F. Russo

2.8k total citations
90 papers, 1.9k citations indexed

About

F. Russo is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, F. Russo has authored 90 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Computer Vision and Pattern Recognition, 37 papers in Media Technology and 34 papers in Artificial Intelligence. Recurrent topics in F. Russo's work include Image and Signal Denoising Methods (50 papers), Neural Networks and Applications (30 papers) and Advanced Image Fusion Techniques (24 papers). F. Russo is often cited by papers focused on Image and Signal Denoising Methods (50 papers), Neural Networks and Applications (30 papers) and Advanced Image Fusion Techniques (24 papers). F. Russo collaborates with scholars based in Italy, Canada and United Kingdom. F. Russo's co-authors include Giovanni Ramponi, G. Scarcella, A. Testa, A. Consoli, Giovanni L. Sicuranza, Alessio De Angelis, Paolo Carbone, Nazar Abbas Shah, George C. Giakos and Matteo Pastorino and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Image Processing and IEEE Transactions on Industry Applications.

In The Last Decade

F. Russo

85 papers receiving 1.7k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
F. Russo Italy	24	1.3k	722	324	242	192	90	1.9k
Giovanni Ramponi Italy	29	2.3k 1.8×	882 1.2×	325 1.0×	399 1.6×	140 0.7×	151	2.9k
Paul Bao Hong Kong	17	1.4k 1.0×	428 0.6×	139 0.4×	156 0.6×	76 0.4×	76	1.8k
Huanqiang Zeng China	29	2.2k 1.7×	545 0.8×	267 0.8×	502 2.1×	95 0.5×	157	2.6k
Abhishek Singh India	12	2.3k 1.8×	1.5k 2.0×	175 0.5×	148 0.6×	113 0.6×	66	2.8k
Jechang Jeong South Korea	23	1.7k 1.3×	476 0.7×	129 0.4×	692 2.9×	133 0.7×	226	2.1k
J.H. Husøy Norway	13	1.5k 1.2×	440 0.6×	290 0.9×	445 1.8×	90 0.5×	39	2.4k
Shahram Shirani Canada	25	1.6k 1.2×	590 0.8×	206 0.6×	521 2.2×	420 2.2×	177	2.4k
Mhamed Sayyouri Morocco	27	1.5k 1.1×	251 0.3×	288 0.9×	191 0.8×	87 0.5×	104	1.9k
Xinge You China	21	907 0.7×	254 0.4×	355 1.1×	119 0.5×	93 0.5×	52	1.3k
Taiping Zhang China	17	818 0.6×	550 0.8×	286 0.9×	117 0.5×	41 0.2×	68	1.3k

Countries citing papers authored by F. Russo

Since Specialization

Citations

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

Fields of papers citing papers by F. Russo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of F. Russo

This figure shows the co-authorship network connecting the top 25 collaborators of F. Russo. A scholar is included among the top collaborators of F. Russo 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 F. Russo. F. Russo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Rago, Antonio, et al.. (2024). Contestable AI Needs Computational Argumentation. 888–896. 1 indexed citations

2.

Russo, F.. (2016). New tools for classification and evaluation of filtering errors in color image denoising. ArTS Archivio della ricerca di Trieste (University of Trieste https://www.units.it/). 10. 178–189. 1 indexed citations

3.

Gardiol, D., D. Bonino, M. G. Lattanzi, A. Riva, & F. Russo. (2010). BAM/DASS: Data Analysis Software for Sub-Microarcsecond Astrometry Device. ASPC. 434. 131. 2 indexed citations

4.

Russo, F.. (2010). New Method for Performance Evaluation of Grayscale Image Denoising Filters. IEEE Signal Processing Letters. 17(5). 417–420. 15 indexed citations

5.

Russo, F. & Giovanni L. Sicuranza. (2006). Genetic Optimization in Nonlinear Systems for Active Noise Control: Accuracy and Performance Evaluation. Conference proceedings - IEEE Instrumentation/Measurement Technology Conference. e84 a. 1512–1517. 8 indexed citations

6.

Russo, F.. (2006). Design of piecewise linear sharpeners. 27–31. 3 indexed citations

7.

Russo, F.. (2004). Piecewise Linear Model-Based Image Enhancement. SHILAP Revista de lepidopterología. 1 indexed citations

8.

Russo, F.. (2004). Piecewise Linear Model-Based Image Enhancement. EURASIP Journal on Advances in Signal Processing. 2004(12). 16 indexed citations

9.

Russo, F.. (2003). A method for estimation and filtering of Gaussian noise in images. 2. 1689–1694. 8 indexed citations

10.

Taguchi, Akira, et al.. (2002). Data-dependent filtering using the fuzzy inference. ArTS Archivio della ricerca di Trieste (University of Trieste https://www.units.it/). assp 33. 752–752. 5 indexed citations

11.

Russo, F.. (2002). Fuzzy systems in instrumentation: fuzzy signal processing. 735–735. 23 indexed citations

12.

Russo, F. & Giovanni Ramponi. (2002). A noise smoother using cascaded FIRE filters. 1. 351–358. 25 indexed citations

13.

Russo, F., et al.. (2002). A graphical prototyping system for computer-aided development of expert instrumentation software. ArTS Archivio della ricerca di Trieste (University of Trieste https://www.units.it/). 6. 495–500. 1 indexed citations

14.

Russo, F.. (2002). Neuro-fuzzy filters based on recursive processing and genetic learning. 108–113. 1 indexed citations

15.

Giakos, George C., et al.. (1999). Noninvasive imaging for the new century. IEEE Instrumentation & Measurement Magazine. 2(2). 32–35, 49. 79 indexed citations

16.

Russo, F.. (1996). Fuzzy systems in instrumentation: fuzzy signal processing. IEEE Transactions on Instrumentation and Measurement. 45(2). 683–689. 31 indexed citations

17.

Russo, F. & Giovanni Ramponi. (1995). A fuzzy operator for the enhancement of blurred and noisy images. IEEE Transactions on Image Processing. 4(8). 1169–1174. 79 indexed citations

18.

Russo, F. & Giovanni Ramponi. (1994). Combined FIRE filters for image enhancement. 261–264. 3 indexed citations

19.

Russo, F. & Giovanni Ramponi. (1994). Edge extraction by FIRE operators. 249–253 vol.1. 52 indexed citations

20.

Russo, F. & Giovanni Ramponi. (1994). Combined FIRE filters for image enhancement. 260–264 vol.1. 19 indexed citations

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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