Alessandro Adamou

438 total citations · 1 hit paper
25 papers, 229 citations indexed

About

Alessandro Adamou is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Alessandro Adamou has authored 25 papers receiving a total of 229 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 7 papers in Information Systems and 7 papers in Signal Processing. Recurrent topics in Alessandro Adamou's work include Semantic Web and Ontologies (11 papers), Music and Audio Processing (6 papers) and Digital Humanities and Scholarship (4 papers). Alessandro Adamou is often cited by papers focused on Semantic Web and Ontologies (11 papers), Music and Audio Processing (6 papers) and Digital Humanities and Scholarship (4 papers). Alessandro Adamou collaborates with scholars based in United Kingdom, Ireland and Switzerland. Alessandro Adamou's co-authors include Mathieu d’Aquin, Sarah Kenderdine, Stefan Dietze, Enrico Daga, Simon Brown, Enrico Motta, Lora Aroyo, Valentina Presutti, Guus Schreiber and Aldo Gangemi and has published in prestigious journals such as Semantic Web, Journal on Computing and Cultural Heritage and International Journal on Digital Libraries.

In The Last Decade

Alessandro Adamou

21 papers receiving 215 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.

Digitizing Intangible Cultural Heritage Embodied: State of the Art

2022 100 citations Sarah Kenderdine, Alessandro Adamou et al. Journal on Computing and Cultural Heritage profile →

Peers

Alessandro Adamou

AI

IS

CVPR

CSA

GEOLO

Vassilis Poulopoulos Greece

Enrico Daga United Kingdom

Dimitrios Koukopoulos Greece

Sotiris Diplaris Greece

Robert Tansley United Kingdom

Albert Meroño-Peñuela United Kingdom

Francesco Poggi Italy

Rao Shen United States

Markos Konstantakis Greece

Tien‐Yu Hsu Taiwan

Vassilis Poulopoulos Greece

Alessandro Adamou

86 ×1.0

AI

111 ×2.5

IS

66 ×1.5

CVPR

43 ×1.3

CSA

34 ×1.5

GEOLO

Citations per year, relative to Alessandro Adamou Alessandro Adamou (= 1×) peers Vassilis Poulopoulos

Countries citing papers authored by Alessandro Adamou

Since Specialization

Citations

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

Fields of papers citing papers by Alessandro Adamou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alessandro Adamou

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

All Works

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20 of 20 papers shown

1.

Adamou, Alessandro, et al.. (2024). VANET-DEEP-MP: A Deep Learning Model for Mobility Prediction in VANET. 3727–3732.

2.

Adamou, Alessandro, et al.. (2023). Hypertext as Method. Open Research Online (The Open University). 1–4. 1 indexed citations

3.

Adamou, Alessandro, et al.. (2023). Orchestrating Cultural Heritage. IRIS. 1–4.

4.

Adamou, Alessandro, et al.. (2023). The Facets of Intangible Heritage in Southern Chinese Martial Arts: Applying a Knowledge-driven Cultural Contact Detection Approach. Journal on Computing and Cultural Heritage. 16(3). 1–27. 3 indexed citations

5.

Adamou, Alessandro, et al.. (2023). Experiential Observations: An Ontology Pattern-Based Study on Capturing the Potential Content within Evidences of Experiences. Journal on Computing and Cultural Heritage. 16(3). 1–30. 1 indexed citations

6.

Kenderdine, Sarah, et al.. (2022). Digitizing Intangible Cultural Heritage Embodied: State of the Art. Journal on Computing and Cultural Heritage. 15(3). 1–20. 100 indexed citations breakdown →

7.

Adamou, Alessandro, et al.. (2021). Ontology-Mediated Cultural Contact Detection Through Motion and Style in Southern Chinese Martial Arts. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1 indexed citations

8.

Adamou, Alessandro, et al.. (2018). Crowdsourcing Linked Data on listening experiences through reuse and enhancement of library data. International Journal on Digital Libraries. 20(1). 61–79. 12 indexed citations

9.

Adamou, Alessandro, et al.. (2018). Co-Simulation of the Different Parameters Affecting Lighting Conditions and User Preferences in Working Environments. 1–6. 3 indexed citations

10.

Adamou, Alessandro, et al.. (2017). Supporting virtual integration of Linked Data with just-in-time query recompilation. 782. 112–119.

11.

Adamou, Alessandro, Enrico Daga, & Leif Isaksen. (2016). Proceedings of the 1st Workshop on Humanities in the Semantic Web co-located with 13th ESWC Conference 2016 (ESWC 2016). 1 indexed citations

12.

Daga, Enrico, et al.. (2016). The Open University Linked Data – data.open.ac.uk. Semantic Web. 7(2). 183–191. 16 indexed citations

13.

Adamou, Alessandro & Mathieu d’Aquin. (2015). On Requirements for Federated Data Integration as a Compilation Process.. Open Research Online (The Open University). 75–80. 3 indexed citations

14.

Brown, Simon, et al.. (2015). The Listening Experience Database Project: Collating the Responses of the “Ordinary Listener” to Prompt New Insights into Musical Experience. The International Journal of the Humanities Annual Review. 13(1). 17–32. 2 indexed citations

15.

Adamou, Alessandro, et al.. (2014). LED: curated and crowdsourced linked data on music listening experiences. Open Research Online (The Open University). 93–96. 4 indexed citations

16.

Brown, Simon, et al.. (2014). Building listening experience Linked Data through crowd-sourcing and reuse of library data. 1–8. 1 indexed citations

17.

d’Aquin, Mathieu, et al.. (2014). Dealing with diversity in a smart-city datahub. Open Research Online (The Open University). 68–82. 9 indexed citations

18.

Zerr, Sergej, Mathieu d’Aquin, Ivana Marenzi, et al.. (2014). Towards analytics and collaborative exploration of social and linked media for technology-enchanced learning scenarios. Open Research Online (The Open University). 1 indexed citations

19.

Adamou, Alessandro, Paolo Ciancarini, Aldo Gangemi, & Valentina Presutti. (2013). The foundations of virtual ontology networks. Open Research Online (The Open University). 49–56. 1 indexed citations

20.

Presutti, Valentina, et al.. (2011). Extracting Core Knowledge from Linked Data. Data Archiving and Networked Services (DANS). 782. 37–48. 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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