Giuseppe Masi

1.4k total citations · 1 hit paper
12 papers, 1.1k citations indexed

About

Giuseppe Masi is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Ecology. According to data from OpenAlex, Giuseppe Masi has authored 12 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Media Technology, 5 papers in Computer Vision and Pattern Recognition and 2 papers in Ecology. Recurrent topics in Giuseppe Masi's work include Remote-Sensing Image Classification (6 papers), Advanced Image Fusion Techniques (3 papers) and Medical Image Segmentation Techniques (3 papers). Giuseppe Masi is often cited by papers focused on Remote-Sensing Image Classification (6 papers), Advanced Image Fusion Techniques (3 papers) and Medical Image Segmentation Techniques (3 papers). Giuseppe Masi collaborates with scholars based in Italy, United States and Pakistan. Giuseppe Masi's co-authors include Giuseppe Scarpa, Luisa Verdoliva, Davide Cozzolino, Giovanni Poggi, Raffaele Gaetano, Giuseppe Ruello, Donato Amitrano, Cesario Vincenzo Angelino, Massimiliano Lega and Andrea Vallario and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, International Journal of Remote Sensing and Remote Sensing.

In The Last Decade

Giuseppe Masi

11 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Pansharpening by Convolutional Neural Networks

2016 846 citations Giuseppe Masi, Davide Cozzolino et al. Remote Sensing profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Giuseppe Masi Italy	8	917	739	108	82	62	12	1.1k
Te‐Ming Tu Taiwan	14	1.0k 1.1×	779 1.1×	57 0.5×	122 1.5×	117 1.9×	31	1.3k
Charis Lanaras Switzerland	6	561 0.6×	452 0.6×	27 0.3×	91 1.1×	31 0.5×	9	710
Hsuen-Chyun Shyu Taiwan	5	682 0.7×	498 0.7×	51 0.5×	57 0.7×	78 1.3×	10	780
D. Li China	3	565 0.6×	370 0.5×	28 0.3×	57 0.7×	125 2.0×	7	671
Vicenç Palà Spain	8	865 0.9×	643 0.9×	49 0.5×	175 2.1×	108 1.7×	26	1.1k
Zhijun Wang China	2	570 0.6×	353 0.5×	27 0.3×	57 0.7×	105 1.7×	10	652
Wenqian Dong China	23	1.1k 1.2×	494 0.7×	99 0.9×	94 1.1×	85 1.4×	73	1.3k
Román Arbiol Spain	10	881 1.0×	665 0.9×	47 0.4×	168 2.0×	183 3.0×	30	1.2k
Jiahui Qu China	24	1.1k 1.3×	519 0.7×	102 0.9×	99 1.2×	94 1.5×	80	1.4k
Cesario Vincenzo Angelino Italy	9	401 0.4×	517 0.7×	26 0.2×	30 0.4×	231 3.7×	19	782

Countries citing papers authored by Giuseppe Masi

Since Specialization

Citations

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

Fields of papers citing papers by Giuseppe Masi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giuseppe Masi

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

All Works

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12 of 12 papers shown

1.

Masi, Giuseppe, et al.. (2024). Lob-based deep learning models for stock price trend prediction: a benchmark study. Artificial Intelligence Review. 57(5). 7 indexed citations

2.

Bartolini, Novella, et al.. (2024). Patrolling Heterogeneous Targets with FANETs. 1–6.

3.

Masi, Giuseppe, et al.. (2023). On Correlated Stock Market Time Series Generation. IRIS Research product catalog (Sapienza University of Rome). 524–532. 1 indexed citations

4.

Masi, Giuseppe, Davide Cozzolino, Luisa Verdoliva, & Giuseppe Scarpa. (2017). CNN-based pansharpening of multi-resolution remote-sensing images. CINECA IRIS Institutial research information system (Parthenope University of Naples). 1–4. 25 indexed citations

5.

Masi, Giuseppe, Davide Cozzolino, Luisa Verdoliva, & Giuseppe Scarpa. (2016). Pansharpening by Convolutional Neural Networks. Remote Sensing. 8(7). 594–594. 846 indexed citations breakdown →

6.

Angelino, Cesario Vincenzo, Luca Cicala, Massimiliano Lega, et al.. (2015). Detection of environmental hazards through the feature-based fusion of optical and SAR data: a case study in southern Italy. International Journal of Remote Sensing. 36(13). 3345–3367. 49 indexed citations

7.

Masi, Giuseppe, Raffaele Gaetano, Giovanni Poggi, & Giuseppe Scarpa. (2015). Superpixel-based segmentation of remote sensing images through correlation clustering. CINECA IRIS Institutial research information system (Parthenope University of Naples). 1028–1031. 2 indexed citations

8.

Gaetano, Raffaele, Donato Amitrano, Giuseppe Masi, et al.. (2014). Exploration of Multitemporal COSMO-SkyMed Data via Interactive Tree-Structured MRF Segmentation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 7(7). 2763–2775. 19 indexed citations

9.

Gaetano, Raffaele, Giuseppe Masi, Giovanni Poggi, Luisa Verdoliva, & Giuseppe Scarpa. (2014). Marker-Controlled Watershed-Based Segmentation of Multiresolution Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing. 53(6). 2987–3004. 97 indexed citations

10.

Angelino, Cesario Vincenzo, Luca Cicala, Massimiliano Lega, et al.. (2014). SAR/multispectral image fusion for the detection of environmental hazards with a GIS. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 21 indexed citations

11.

Gaetano, Raffaele, Giuseppe Masi, Giuseppe Scarpa, & Giovanni Poggi. (2012). A marker-controlled watershed segmentation: Edge, mark and fill. CINECA IRIS Institutial research information system (Parthenope University of Naples). 4315–4318. 12 indexed citations

12.

Masi, Giuseppe, Raffaele Gaetano, Giuseppe Scarpa, & Giovanni Poggi. (2010). Dynamic segmentation for image information mining. CINECA IRIS Institutial research information system (Parthenope University of Naples). 1992–1995. 1 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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