Annalina Caputo

1.4k total citations · 1 hit paper
55 papers, 636 citations indexed

About

Annalina Caputo is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Annalina Caputo has authored 55 papers receiving a total of 636 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Artificial Intelligence, 15 papers in Information Systems and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Annalina Caputo's work include Topic Modeling (24 papers), Natural Language Processing Techniques (17 papers) and Semantic Web and Ontologies (13 papers). Annalina Caputo is often cited by papers focused on Topic Modeling (24 papers), Natural Language Processing Techniques (17 papers) and Semantic Web and Ontologies (13 papers). Annalina Caputo collaborates with scholars based in Ireland, Italy and Switzerland. Annalina Caputo's co-authors include Pierpaolo Basile, Giovanni Semeraro, Ramin Ranjbarzadeh, Malika Bendechache, Erfan Babaee Tırkolaee, Saeid Jafarzadeh Ghoushchi, Lise Jaillant, Pasquale Lops, Marco de Gemmis and Sadia Samar Ali and has published in prestigious journals such as SHILAP Revista de lepidopterología, Information Sciences and Computers in Biology and Medicine.

In The Last Decade

Annalina Caputo

51 papers receiving 600 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.

Brain tumor segmentation of MRI images: A comprehensive review on the application of artificial intelligence tools

2022 171 citations Ramin Ranjbarzadeh, Annalina Caputo et al. Computers in Biology and Medicine profile →

Peers

Annalina Caputo

CVPR

NEURO

RNMI

Hamidreza Keshavarz Iran

Melike Şah Cyprus

Muhammad Imran Sharif Pakistan

Roberto Pirrone Italy

Jamin Rahman Jim Bangladesh

Umar Shoaib Pakistan

Ahmad Raza Shahid Pakistan

Arfan Jaffar Pakistan

Gopal Krishna Nayak India

Sitara Afzal South Korea

Hamidreza Keshavarz Iran

Annalina Caputo

350 ×1.0

178 ×0.8

CVPR

227 ×1.4

NEURO

66 ×0.7

60 ×0.7

RNMI

Citations per year, relative to Annalina Caputo Annalina Caputo (= 1×) peers Hamidreza Keshavarz

Countries citing papers authored by Annalina Caputo

Since Specialization

Citations

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

Fields of papers citing papers by Annalina Caputo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Annalina Caputo

This figure shows the co-authorship network connecting the top 25 collaborators of Annalina Caputo. A scholar is included among the top collaborators of Annalina Caputo 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 Annalina Caputo. Annalina Caputo 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

Caputo, Annalina, et al.. (2024). A Few-shot Learning Approach for Lexical Semantic Change Detection Using GPT-4. 187–192. 1 indexed citations

Caputo, Annalina, et al.. (2023). A Comprehensive Survey of Facet Ranking Approaches Used in Faceted Search Systems. Information. 14(7). 387–387. 1 indexed citations

Ranjbarzadeh, Ramin, et al.. (2023). Brain tumor segmentation based on optimized convolutional neural network and improved chimp optimization algorithm. Computers in Biology and Medicine. 168. 107723–107723. 60 indexed citations

Caputo, Annalina, et al.. (2023). Automatic transparency evaluation for open knowledge extraction systems. Journal of Biomedical Semantics. 14(1). 12–12.

Ninh, Van-Tu, Annalina Caputo, Graham Healy, et al.. (2023). LifeSeeker: an interactive concept-based retrieval system for lifelog data. Multimedia Tools and Applications. 82(24). 37855–37876.

McCarthy, Éanna, R. McCann, Annalina Caputo, et al.. (2022). Digitisation of metal AM for part microstructure and property control. International Journal of Material Forming. 15(3). 30–30. 25 indexed citations

Ranjbarzadeh, Ramin, Annalina Caputo, Erfan Babaee Tırkolaee, Saeid Jafarzadeh Ghoushchi, & Malika Bendechache. (2022). Brain tumor segmentation of MRI images: A comprehensive review on the application of artificial intelligence tools. Computers in Biology and Medicine. 152. 106405–106405. 171 indexed citations breakdown →

Ranjbarzadeh, Ramin, Shadi Dorosti, Saeid Jafarzadeh Ghoushchi, et al.. (2022). Breast tumor localization and segmentation using machine learning techniques: Overview of datasets, findings, and methods. Computers in Biology and Medicine. 152. 106443–106443. 56 indexed citations

Jaillant, Lise & Annalina Caputo. (2022). Unlocking digital archives: cross-disciplinary perspectives on AI and born-digital data. AI & Society. 37(3). 823–835. 20 indexed citations

10.

Ranjbarzadeh, Ramin, et al.. (2022). Brain Tumor Segmentation Based on an Optimized Convolutional Neural Network and an Improved Chimp Optimization Algorithm. SSRN Electronic Journal. 3 indexed citations

11.

Basile, Pierpaolo, Annalina Caputo, Séamus Lawless, & Giovanni Semeraro. (2019). Diachronic Analysis of Entities by ExploitingWikipedia Page revisions. CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro). 84–91. 1 indexed citations

12.

Caputo, Annalina, et al.. (2018). Temporal Entity Random Indexing.. DH. 460–461. 1 indexed citations

13.

Greco, Claudio, et al.. (2017). An Automatic Procedure for Generating Datasets for Conversational Recommender Systems.. CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro). 5 indexed citations

14.

Basile, Pierpaolo & Annalina Caputo. (2017). Entity linking for tweets. CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro). 1(1). 1630020–1630020. 4 indexed citations

15.

Basile, Pierpaolo, Annalina Caputo, Giovanni Semeraro, & Fedelucio Narducci. (2015). UNIBA: Exploiting a Distributional Semantic Model for Disambiguating and Linking Entities in Tweets.. CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro). 62. 4 indexed citations

16.

Basile, Pierpaolo, Annalina Caputo, Marco de Gemmis, Pasquale Lops, & Giovanni Semeraro. (2015). Modeling Short-Term Preferences in Time-Aware Recommender Systems.. CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro). 2 indexed citations

17.

Basile, Pierpaolo, Annalina Caputo, & Giovanni Semeraro. (2014). An Enhanced Lesk Word Sense Disambiguation Algorithm through a Distributional Semantic Model. CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro). 1591–1600. 89 indexed citations

18.

Caputo, Annalina, Pierpaolo Basile, & Giovanni Semeraro. (2012). UNIBA: Distributional Semantics for Textual Similarity. CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro). 591–596. 1 indexed citations

19.

Basile, Pierpaolo, Annalina Caputo, Anna Lisa Gentile, et al.. (2008). Improving retrieval experience exploiting semantic representation of documents. MADOC (University of Mannheim). 1 indexed citations

20.

Basile, Pierpaolo, Annalina Caputo, & Giovanni Semeraro. (2008). UNIBA-SENSE at CLEF 2008: SEmantic N-levels Search Engine. CLEF (Working Notes). 2 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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