Antonio Maratea

522 citations
35 papers · 324 · h-index 9

Impact in

    • Imbalanced Data Classification Techniques
    • Anomaly Detection Techniques and Applications
    • Advanced Clustering Algorithms Research
    • Soil erosion and sediment transport

Papers in

Antonio Maratea

32 papers receiving 311 citations

Peers

Antonio Maratea
Comparison fields: 5 of 92
  • Artificial Intelligence 135
  • Soil Science 23
  • Global and Planetary Change 47
  • Horticulture 2
  • Information Systems 45
Replace Mladen Nikolić with:
Mladen Nikolić Serbia
Gilson Alexandre Ostwald Pedro da Costa Brazil
Anju Asokan India
Pushpendra Singh Sisodia India
Sunitha Abburu India
Dongying Zhang China
Zhixin Qi China
Anindya Halder India
Yichen Tian China
Long Zhao China
Antonio Maratea relative to Mladen Nikolić Serbia Mladen Nikolić's profile →
Citations per field
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Citations per year

Countries citing papers authored by Antonio Maratea

Since Specialization
Citations

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

Fields of papers citing papers by Antonio Maratea

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013112
2 201349
3 201023
4 200712
5 200912
6 201811
7 202010
8 20209
9 20178
10 20188
11 20187
12 20215
13 20125
14 20165
15 20175
16 20165
17 20174
18 20164
19 20243
20 20133

About Antonio Maratea

Antonio Maratea is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computational Theory and Mathematics, Molecular Biology and Information Systems, having authored 35 papers that have together received 324 indexed citations. Recurring topics across this work include Rough Sets and Fuzzy Logic (4 papers), Multi-Criteria Decision Making (3 papers), GNSS positioning and interference (3 papers), Indoor and Outdoor Localization Technologies (3 papers), Hydrology and Drought Analysis (3 papers), Anomaly Detection Techniques and Applications (2 papers), Open Education and E-Learning (2 papers) and Geochemistry and Geologic Mapping (2 papers). The work is most often cited by research in Artificial Intelligence (135 citations), Soil Science (23 citations), Global and Planetary Change (47 citations), Horticulture (2 citations) and Information Systems (45 citations). Antonio Maratea has collaborated with scholars based in Italy, Jordan and Puerto Rico. Frequent co-authors include Alfredo Petrosino, Mario Manzo, Pietro P. C. Aucelli, Alber Sánchez, Michele Ceccarelli, Salvatore Gaglione, Antonio Angrisano, Ardelio Galletti, Alfredo Petrosino and Carmen Maria Rosskopf. Their work appears in journals such as Information Sciences, Robotics, Land Degradation and Development, Artificial Intelligence in Medicine and International Journal of Climatology.

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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