Manuel Roveri

4.0k citations
119 papers · 2.8k · 1 hit paper · h-index 25

Impact in

Papers in

Manuel Roveri

110 papers receiving 2.6k citations

Manuel Roveri's Hit Papers

Learning in Nonstationary Environments: A Survey 2015 · 518 citations
5180+3+7Years since publication100200300400500

Peers

Manuel Roveri
Comparison fields: 5 of 125
  • Artificial Intelligence 1.4k
  • Computer Networks and Communications 897
  • Signal Processing 279
  • Computer Vision and Pattern Recognition 345
  • Control and Systems Engineering 321
Replace Yongjun Xu with:
Yongjun Xu China
Mohammad Khishe Iran
Mokhtar Mohammadi Iraq
Sung-Bae Cho South Korea
Yoan Miché Finland
Belén Carro Spain
Fu Xiao China
B. D. Parameshachari India
Qingqi Pei China
Alaa Khamis Canada
Manuel Roveri relative to Yongjun Xu China Yongjun Xu's profile →
Citations per field
00.5×3.4×
Yongjun Xu · 1×
Citations per year

Countries citing papers authored by Manuel Roveri

Since Specialization
Citations

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

Fields of papers citing papers by Manuel Roveri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 119 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Learning in Nonstationary Environments: A Survey
Hit paper breakdown →
2015518
2 2010210
3 2009148
4 2009121
5 2008112
6 2018108
7 2013104
8 200866
9 200766
10 201664
11 201653
12 200449
13 201348
14 201143
15 202241
16 201541
17 202039
18 201635
19 201032
20 200632

About Manuel Roveri

Manuel Roveri is a scholar working on Artificial Intelligence, Computer Networks and Communications, Control and Systems Engineering, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 119 papers that have together received 2.8k indexed citations. Recurring topics across this work include Data Stream Mining Techniques (26 papers), Fault Detection and Control Systems (20 papers), Anomaly Detection Techniques and Applications (20 papers), Energy Efficient Wireless Sensor Networks (18 papers), Neural Networks and Applications (12 papers), Time Series Analysis and Forecasting (10 papers), Indoor and Outdoor Localization Technologies (8 papers) and Machine Learning and Data Classification (7 papers). The work is most often cited by research in Artificial Intelligence (1.4k citations), Computer Networks and Communications (897 citations), Signal Processing (279 citations), Computer Vision and Pattern Recognition (345 citations) and Control and Systems Engineering (321 citations). Manuel Roveri has collaborated with scholars based in Italy, Switzerland and Cyprus. Frequent co-authors include Cesare Alippi, Giacomo Boracchi, Gregory Ditzler, Robi Polikar, C. Galperti, Romolo Camplani, Mario Di Francesco, Stavros Ntalampiras, Giuseppe Anastasi and Giuseppe Anastasi. Their work appears in journals such as IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Instrumentation and Measurement, Neural Computing and Applications, IEEE Computational Intelligence Magazine and IEEE Transactions on Emerging Topics in Computational Intelligence.

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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