Massimo Melucci
Impact in
- Artificial Intelligence top 2%
- Topic Modeling
- Advanced Text Analysis Techniques
- Natural Language Processing Techniques
- Semantic Web and Ontologies
- Sentiment Analysis and Opinion Mining
- Quantum Computing Algorithms and Architecture
- Information Systems top 2%
- Information Retrieval and Search Behavior
- Web Data Mining and Analysis
Papers in
-
- Information Retrieval and Search Behavior 30
- Web Data Mining and Analysis 13
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- Music and Audio Processing 12
- Co-authors
- Nicola OrioFábio CrestaniQiuchi LiPrayag TiwariDimitris GkoumasMaristella AgostiChristina LiomaNicola Ferro
- Journals
- Information Processing & Management (6 papers)ACM SIGIR Forum (3 papers)IEEE Transactions on Knowledge and Data Engineering (3 papers)ACM Transactions on Information Systems (2 papers)Computer Science Review (2 papers)
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Massimo Melucci
101 papers receiving 990 citations
Peers
Comparison fields: 5 of 101
- Artificial Intelligence 682
- Information Systems 348
- Signal Processing 156
- Computer Vision and Pattern Recognition 225
- Computer Science Applications 46
Countries citing papers authored by Massimo Melucci
This map shows the geographic impact of Massimo Melucci'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 Massimo Melucci with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Massimo Melucci more than expected).
Fields of papers citing papers by Massimo Melucci
This network shows the impact of papers produced by Massimo Melucci. 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 Massimo Melucci. The network helps show where Massimo Melucci may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Massimo Melucci, 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 | 2023 | 4 | |
| 2 | Word2Fun: Modelling Words as Functions for Diachronic Word Representation | 2021 | 1 |
| 3 | 2019 | 2 | |
| 4 | Vector-Space Model. | 2018 | 4 |
| 5 | 2017 | 8 | |
| 6 | Evaluation of a Feedback Algorithm inspired by Quantum Detection for Dynamic Search Tasks. | 2016 | 1 |
| 7 | Unveiling latent states behind social indicators | 2016 | 2 |
| 8 | University of Padua at TREC 2013: Federated Web Search Track. | 2013 | 2 |
| 9 | How quantum theory is developing the field of Information Retrieval | 2010 | 8 |
| 10 | University of Padua at TREC 2009: Relevance Feedback Track | 2009 | 2 |
| 11 | 2008 | 2 | |
| 12 | Distributed Information Retrieval and Automatic Identification of Music Works in SAPIR. | 2007 | 0 |
| 13 | Exploring a Mechanics for Context-Aware Information Retrieval. | 2007 | 5 |
| 14 | Expanding Queries Using Stems and Symbols. | 2004 | 2 |
| 15 | The University of Padova at CLEF 2003: Experiments to Evaluate Probabilistic Models for Automatic Stemmer Generation and Query Word Translation. | 2003 | 1 |
| 16 | The Visual Book and the Hyper-TextBook: two electronic books one lesson? | 2000 | 8 |
| 17 | An Evaluation Study on Music Perception for Music Content-based Information Retrieval | 2000 | 4 |
| 18 | Smile: a system for content-based musical information retrieval environments | 2000 | 12 |
| 19 | Web Document Retrieval Using Passage Retrieval, Connectivity Information, and Automatic Link Weighting--TREC-9 Report. | 2000 | 6 |
| 20 | The Effectiveness of Metadata and other Content Descriptive Data in Web Information Retrieval. | 1999 | 2 |
About Massimo Melucci
Massimo Melucci is a scholar working on Information Systems, Signal Processing, Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Science Applications, having authored 105 papers that have together received 1.1k indexed citations. Recurring topics across this work include Information Retrieval and Search Behavior (30 papers), Semantic Web and Ontologies (21 papers), Advanced Text Analysis Techniques (19 papers), Web Data Mining and Analysis (13 papers), Topic Modeling (12 papers), Music and Audio Processing (12 papers), Image Retrieval and Classification Techniques (10 papers) and Music Technology and Sound Studies (9 papers). The work is most often cited by research in Artificial Intelligence (682 citations), Information Systems (348 citations), Signal Processing (156 citations), Computer Vision and Pattern Recognition (225 citations) and Computer Science Applications (46 citations). Massimo Melucci has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Nicola Orio, Fábio Crestani, Qiuchi Li, Prayag Tiwari, Dimitris Gkoumas, Maristella Agosti, Christina Lioma, Nicola Ferro, Monica Landoni and Ryen W. White. Their work appears in journals such as Information Processing & Management, ACM SIGIR Forum, IEEE Transactions on Knowledge and Data Engineering, ACM Transactions on Information Systems and Computer Science 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.