Aniello De Santo

501 total citations
21 papers, 204 citations indexed

About

Aniello De Santo is a scholar working on Artificial Intelligence, Computer Networks and Communications and Statistical and Nonlinear Physics. According to data from OpenAlex, Aniello De Santo has authored 21 papers receiving a total of 204 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 5 papers in Computer Networks and Communications and 4 papers in Statistical and Nonlinear Physics. Recurrent topics in Aniello De Santo's work include Natural Language Processing Techniques (6 papers), Topic Modeling (4 papers) and Complex Network Analysis Techniques (4 papers). Aniello De Santo is often cited by papers focused on Natural Language Processing Techniques (6 papers), Topic Modeling (4 papers) and Complex Network Analysis Techniques (4 papers). Aniello De Santo collaborates with scholars based in United States, Italy and Czechia. Aniello De Santo's co-authors include Vincenzo Moscato, Giancarlo Sperlí, Antonio Galli, Antonio Picariello, Fabio Persia, Flora Amato, Aniello Castiglione, Thomas Graf, Francesco Gargiulo and Francesco Colace and has published in prestigious journals such as Expert Systems with Applications, Language and IEEE Transactions on Computers.

In The Last Decade

Aniello De Santo

19 papers receiving 195 citations

Peers

Aniello De Santo
Comparison fields: 5 of 65
  • Artificial Intelligence 76
  • Information Systems 61
  • Computer Networks and Communications 47
  • Statistical and Nonlinear Physics 43
  • Control and Systems Engineering 30
Replace Valentina Poggioni with:
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Valentina Poggioni Italy View profile →
Citations per field, relative to Aniello De Santo
Aniello De Santo · 1×
Citations per year, relative to Aniello De Santo
Aniello De Santo · 1×

Countries citing papers authored by Aniello De Santo

Since Specialization
Citations

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

Fields of papers citing papers by Aniello De Santo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aniello De Santo. 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 Aniello De Santo. The network helps show where Aniello De Santo may publish in the future.

Co-authorship network of co-authors of Aniello De Santo

This figure shows the co-authorship network connecting the top 25 collaborators of Aniello De Santo. A scholar is included among the top collaborators of Aniello De Santo 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 Aniello De Santo. Aniello De Santo 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 1
3 1
4 0
5 3
6 1
7 24
8 2
9 30
10 1
11 55
12 2
13 4
14 4
15 1
16 48
17 5
18 2
19 10
20 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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