Misael Mongiovı̀

1.2k citations
58 papers · 867 · h-index 16

Impact in

Papers in

Misael Mongiovı̀

53 papers receiving 831 citations

Peers

Misael Mongiovı̀
Comparison fields: 5 of 96
  • Artificial Intelligence 437
  • Statistical and Nonlinear Physics 141
  • Signal Processing 116
  • Computer Vision and Pattern Recognition 186
  • Computer Networks and Communications 195
Replace Teng-Sheng Moh with:
Teng-Sheng Moh United States
William M. Pottenger United States
Bolun Wang United States
Emmanuel Pietriga France
Javier Artiles Spain
Mark Carman Australia
László Kovács Hungary
Xiaojun Quan China
James Eagan France
Misael Mongiovı̀ relative to Teng-Sheng Moh United States Teng-Sheng Moh's profile →
Citations per field
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Teng-Sheng Moh · 1×
Citations per year

Countries citing papers authored by Misael Mongiovı̀

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Misael Mongiovı̀ Line = papers co-authored together Misael Mongiovı̀ links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016125
2 201190
3 201379
4 201057
5 201046
6 201240
7 201838
8 201636
9 201535
10 201633
11 201323
12 202220
13 200818
14 201717
15 202216
16 201516
17 201715
18 201515
19 201513
20 201513

About Misael Mongiovı̀

Misael Mongiovı̀ is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition, Information Systems and Signal Processing, having authored 58 papers that have together received 867 indexed citations. Recurring topics across this work include Topic Modeling (16 papers), Natural Language Processing Techniques (10 papers), Semantic Web and Ontologies (10 papers), Graph Theory and Algorithms (7 papers), Data Management and Algorithms (4 papers), Multimodal Machine Learning Applications (4 papers), Software System Performance and Reliability (4 papers) and Advanced Graph Neural Networks (4 papers). The work is most often cited by research in Artificial Intelligence (437 citations), Statistical and Nonlinear Physics (141 citations), Signal Processing (116 citations), Computer Vision and Pattern Recognition (186 citations) and Computer Networks and Communications (195 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, Aldo Gangemi, Diego Reforgiato Recupero, Andrea Giovanni Nuzzolese, Alfredo Ferro, Rosalba Giugno, Alfredo Pulvirenti and Francesco Draicchio. Their work appears in journals such as Knowledge-Based Systems, BMC Bioinformatics, Data Mining and Knowledge Discovery, Semantic Web and Applied Network Science.

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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