Leo Iaquinta

451 total citations
17 papers, 230 citations indexed

About

Leo Iaquinta is a scholar working on Information Systems, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Leo Iaquinta has authored 17 papers receiving a total of 230 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Information Systems, 6 papers in Computer Vision and Pattern Recognition and 6 papers in Artificial Intelligence. Recurrent topics in Leo Iaquinta's work include Recommender Systems and Techniques (9 papers), Image Retrieval and Classification Techniques (5 papers) and Topic Modeling (3 papers). Leo Iaquinta is often cited by papers focused on Recommender Systems and Techniques (9 papers), Image Retrieval and Classification Techniques (5 papers) and Topic Modeling (3 papers). Leo Iaquinta collaborates with scholars based in Italy and Spain. Leo Iaquinta's co-authors include Giovanni Semeraro, Marco de Gemmis, Pasquale Lops, Piero Molino, Michele Filannino, Pierpaolo Basile, Fedelucio Narducci, Cataldo Musto, Annalina Caputo and Anna Lisa Gentile and has published in prestigious journals such as Information Sciences, Neuroepidemiology and International Journal of Information and Communication Technology.

In The Last Decade

Leo Iaquinta

14 papers receiving 216 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Leo Iaquinta Italy	7	151	89	58	33	24	17	230
Yanen Li United States	10	156 1.0×	148 1.7×	63 1.1×	32 1.0×	21 0.9×	15	286
Dimitrios Kotzias United States	6	68 0.5×	179 2.0×	26 0.4×	18 0.5×	20 0.8×	10	275
Shuyuan Xu United States	13	261 1.7×	295 3.3×	49 0.8×	66 2.0×	24 1.0×	33	431
Owen Phelan Ireland	4	175 1.2×	119 1.3×	50 0.9×	12 0.4×	49 2.0×	6	299
Santosh Kumar Ray India	9	61 0.4×	179 2.0×	29 0.5×	15 0.5×	20 0.8×	23	286
Huimin Zeng United States	8	95 0.6×	192 2.2×	72 1.2×	16 0.5×	55 2.3×	40	280
George Valkanas Greece	10	83 0.5×	84 0.9×	37 0.6×	10 0.3×	42 1.8×	22	253
T. Meyyappan India	7	72 0.5×	122 1.4×	46 0.8×	12 0.4×	42 1.8×	31	249
Manuel Carlos Díaz–Galiano Spain	10	66 0.4×	278 3.1×	55 0.9×	17 0.5×	31 1.3×	48	393
Andreas Lommatzsch Germany	8	147 1.0×	106 1.2×	51 0.9×	33 1.0×	20 0.8×	30	197

Countries citing papers authored by Leo Iaquinta

Since Specialization

Citations

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

Fields of papers citing papers by Leo Iaquinta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leo Iaquinta

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

All Works

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17 of 17 papers shown

1.

Massaro, Alessandro, et al.. (2019). A Case Study of Process Engineering of Operations In Working Sites Through Data Mining and Augmented Reality. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations

2.

Massaro, Alessandro, et al.. (2019). A Case Study of Process Engineering of Operations In Working Sites Through Data Mining and Augmented Reality. 9(5). 1–19. 3 indexed citations

3.

Iaquinta, Leo, et al.. (2017). Cluster analysis for user segmentation in e-government service domain. International Journal of Information and Communication Technology. 11(3). 412–412. 1 indexed citations

4.

Narducci, Fedelucio, Pierpaolo Basile, Cataldo Musto, et al.. (2016). Concept-based item representations for a cross-lingual content-based recommendation process. Information Sciences. 374. 15–31. 46 indexed citations

5.

Iaquinta, Leo, et al.. (2014). A fuzzy model for service value assessment. BOA (University of Milano-Bicocca). 1181. 48–57.

6.

Forrester, John, et al.. (2013). SMART project: Industrial and Academic Collaboration for Service Design..

7.

Iaquinta, Leo, et al.. (2013). User segmentation in e-Government services. BOA (University of Milano-Bicocca). 997. 28–33. 1 indexed citations

8.

Ardissono, Liliana, Juan Antonio Barceló, Antonio Chella, et al.. (2013). The contribution of AI to enhance understanding of Cultural Heritage. Nova Science Publishers (Nova Science Publishers, Inc.). 7(2). 101–112. 7 indexed citations

9.

Iaquinta, Leo & Giovanni Semeraro. (2011). Lightweight Approach to the Cold Start Problem in the Video Lecture Recommendation. 6 indexed citations

10.

Iaquinta, Leo, Marco de Gemmis, Pasquale Lops, & Giovanni Semeraro. (2009). Recommendations toward Serendipitous Diversions. CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro). 1049–1054. 6 indexed citations

11.

Basile, Pierpaolo, Marco de Gemmis, Leo Iaquinta, et al.. (2009). SpIteR: A Module for Recommending Dynamic Personalized Museum Tours. CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro). 584–587. 4 indexed citations

12.

Iaquinta, Leo, Marco de Gemmis, Pasquale Lops, et al.. (2008). Introducing Serendipity in a Content-Based Recommender System. CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro). 168–173. 118 indexed citations

13.

Basile, Pierpaolo, Marco de Gemmis, Anna Lisa Gentile, Leo Iaquinta, & Pasquale Lops. (2008). META - MultilanguagE Text Analyzer. CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro). 137–140. 9 indexed citations

14.

Basile, Pierpaolo, Marco de Gemmis, Leo Iaquinta, Anna Lisa Gentile, & Pasquale Lops. (2007). The JUMP project: domain ontologies and linguistic knowledge @ work. MADOC (University of Mannheim). 54(4). 440–3. 3 indexed citations

15.

Iaquinta, Leo, Anna Lisa Gentile, Pasquale Lops, Marco de Gemmis, & Giovanni Semeraro. (2007). A Hybrid Content-Collaborative Recommender System Integrated into an Electronic Performance Support System. 47–52. 4 indexed citations

16.

Iaquinta, Leo, Anna Lisa Gentile, Pasquale Lops, Marco de Gemmis, & Giovanni Semeraro. (2007). A Hybrid Content-Collaborative Recommender System Integrated into an Electronic Performance Support System. CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro). 47–52. 3 indexed citations

17.

Fratiglioni, Laura, et al.. (1989). Transient Ischemic Attacks in the Community: Occurrence and Clinical Characteristics. Neuroepidemiology. 8(2). 87–96. 18 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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