Vito Walter Anelli

1.0k citations
51 papers · 375 indexed · h-index 11
Topics
Recommender Systems and Techniques (31 papers)Topic Modeling (18 papers)Advanced Graph Neural Networks (14 papers)
Partner nations
ItalyUnited StatesSpain

In The Last Decade

Vito Walter Anelli

44 papers receiving 368 citations

Peers

Vito Walter Anelli
Comparison fields: 5 of 74
  • Information Systems 236
  • Artificial Intelligence 232
  • Computer Vision and Pattern Recognition 65
  • Management Science and Operations Research 47
  • Sociology and Political Science 29
Replace Maliheh Izadi with:
Maliheh Izadi Netherlands
Shuyuan Xu United States
Hugues Bouchard United States
Jiarui Qin China
Alex Ratner United States
Enayat Rajabi Canada
G Veena India
Bhanukiran Vinzamuri United States
Vito Claudio Ostuni Italy
Milija Suknović Serbia
Vito Walter Anelli relative to Maliheh Izadi Netherlands Maliheh Izadi's profile →
Citations per field
00.5×1.5×
Maliheh Izadi · 1×
Citations per year

Countries citing papers authored by Vito Walter Anelli

Since Specialization
Citations

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

Fields of papers citing papers by Vito Walter Anelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vito Walter Anelli. 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 Vito Walter Anelli. The network helps show where Vito Walter Anelli may publish in the future.

Co-authorship network of co-authors of Vito Walter Anelli

This figure shows the co-authorship network connecting the top 25 collaborators of Vito Walter Anelli. A scholar is included among the top collaborators of Vito Walter Anelli 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 Vito Walter Anelli. Vito Walter Anelli 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
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5 4
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7 10
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9 11
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11 23
12 41
13
Adherence and Constancy in LIME-RS Explanations for Recommendation (Long paper).
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14 4
15 8
16
Knowledge-enhanced Shilling Attacks for Recommendation.
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Recommender Systems Fairness Evaluation via Generalized Cross Entropy
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19 13
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About Vito Walter Anelli

Vito Walter Anelli is a scholar working on Information Systems, Artificial Intelligence and Health Informatics, having authored 51 papers that have together received 375 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (31 papers), Topic Modeling (18 papers) and Advanced Graph Neural Networks (14 papers). The work is most often cited by research in Information Systems (236 citations), Health Informatics (13 citations) and Artificial Intelligence (232 citations). Vito Walter Anelli has collaborated with scholars based in Italy, United States and Spain. Frequent co-authors include Tommaso Di Noia, Yashar Deldjoo, Paolo Tomeo, Eugenio Di Sciascio, Ignacio Fernández-Tobías, Iván Cantador, Fedelucio Narducci, Alejandro Bellogín, Felice Antonio Merra and Hamed Zamani. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Transactions on Knowledge and Data Engineering.

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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