F. Palmieri

3.7k citations
149 papers · 2.4k indexed · h-index 25

F. Palmieri

133 papers receiving 2.3k citations

Peers

F. Palmieri
Comparison fields: 5 of 123
  • Signal Processing 299
  • Artificial Intelligence 719
  • Materials Chemistry 848
  • Computer Vision and Pattern Recognition 368
  • Electrical and Electronic Engineering 896
Replace Paul D. Groves with:
Paul D. Groves United Kingdom
Jürgen Becker Germany
Xiang Cui China
Lin Zhao China
Min Zhang China
He Wen China
Bo Yang China
Raed A. Abd‐Alhameed United Kingdom
Li Chen China
Sang-Ho Oh South Korea
F. Palmieri relative to Paul D. Groves United Kingdom Paul D. Groves's profile →
Citations per field
00.5×3.2×
Paul D. Groves · 1×
Citations per year

Countries citing papers authored by F. Palmieri

Since Specialization
Citations

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

Fields of papers citing papers by F. Palmieri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20240
4 20231
5 20226
6 202213
7 20181
8 201862
9 201729
10 201521
11
Abnormal vessel behavior detection in port areas based on Dynamic Bayesian Networks
201421
12
Entropic priors for short-term stochastic process classification
20113
13 20117
14
Notes on Factor Graphs
20101
15
An HMM Approach to Internet Traffic Modeling
20089
16 200211
17
Generalized support vector machines.
19999
18 19991
19 199337
20
Ll-Filters-A New Class of Order Statistic Filters
19891

About F. Palmieri

F. Palmieri is a scholar working on Signal Processing, Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition and Developmental Biology, having authored 149 papers that have together received 2.4k indexed citations. Recurring topics across this work include High voltage insulation and dielectric phenomena (24 papers), Neural Networks and Applications (21 papers), Blind Source Separation Techniques (16 papers), Wireless Communication Networks Research (14 papers), Electrostatic Discharge in Electronics (13 papers), Power Transformer Diagnostics and Insulation (13 papers), Bayesian Modeling and Causal Inference (13 papers) and Target Tracking and Data Fusion in Sensor Networks (12 papers). The work is most often cited by research in Signal Processing (299 citations), Artificial Intelligence (719 citations), Materials Chemistry (848 citations), Computer Vision and Pattern Recognition (368 citations) and Electrical and Electronic Engineering (896 citations). F. Palmieri has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Gian Carlo Montanari, Giovanni Mazzanti, Xiaofeng Qi, Pierluigi Salvo Rossi, Charles Boncelet, G. Teyssèdre, Francesco Castaldo, M.D. Fox, Domenico Ciuonzo and Davide Fabiani. Their work appears in journals such as IEEE Transactions on Aerospace and Electronic Systems, IEEE Signal Processing Letters, Journal of the Optical Society of America A, Journal of Physics D Applied Physics and IEEE Transactions on Signal Processing.

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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