Enza Messina

2.0k total citations
87 papers, 1.1k citations indexed

About

Enza Messina is a scholar working on Artificial Intelligence, Management Science and Operations Research and Molecular Biology. According to data from OpenAlex, Enza Messina has authored 87 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Artificial Intelligence, 13 papers in Management Science and Operations Research and 12 papers in Molecular Biology. Recurrent topics in Enza Messina's work include Topic Modeling (11 papers), Sentiment Analysis and Opinion Mining (8 papers) and Complex Network Analysis Techniques (8 papers). Enza Messina is often cited by papers focused on Topic Modeling (11 papers), Sentiment Analysis and Opinion Mining (8 papers) and Complex Network Analysis Techniques (8 papers). Enza Messina collaborates with scholars based in Italy, United Kingdom and United States. Enza Messina's co-authors include Elisabetta Fersini, Federico Pozzi, Francesco Archetti, Gautam Mitra, Debora Nozza, C. Lucas, Leonardo Vanneschi, S.​A. MirHassani, Antonio Candelieri and Valentina Bosetti and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and European Journal of Operational Research.

In The Last Decade

Enza Messina

79 papers receiving 986 citations

Peers

Enza Messina
Comparison fields: 5 of 122
  • Artificial Intelligence 480
  • Molecular Biology 126
  • Information Systems 109
  • Management Science and Operations Research 103
  • Biomedical Engineering 87
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Nicolas Lachiche France
Mutasem K. Alsmadi Saudi Arabia
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Citations per field, relative to Enza Messina
Enza Messina · 1×
Citations per year, relative to Enza Messina
Enza Messina · 1×

Countries citing papers authored by Enza Messina

Since Specialization
Citations

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

Fields of papers citing papers by Enza Messina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Enza Messina

This figure shows the co-authorship network connecting the top 25 collaborators of Enza Messina. A scholar is included among the top collaborators of Enza Messina 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 Enza Messina. Enza Messina 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 0
3 0
4 4
5 1
6 1
7 1
8 7
9 5
10 1
11 103
12 7
13 1
14
UniMiB: Entity linking in tweets using Jaro-Winkler distance, popularity and coherence
7
15 3
16 2
17
Multiple Object Tracking with Relations
1
18 3
19 8
20
A graph theoretical approach to the performance analysis of highly concurrent systems.
0

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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