Misael Mongiovı̀
Impact in
- Artificial Intelligence top 5%
- Semantic Web and Ontologies
- Advanced Graph Neural Networks
- Topic Modeling
- Anomaly Detection Techniques and Applications
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- Complex Network Analysis Techniques
Papers in
-
- Topic Modeling 12
- Semantic Web and Ontologies 8
- Natural Language Processing Techniques 8
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- Network Security and Intrusion Detection 4
- Co-authors
- Ambuj K. Singh (5 shared papers)Petko Bogdanov (4 shared papers)Valentina Presutti (11 shared papers)Diego Reforgiato Recupero (10 shared papers)Aldo Gangemi (13 shared papers)Andrea Giovanni Nuzzolese (8 shared papers)Alfredo Pulvirenti (9 shared papers)Alfredo Ferro (8 shared papers)
- Journals
- Knowledge-Based Systems (4 papers)BMC Bioinformatics (2 papers)Scientific Reports (1 paper)BMC Systems Biology (1 paper)Data Mining and Knowledge Discovery (1 paper)
- Partner nations
- ItalyUnited StatesFrance
In The Last Decade
Misael Mongiovı̀
39 papers receiving 660 citations
Peers
Comparison fields: 5 of 95
- Artificial Intelligence 339
- Statistical and Nonlinear Physics 119
- Signal Processing 93
- Computer Vision and Pattern Recognition 149
- Computer Networks and Communications 165
Countries citing papers authored by Misael Mongiovı̀
This map shows the geographic impact of Misael Mongiovı̀'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 Misael Mongiovı̀ with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Misael Mongiovı̀ more than expected).
Fields of papers citing papers by Misael Mongiovı̀
This network shows the impact of papers produced by Misael Mongiovı̀. 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 Misael Mongiovı̀. The network helps show where Misael Mongiovı̀ may publish in the future.
Co-authors
The 25 scholars most cited alongside Misael Mongiovı̀, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 88 | |
| 2 | 2011 | 77 | |
| 3 | 2013 | 71 | |
| 4 | 2010 | 48 | |
| 5 | 2010 | 42 | |
| 6 | 2012 | 39 | |
| 7 | 2018 | 32 | |
| 8 | 2016 | 29 | |
| 9 | 2016 | 29 | |
| 10 | 2015 | 28 | |
| 11 | 2013 | 21 | |
| 12 | 2022 | 18 | |
| 13 | 2008 | 15 | |
| 14 | 2015 | 15 | |
| 15 | 2017 | 14 | |
| 16 | 2017 | 13 | |
| 17 | 2015 | 12 | |
| 18 | 2022 | 11 | |
| 19 | 2015 | 10 | |
| 20 | 2015 | 9 |
About Misael Mongiovı̀
Misael Mongiovı̀ is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition, Signal Processing and Information Systems, having authored 43 papers that have together received 687 indexed citations. Recurring topics across this work include Topic Modeling (12 papers), Semantic Web and Ontologies (8 papers), Natural Language Processing Techniques (8 papers), Graph Theory and Algorithms (6 papers), Data Management and Algorithms (4 papers), Software Engineering Research (4 papers), Complex Network Analysis Techniques (4 papers) and Network Security and Intrusion Detection (4 papers). The work is most often cited by research in Artificial Intelligence (339 citations), Statistical and Nonlinear Physics (119 citations), Signal Processing (93 citations), Computer Vision and Pattern Recognition (149 citations) and Computer Networks and Communications (165 citations). Misael Mongiovı̀ has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Ambuj K. Singh, Petko Bogdanov, Valentina Presutti, Diego Reforgiato Recupero, Aldo Gangemi, Andrea Giovanni Nuzzolese, Alfredo Pulvirenti, Alfredo Ferro, Rosalba Giugno and Francesco Draicchio. Their work appears in journals such as Knowledge-Based Systems, BMC Bioinformatics, Scientific Reports, BMC Systems Biology and Data Mining and Knowledge Discovery.
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.