Marco Grassi

821 total citations
25 papers, 454 citations indexed

About

Marco Grassi is a scholar working on Artificial Intelligence, Surgery and Information Systems. According to data from OpenAlex, Marco Grassi has authored 25 papers receiving a total of 454 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 7 papers in Surgery and 6 papers in Information Systems. Recurrent topics in Marco Grassi's work include Semantic Web and Ontologies (9 papers), Orthopedic Infections and Treatments (4 papers) and Total Knee Arthroplasty Outcomes (4 papers). Marco Grassi is often cited by papers focused on Semantic Web and Ontologies (9 papers), Orthopedic Infections and Treatments (4 papers) and Total Knee Arthroplasty Outcomes (4 papers). Marco Grassi collaborates with scholars based in Italy, United Kingdom and India. Marco Grassi's co-authors include Amir Hussain, Erik Cambria, Francesco Piazza, Catherine Havasi, Alessandro Carbonari, Paolo Principi, Costanzo Di Perna, Antonio Gigante, Nicoletta Onori and Christian Morbidoni and has published in prestigious journals such as Energy and Buildings, The Journal of Arthroplasty and Knee Surgery Sports Traumatology Arthroscopy.

In The Last Decade

Marco Grassi

24 papers receiving 437 citations

Peers

Marco Grassi
Comparison fields: 5 of 84
  • Artificial Intelligence 183
  • Surgery 84
  • Mechanical Engineering 82
  • Information Systems 73
  • Sociology and Political Science 48
Replace Zhengjie Gao with:
Zhengjie Gao China
Sajal Halder Bangladesh
Matthew Studley United Kingdom
Jackie Ayoub United States
Jamin Rahman Jim Bangladesh
Oğuzhan Topsakal United States
Kai Heinrich Germany
Nathan Schurr United States
Ziyi Liu China
Timo Laakko Finland
Zhengjie Gao China View profile →
Citations per field, relative to Marco Grassi
Marco Grassi · 1×
Citations per year, relative to Marco Grassi
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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-authorship network of co-authors of Marco Grassi

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Grassi. A scholar is included among the top collaborators of Marco Grassi 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 Marco Grassi. Marco Grassi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 3
3 2
4 26
5 9
6 3
7 48
8 1
9
Pundit: Creating, exploring and consuming semantic annotations
1
10 2
11
Enriching Digital Libraries Contents with SemLib Semantic Annotation System.
2
12 14
13
Pundit: Semantically Structured Annotations for Web Contents and Digital Libraries
11
14
Semantic web techniques application for video fragment annotation and management
3
15 3
16 107
17 73
18
Introducing the Semlib Project: Semantic Web Tools for Digital Libraries.
12
19 6
20
NONLINEAR PLANT IDENTIFICATION BY WAVELETS
6

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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