C. D'Elia

425 total citations
29 papers, 291 citations indexed

About

C. D'Elia is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, C. D'Elia has authored 29 papers receiving a total of 291 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 13 papers in Artificial Intelligence and 9 papers in Media Technology. Recurrent topics in C. D'Elia's work include Image Retrieval and Classification Techniques (8 papers), Remote-Sensing Image Classification (7 papers) and Image and Signal Denoising Methods (6 papers). C. D'Elia is often cited by papers focused on Image Retrieval and Classification Techniques (8 papers), Remote-Sensing Image Classification (7 papers) and Image and Signal Denoising Methods (6 papers). C. D'Elia collaborates with scholars based in Italy. C. D'Elia's co-authors include Giuseppe Scarpa, Mario Molinara, Carmen D’Andrea, Francesco Tortorella, Stefano Buzzi, Claudio Marrocco, Giovanni Poggi, Luciano Alparone, Bruno Aiazzi and Stefano Baronti and has published in prestigious journals such as IEEE Transactions on Image Processing, Applied Sciences and IEEE Signal Processing Letters.

In The Last Decade

C. D'Elia

27 papers receiving 266 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C. D'Elia Italy 8 156 98 77 51 37 29 291
Shuang Luo China 10 170 1.1× 122 1.2× 58 0.8× 33 0.6× 36 1.0× 33 387
B. Solaiman France 8 95 0.6× 66 0.7× 63 0.8× 28 0.5× 22 0.6× 45 273
Yisong Chen China 10 254 1.6× 58 0.6× 95 1.2× 65 1.3× 11 0.3× 29 391
Meer United States 4 261 1.7× 66 0.7× 81 1.1× 53 1.0× 13 0.4× 4 373
Alexandre L. M. Levada Brazil 9 109 0.7× 57 0.6× 48 0.6× 30 0.6× 20 0.5× 52 244
Euisun Choi South Korea 7 170 1.1× 37 0.4× 88 1.1× 23 0.5× 19 0.5× 23 356
Ahmed M. Nazif Egypt 5 399 2.6× 132 1.3× 104 1.4× 36 0.7× 14 0.4× 10 550
Glen P. Abousleman United States 11 403 2.6× 116 1.2× 55 0.7× 36 0.7× 68 1.8× 62 497

Countries citing papers authored by C. D'Elia

Since Specialization
Citations

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

Fields of papers citing papers by C. D'Elia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. D'Elia. 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 C. D'Elia. The network helps show where C. D'Elia may publish in the future.

Co-authorship network of co-authors of C. D'Elia

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

All Works

20 of 20 papers shown
1.
Imoize, Agbotiname Lucky, et al.. (2025). Secrecy energy efficiency maximization in dual-metasurface-aided wireless networks. EURASIP Journal on Advances in Signal Processing. 2025(1).
2.
Schettino, Fulvio, et al.. (2023). A Simple and Low-Cost Technique for 5G Conservative Human Exposure Assessment. Applied Sciences. 13(6). 3524–3524. 2 indexed citations
3.
Interdonato, Giovanni, et al.. (2023). On the Coexistence of eMBB and URLLC in Multi-Cell Massive MIMO. IEEE Open Journal of the Communications Society. 4. 1040–1059. 17 indexed citations
4.
Buzzi, Stefano, Carmen D’Andrea, & C. D'Elia. (2018). User-Centric Cell-Free Massive MIMO with Interference Cancellation and Local ZF Downlink Precoding. 1–5. 21 indexed citations
5.
D'Elia, C., et al.. (2014). PROBABILISTIC APPROACH AS A SUPPORT SYSTEM FOR SAFETY-CRITICAL ENVIRONMENTS BY KNOWLEDGE DRIVEN BAYESIAN NETWORKS. CINECA IRIS Institutial research information system (Parthenope University of Naples). 280–288. 1 indexed citations
6.
Marrocco, Claudio, Mario Molinara, C. D'Elia, & Francesco Tortorella. (2010). A computer-aided detection system for clustered microcalcifications. Artificial Intelligence in Medicine. 50(1). 23–32. 25 indexed citations
7.
Alparone, Luciano, et al.. (2010). Multiresolution despeckling of VHR SAR images based on MRF segmentation. Florence Research (University of Florence). pami 11. 288–291. 3 indexed citations
8.
Stefano, Claudio De, C. D'Elia, Angelo Marcelli, & Alessandra Scotto di Freca. (2007). Using Bayesian Network for combining classifiers. 73–80. 2 indexed citations
9.
Stefano, Claudio De, C. D'Elia, Alessandra Scotto di Freca, & Angelo Marcelli. (2007). INCORPORATING A WAVELET TRANSFORM INTO A SALIENCY-BASED METHOD FOR ONLINE HANDWRITING SEGMENTATION. International Journal of Pattern Recognition and Artificial Intelligence. 21(1). 43–59. 1 indexed citations
10.
Stefano, Claudio De, C. D'Elia, Angelo Marcelli, & Alessandra Scotto di Freca. (2007). Using Bayesian Network for combining classifiers. 3. 73–80. 1 indexed citations
11.
Budillon, Alessandra, Giovanni Cuozzo, C. D'Elia, & Gilda Schirinzi. (2005). Application of overcomplete ICA to SAR image compression. CINECA IRIS Institutial research information system (Parthenope University of Naples). 1. 152–155. 3 indexed citations
12.
D'Elia, C., et al.. (2004). An MRF based technique for speckle reduction in sar images. 6. 4211–4214. 2 indexed citations
13.
D'Elia, C., Giovanni Poggi, & Giuseppe Scarpa. (2004). Sequential Bayesian segmentation of remote sensing images. CINECA IRIS Institutial research information system (Parthenope University of Naples). 2. III–985.
14.
D'Elia, C., et al.. (2004). Improved tree-structured segmentation of remote sensing images. CINECA IRIS Institutial research information system (Parthenope University of Naples). 3. 1805–1807. 2 indexed citations
15.
Cuozzo, Giovanni, et al.. (2004). A method based on tree-structured Markov random field for forest area classification. 4. 2352–2354. 5 indexed citations
16.
D'Elia, C., et al.. (2003). A tree-structured Markov random field model for bayesian image segmentation. IEEE Transactions on Image Processing. 12(10). 1259–1273. 111 indexed citations
17.
D'Elia, C., Giovanni Poggi, & Giuseppe Scarpa. (2002). An Adaptive Mrf Model For Boundary-Preserving Segmentation Of Multispectral Images. Zenodo (CERN European Organization for Nuclear Research). 1–4. 4 indexed citations
18.
D'Elia, C., Giovanni Poggi, & Giuseppe Scarpa. (2002). Advances in the segmentation and compression of multispectral images. 6. 2671–2673. 4 indexed citations
19.
D'Elia, C., Giovanni Poggi, & Luisa Verdoliva. (2002). Compression of SAR raw data via range focusing and trellis coded quantization. 6. 2642–2644. 1 indexed citations
20.
D'Elia, C., Giovanni Poggi, & Luisa Verdoliva. (2001). Compression of SAR raw data through range focusing and variable-rate trellis-coded quantization. IEEE Transactions on Image Processing. 10(9). 1278–1287. 13 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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