Cesare Valenti

1.1k total citations
56 papers, 610 citations indexed

About

Cesare Valenti is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Ophthalmology. According to data from OpenAlex, Cesare Valenti has authored 56 papers receiving a total of 610 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computer Vision and Pattern Recognition, 17 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Ophthalmology. Recurrent topics in Cesare Valenti's work include Medical Image Segmentation Techniques (14 papers), Retinal Imaging and Analysis (11 papers) and Advanced Image and Video Retrieval Techniques (9 papers). Cesare Valenti is often cited by papers focused on Medical Image Segmentation Techniques (14 papers), Retinal Imaging and Analysis (11 papers) and Advanced Image and Video Retrieval Techniques (9 papers). Cesare Valenti collaborates with scholars based in Italy, France and Palestinian Territory. Cesare Valenti's co-authors include Domenico Tegolo, Vito Di Gesù, Fabio Bellavia, Claudio Tripodo, S. Delia, Claudio Maria Mastroianni, Francesca Paoletti, Valeria Cancila, Ada Maria Florena and Mario P. Colombo and has published in prestigious journals such as Clinical Cancer Research, Journal of Neurology Neurosurgery & Psychiatry and IEEE Access.

In The Last Decade

Cesare Valenti

54 papers receiving 594 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cesare Valenti Italy 14 242 130 60 59 57 56 610
Kazuya Nakano Japan 14 107 0.4× 80 0.6× 36 0.6× 131 2.2× 62 1.1× 73 667
Guangzhe Zhao China 13 189 0.8× 90 0.7× 93 1.6× 72 1.2× 29 0.5× 41 543
Germán González United States 18 181 0.7× 317 2.4× 30 0.5× 33 0.6× 80 1.4× 56 913
Elizabeth Guevara‐Gutiérrez Mexico 13 88 0.4× 96 0.7× 65 1.1× 39 0.7× 38 0.7× 52 531
Seonwook Park South Korea 12 127 0.5× 164 1.3× 103 1.7× 11 0.2× 24 0.4× 24 437
Miao Liao China 25 908 3.8× 244 1.9× 54 0.9× 48 0.8× 269 4.7× 102 1.6k
Stefan Wörz Germany 17 296 1.2× 172 1.3× 20 0.3× 25 0.4× 295 5.2× 68 978
Junjun He China 15 638 2.6× 313 2.4× 32 0.5× 39 0.7× 20 0.4× 75 1.1k
Ilker Ersoy United States 16 502 2.1× 129 1.0× 45 0.8× 19 0.3× 121 2.1× 43 897
A.M. Vossepoel Netherlands 15 334 1.4× 259 2.0× 16 0.3× 9 0.2× 87 1.5× 59 731

Countries citing papers authored by Cesare Valenti

Since Specialization
Citations

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

Fields of papers citing papers by Cesare Valenti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cesare Valenti

This figure shows the co-authorship network connecting the top 25 collaborators of Cesare Valenti. A scholar is included among the top collaborators of Cesare Valenti 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 Cesare Valenti. Cesare Valenti 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.
Tegolo, Domenico, et al.. (2025). Transfer Learning for Facial Expression Recognition. Information. 16(4). 320–320. 5 indexed citations
2.
Triulzi, Tiziana, Marta Giussani, Elisa Maffioli, et al.. (2025). Proteomic landscape of decellularized breast carcinomas identifies C-type lectin domain family 3 member A as a driver of cancer aggressiveness. npj Breast Cancer. 11(1). 51–51.
3.
Raso, G., Vito Gentile, L. Abbene, et al.. (2023). Automated Stabilization, Enhancement and Capillaries Segmentation in Videocapillaroscopy. Sensors. 23(18). 7674–7674. 6 indexed citations
4.
Tabacchi, Marco Elio, Domenico Tegolo, Donato Cascio, et al.. (2022). A Fuzzy-Based Clinical Decision Support System for Coeliac Disease. IEEE Access. 10. 102223–102236. 6 indexed citations
5.
Tripodo, Claudio, Barbara Bassani, Elena Jachetti, et al.. (2022). Neutrophil extracellular traps arm DC vaccination against NPM-mutant myeloproliferation. eLife. 11. 13 indexed citations
6.
Lombardo, Christian R., Giuseppe Marino, Anand Marya, et al.. (2022). LinguAPP: An m-Health Application for Teledentistry Diagnostics. International Journal of Environmental Research and Public Health. 19(2). 822–822. 10 indexed citations
7.
Cumbo, Enzo, Antonio della Valle, Mohmed Isaqali Karobari, et al.. (2022). Evaluation of the Oral Microcirculation in Patients Undergoing Anti COVID-19 Vaccination: A Preliminary Study. Vaccines. 10(11). 1978–1978. 4 indexed citations
8.
Scardina, Giuseppe Alessandro, Giovanni Guercio, Cesare Valenti, Domenico Tegolo, & Pietro Messina. (2020). Videocapillaroscopy of the Oral Mucosa in Patients with Diabetic Foot: Possible Diagnostic Role of Microangiopathic Damage?. Journal of Clinical Medicine. 9(11). 3641–3641. 5 indexed citations
9.
Sangaletti, Sabina, Fabio Iannelli, Federica Zanardi, et al.. (2020). Intra-tumour heterogeneity of diffuse large B-cell lymphoma involves the induction of diversified stroma-tumour interfaces. EBioMedicine. 61. 103055–103055. 22 indexed citations
10.
Tegolo, Domenico, et al.. (2020). A visual framework to create photorealistic retinal vessels for diagnosis purposes. Journal of Biomedical Informatics. 108. 103490–103490. 12 indexed citations
11.
Ratti, Chiara, Laura Botti, Valeria Cancila, et al.. (2017). Trabectedin Overrides Osteosarcoma Differentiative Block and Reprograms the Tumor Immune Environment Enabling Effective Combination with Immune Checkpoint Inhibitors. Clinical Cancer Research. 23(17). 5149–5161. 64 indexed citations
12.
Bellavia, Fabio, Carmen Alina Lupaşcu, Pietro Messina, et al.. (2014). A non-parametric segmentation methodology for oral videocapillaroscopic images. Computer Methods and Programs in Biomedicine. 114(3). 240–246. 15 indexed citations
13.
Yu, Yuguo, et al.. (2013). Sparse Distributed Representation of Odors in a Large-scale Olfactory Bulb Circuit. PLoS Computational Biology. 9(3). e1003014–e1003014. 27 indexed citations
14.
Florena, Ada Maria, et al.. (2008). An automated image analysis methodology for classifying megakaryocytes in chronic myeloproliferative disorders. Medical Image Analysis. 12(6). 703–712. 30 indexed citations
15.
Bellavia, Fabio, et al.. (2006). Underwater archaeological mosaicing. Nova Science Publishers (Nova Science Publishers, Inc.). 1194–1199. 1 indexed citations
16.
Tegolo, Domenico, et al.. (2006). Prey-Predator Strategies in a Multiagent System. 184–189. 2 indexed citations
17.
Tripodo, Claudio, Cesare Valenti, Zbigniew Rudzki, et al.. (2006). Megakaryocytic features useful for the diagnosis of myeloproliferative disorders can be obtained by a novel unsupervised software analysis.. PubMed. 21(8). 813–21. 8 indexed citations
18.
Gesù, Vito Di & Cesare Valenti. (2001). Two-view “cylindrical decomposition” of binary images. Linear Algebra and its Applications. 339(1-3). 205–219. 3 indexed citations
19.
Gesù, Vito Di, et al.. (1997). Local operators to detect regions of interest. Pattern Recognition Letters. 18(11-13). 1077–1081. 25 indexed citations
20.
Mastroianni, Claudio Maria, Francesca Paoletti, Cesare Valenti, et al.. (1994). Tumour Necrosis Factor‐α Production and Immune Cell Activation in Tuberculous Meningitis. Mediators of Inflammation. 3(1). 57–60. 3 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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