Marco Grassi

714 citations
23 papers · 372 · h-index 10

Impact in

Papers in

    • Semantic Web and Ontologies 9
    • Sentiment Analysis and Opinion Mining 2
    • Advanced Text Analysis Techniques 2
    • Web Data Mining and Analysis 3
    • Service-Oriented Architecture and Web Services 2

Marco Grassi

22 papers receiving 359 citations

Peers

Marco Grassi
Comparison fields: 5 of 71
  • Artificial Intelligence 185
  • Information Systems 73
  • Statistical and Nonlinear Physics 37
  • Surgery 76
  • Experimental and Cognitive Psychology 21
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Harry Stavropoulos United States
Giorgio Maria Di Nunzio Italy
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Citations per field
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Citations per year

Countries citing papers authored by Marco Grassi

Since Specialization
Citations

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

Fields of papers citing papers by Marco Grassi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Marco Grassi, 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 Marco Grassi Line = papers co-authored together Marco Grassi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011107
2 201174
3 201949
4 202228
5 201214
6 201114
7
Introducing the Semlib Project: Semantic Web Tools for Digital Libraries.
201112
8 201311
9
Pundit: Semantically Structured Annotations for Web Contents and Digital Libraries
201211
10 20209
11 20139
12 20247
13
NONLINEAR PLANT IDENTIFICATION BY WAVELETS
20036
14
Semantic web techniques application for video fragment annotation and management
20113
15 20213
16 20203
17 20113
18 20243
19
Enriching Digital Libraries Contents with SemLib Semantic Annotation System.
20122
20 20132

About Marco Grassi

Marco Grassi is a scholar working on Artificial Intelligence, Information Systems, Surgery, Literature and Literary Theory and Management Science and Operations Research, having authored 23 papers that have together received 372 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (9 papers), Web Data Mining and Analysis (3 papers), Data Quality and Management (3 papers), Digital Humanities and Scholarship (3 papers), Sentiment Analysis and Opinion Mining (2 papers), Advanced Text Analysis Techniques (2 papers), Service-Oriented Architecture and Web Services (2 papers) and Biomedical Text Mining and Ontologies (2 papers). The work is most often cited by research in Artificial Intelligence (185 citations), Information Systems (73 citations), Statistical and Nonlinear Physics (37 citations), Surgery (76 citations) and Experimental and Cognitive Psychology (21 citations). Marco Grassi has collaborated with scholars based in Italy, United Kingdom and Brazil. Frequent co-authors include Amir Hussain, Erik Cambria, Francesco Piazza, Catherine Havasi, Michele Nucci, Antonio Gigante, Nicoletta Onori, Christian Morbidoni, Luca Farinelli and Giuseppe Francesco Papalia. Their work appears in journals such as Cognitive Computation, The Journal of Arthroplasty, World Journal of Orthopedics, International Orthopaedics and Multimedia Tools and Applications.

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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