Silvia Lameri

415 total citations
9 papers, 285 citations indexed

About

Silvia Lameri is a scholar working on Computer Vision and Pattern Recognition, Law and Ocean Engineering. According to data from OpenAlex, Silvia Lameri has authored 9 papers receiving a total of 285 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 2 papers in Law and 1 paper in Ocean Engineering. Recurrent topics in Silvia Lameri's work include Video Analysis and Summarization (6 papers), Digital Media Forensic Detection (6 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Silvia Lameri is often cited by papers focused on Video Analysis and Summarization (6 papers), Digital Media Forensic Detection (6 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Silvia Lameri collaborates with scholars based in Italy, Brazil and United Kingdom. Silvia Lameri's co-authors include Stefano Tubaro, Paolo Bestagini, Luca Bondi, David Güera, Edward J. Delp, Maurizio Lualdi, Federico Lombardi, Anderson Rocha, Marco Tagliasacchi and Zanoni Dias and has published in prestigious journals such as Virtual Community of Pathological Anatomy (University of Castilla La Mancha).

In The Last Decade

Silvia Lameri

9 papers receiving 276 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Silvia Lameri Italy	6	197	79	43	40	37	9	285
Sara Mandelli Italy	9	195 1.0×	46 0.6×	78 1.8×	27 0.7×	7 0.2×	23	295
Jiangtao Nie China	8	289 1.5×	26 0.3×	14 0.3×	336 8.4×	27 0.7×	22	421
Liang Han China	8	153 0.8×	6 0.1×	11 0.3×	46 1.1×	13 0.4×	22	217
Ricard Durall Germany	6	223 1.1×	28 0.4×	45 1.0×	13 0.3×	6 0.2×	15	316
Huiyao Wan China	8	164 0.8×	34 0.4×	7 0.2×	47 1.2×	10 0.3×	13	308
Yice Cao China	9	150 0.8×	47 0.6×	2 0.0×	113 2.8×	13 0.4×	26	336
Junlin Han Australia	4	219 1.1×	12 0.2×	3 0.1×	56 1.4×	13 0.4×	4	260
Dongdong Zhao China	10	112 0.6×	33 0.4×	5 0.1×	21 0.5×	17 0.5×	25	261
Haohao Ren China	11	71 0.4×	119 1.5×	9 0.2×	42 1.1×	39 1.1×	45	324
Jiamei Fu China	5	239 1.2×	47 0.6×	3 0.1×	43 1.1×	18 0.5×	10	415

Countries citing papers authored by Silvia Lameri

Since Specialization

Citations

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

Fields of papers citing papers by Silvia Lameri

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Silvia Lameri

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

All Works

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9 of 9 papers shown

Lameri, Silvia, Federico Lombardi, Paolo Bestagini, Maurizio Lualdi, & Stefano Tubaro. (2017). Landmine detection from GPR data using convolutional neural networks. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 508–512. 85 indexed citations

Lameri, Silvia, et al.. (2017). Near-duplicate video detection exploiting noise residual traces. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 3. 1497–1501. 5 indexed citations

Bondi, Luca, Silvia Lameri, David Güera, et al.. (2017). Tampering Detection and Localization Through Clustering of Camera-Based CNN Features. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1855–1864. 138 indexed citations

Mandelli, Sara, Luca Bondi, Silvia Lameri, et al.. (2017). Inpainting-Based camera anonymization. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 6. 1522–1526. 3 indexed citations

Lameri, Silvia, Paolo Bestagini, & Stefano Tubaro. (2016). Video alignment for phylogenetic analysis. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 2255–2259. 3 indexed citations

Lameri, Silvia, et al.. (2016). Hash-based frame selection for video phylogeny. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1–6. 11 indexed citations

Costa, Felipe Osório, Silvia Lameri, Paolo Bestagini, et al.. (2015). Phylogeny reconstruction for misaligned and compressed video sequences. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 301–305. 15 indexed citations

Melloni, Andrea, Silvia Lameri, Paolo Bestagini, Marco Tagliasacchi, & Stefano Tubaro. (2015). Near-duplicate detection and alignment for multi-view videos. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 2444–2448. 6 indexed citations

Lameri, Silvia, Paolo Bestagini, Simone Milani, et al.. (2014). Who is my parent? Reconstructing video sequences from partially matching shots. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 19. 5342–5346. 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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