Mario Cataldi

862 citations
18 papers · 477 · h-index 9

Impact in

Papers in

    • Semantic Web and Ontologies 6
    • Advanced Text Analysis Techniques 4
    • Natural Language Processing Techniques 3
    • Sentiment Analysis and Opinion Mining 2
    • Recommender Systems and Techniques 5
    • Web Data Mining and Analysis 3

Mario Cataldi

17 papers receiving 444 citations

Peers

Mario Cataldi
Comparison fields: 5 of 65
  • Statistical and Nonlinear Physics 251
  • Information Systems 202
  • Communication 59
  • Artificial Intelligence 245
  • Transportation 24
Replace Thomas Gottron with:
Thomas Gottron Germany
Saša Petrović United Kingdom
Ovidiu Dan United States
Rolf Schwitter Australia
Carlos Martin United Kingdom
Keke Cai China
Armineh Nourbakhsh United States
Rongjing Xiang United States
Víctor Fresno Spain
Dan Liebling United States
Mario Cataldi relative to Thomas Gottron Germany Thomas Gottron's profile →
Citations per field
00.5×1.5×
Thomas Gottron · 1×
Citations per year

Countries citing papers authored by Mario Cataldi

Since Specialization
Citations

This map shows the geographic impact of Mario Cataldi'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 Mario Cataldi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Cataldi more than expected).

Fields of papers citing papers by Mario Cataldi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mario Cataldi. 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 Mario Cataldi. The network helps show where Mario Cataldi may publish in the future.

Co-authors

The 14 scholars most cited alongside Mario Cataldi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mario Cataldi Line = papers co-authored together Mario Cataldi links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2010324
2 201325
3 201325
4 201421
5 201417
6 200914
7 201412
8 201210
9 20188
10 20116
11 20155
12 20123
13
Structure- and Extension-Informed Taxonomy Alignment
20082
14 20102
15 20111
16 20101
17
Sentiment Analysis for Dynamic User Preference Inference in Spoken Dialogue Systems.
20141
18
Context-informed Knowledge Extraction from Document Collections to Support User Navigation
20100

About Mario Cataldi

Mario Cataldi is a scholar working on Artificial Intelligence, Information Systems, Statistical and Nonlinear Physics, Computer Networks and Communications and Molecular Biology, having authored 18 papers that have together received 477 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (6 papers), Recommender Systems and Techniques (5 papers), Advanced Text Analysis Techniques (4 papers), Complex Network Analysis Techniques (4 papers), Web Data Mining and Analysis (3 papers), Biomedical Text Mining and Ontologies (3 papers), Natural Language Processing Techniques (3 papers) and Sentiment Analysis and Opinion Mining (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (251 citations), Information Systems (202 citations), Communication (59 citations), Artificial Intelligence (245 citations) and Transportation (24 citations). Mario Cataldi has collaborated with scholars based in Italy, France and United States. Frequent co-authors include Luigi Di, Claudio Schifanella, Marie-Aude Aufaure, Andrea Ballatore, Emmanuel Viennet, Maria Luisa Sapino, Ilaria Tiddi, K. Selçuk Candan, Federica Loi and Sandro Rolesu. Their work appears in journals such as Scientometrics, Small Ruminant Research, Data & Knowledge Engineering, Knowledge and Information Systems and ACM Transactions on Intelligent Systems and Technology.

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.

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