Emanuela Marasco

985 citations
40 papers · 583 indexed · h-index 12
Topics
Biometric Identification and Security (32 papers)Forensic Fingerprint Detection Methods (19 papers)User Authentication and Security Systems (16 papers)
Journals
SHILAP Revista de lepidopterologíaACM Computing SurveysPattern Recognition Letters

In The Last Decade

Emanuela Marasco

35 papers receiving 555 citations

Peers

Emanuela Marasco
Comparison fields: 5 of 50
  • Signal Processing 507
  • Computer Vision and Pattern Recognition 296
  • Safety Research 239
  • Information Systems 226
  • Genetics 77
Replace Neil Yager with:
Neil Yager Australia
Meltem Demirkus Canada
Sunpreet S. Arora United States
David Yambay United States
Martin Drahanský Czechia
K. Kollreider Sweden
Daksha Yadav United States
Naman Kohli India
Elham Tabassi United States
Soweon Yoon United States
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Citations per field
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Citations per year

Countries citing papers authored by Emanuela Marasco

Since Specialization
Citations

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

Fields of papers citing papers by Emanuela Marasco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emanuela Marasco

This figure shows the co-authorship network connecting the top 25 collaborators of Emanuela Marasco. A scholar is included among the top collaborators of Emanuela Marasco 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 Emanuela Marasco. Emanuela Marasco 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
#WorkIndexed citations
1 0
2 1
3 0
4 2
5 1
6 0
7 11
8 11
9 0
10 1
11 5
12 3
13 6
14 8
15 12
16
Detecting STR peaks in degraded DNA samples
1
17 66
18 2
19 27
20 8

About Emanuela Marasco

Emanuela Marasco is a scholar working on Signal Processing, Safety Research and Computer Vision and Pattern Recognition, having authored 40 papers that have together received 583 indexed citations. Recurring topics across this work include Biometric Identification and Security (32 papers), Forensic Fingerprint Detection Methods (19 papers) and User Authentication and Security Systems (16 papers). The work is most often cited by research in Signal Processing (507 citations), Safety Research (239 citations) and Computer Vision and Pattern Recognition (296 citations). Emanuela Marasco has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Arun Ross, Carlo Sansone, Bojan Čukić, Allen Y. Yang, Carsten Gottschlich, Peter Wild, Ilir Gashi, Thirimachos Bourlai, Liansheng Tang and Massimiliano Albanese. Their work appears in journals such as SHILAP Revista de lepidopterología, ACM Computing Surveys and Pattern Recognition Letters.

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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