoyong Li, John Shawe‐Taylor, Thore Graepel and Jean-Michel Renders. Their work appears in journals such as SIAM Journal on Computing, IEEE Transactions on Information Theory, Lecture notes in computer science, The MIT Press eBooks and ePrints Soton (University of Southampton).
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.