Marco Pota

911 citations
31 papers · 542 indexed · h-index 12
Topics
Topic Modeling (10 papers)Fuzzy Logic and Control Systems (9 papers)Sentiment Analysis and Opinion Mining (5 papers)
Journals
SHILAP Revista de lepidopterologíaScientific ReportsExpert Systems with Applications
Partner nations
ItalyJapanIndia

In The Last Decade

Marco Pota

31 papers receiving 519 citations

Peers

Marco Pota
Comparison fields: 5 of 104
  • Artificial Intelligence 369
  • Information Systems 65
  • Radiology, Nuclear Medicine and Imaging 63
  • Management Science and Operations Research 48
  • Sociology and Political Science 45
Replace Elham S. Khorasani with:
Elham S. Khorasani United States
Liuyi Yao United States
Laura Dioşan Romania
Zhixuan Chu United States
Mohammad Nassef Egypt
Mahdi Pakdaman Naeini United States
Mohaimenul Azam Khan Raiaan Bangladesh
Barbara Pes Italy
Vaibhav Rajan Singapore
Marco Pota relative to Elham S. Khorasani United States Elham S. Khorasani's profile →
Citations per field
00.5×10.4×
Elham S. Khorasani · 1×
Citations per year

Countries citing papers authored by Marco Pota

Since Specialization
Citations

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

Fields of papers citing papers by Marco Pota

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Pota

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Pota. A scholar is included among the top collaborators of Marco Pota 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 Pota. Marco Pota 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
#WorkIndexed citations
1 6
2 15
3 23
4 7
5 3
6 24
7 2
8 4
9 13
10 5
11 42
12 19
13 52
14 43
15 11
16 7
17 14
18 2
19 3
20 6

About Marco Pota

Marco Pota is a scholar working on Artificial Intelligence, Statistics and Probability and Computational Theory and Mathematics, having authored 31 papers that have together received 542 indexed citations. Recurring topics across this work include Topic Modeling (10 papers), Fuzzy Logic and Control Systems (9 papers) and Sentiment Analysis and Opinion Mining (5 papers). The work is most often cited by research in Artificial Intelligence (369 citations), Otorhinolaryngology (22 citations) and Health Information Management (18 citations). Marco Pota has collaborated with scholars based in Italy, Japan and India. Frequent co-authors include Massimo Esposito, Giuseppe De Pietro, Hamido Fujita, Rosario Catelli, Giovanni Mauro Cattaneo, Elisa Scalco, Giovanna Rizzo, Giuseppe Sanguineti, Fiammetta Marulli and Alessia Farneti. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Expert Systems with 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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