Francesco Calimeri

2.1k total citations
71 papers, 653 citations indexed

About

Francesco Calimeri is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Francesco Calimeri has authored 71 papers receiving a total of 653 indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Artificial Intelligence, 13 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Francesco Calimeri's work include Logic, Reasoning, and Knowledge (40 papers), Multi-Agent Systems and Negotiation (29 papers) and Semantic Web and Ontologies (19 papers). Francesco Calimeri is often cited by papers focused on Logic, Reasoning, and Knowledge (40 papers), Multi-Agent Systems and Negotiation (29 papers) and Semantic Web and Ontologies (19 papers). Francesco Calimeri collaborates with scholars based in Italy, United Kingdom and Germany. Francesco Calimeri's co-authors include Aldo Marzullo, Elena De Momi, Francesco Ricca, Giovambattista Ianni, Claudio Stamile, Simona Perri, Nicola Leone, Giorgio Terracina, Wolfgang Faber and Martin Gebser and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Artificial Intelligence.

In The Last Decade

Francesco Calimeri

63 papers receiving 615 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Francesco Calimeri Italy	15	382	133	74	58	52	71	653
Can Zhao United States	15	179 0.5×	370 2.8×	373 5.0×	60 1.0×	54 1.0×	46	857
Mohammed Alawad United States	14	342 0.9×	93 0.7×	52 0.7×	49 0.8×	7 0.1×	49	564
Yuanyuan Chen China	10	96 0.3×	228 1.7×	122 1.6×	12 0.2×	60 1.2×	47	455
Mubashir Ahmad Pakistan	13	329 0.9×	268 2.0×	218 2.9×	28 0.5×	142 2.7×	29	715
Liangliang Liu China	8	160 0.4×	117 0.9×	175 2.4×	16 0.3×	70 1.3×	21	481
Jing Zheng China	12	262 0.7×	165 1.2×	131 1.8×	22 0.4×	128 2.5×	36	606
John Arévalo Colombia	13	705 1.8×	483 3.6×	367 5.0×	18 0.3×	93 1.8×	30	1.0k
K. Balasamy India	9	162 0.4×	177 1.3×	265 3.6×	27 0.5×	97 1.9×	19	610
Ioannis Kapouleas United States	6	256 0.7×	79 0.6×	108 1.5×	11 0.2×	9 0.2×	9	439

Countries citing papers authored by Francesco Calimeri

Since Specialization

Citations

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

Fields of papers citing papers by Francesco Calimeri

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Calimeri

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

Calimeri, Francesco, et al.. (2024). LLASP: Fine-tuning Large Language Models for Answer Set Programming. 834–844.

Marzullo, Aldo, Paolo Zaffino, Sara Steffanoni, et al.. (2023). Radiomics-Based Machine Learning Model for Predicting Overall and Progression-Free Survival in Rare Cancer: A Case Study for Primary CNS Lymphoma Patients. Bioengineering. 10(3). 285–285. 15 indexed citations

Calimeri, Francesco, et al.. (2023). EnviroStream: A Stream Reasoning Benchmark for Environmental and Climate Monitoring. Big Data and Cognitive Computing. 7(3). 135–135.

Robaldo, Livio, Sotiris Batsakis, Roberta Calegari, et al.. (2023). Compliance checking on first-order knowledge with conflicting and compensatory norms: a comparison among currently available technologies. Artificial Intelligence and Law. 32(2). 505–555. 7 indexed citations

Calimeri, Francesco, et al.. (2023). ASP-Based Declarative Reasoning in Data-Intensive Enterprise and IoT Applications. Algorithms. 16(3). 159–159.

Calimeri, Francesco, et al.. (2022). A hybrid inductive learning-based and deductive reasoning-based 3-D path planning method in complex environments. Autonomous Robots. 46(5). 645–666. 7 indexed citations

Marzullo, Aldo, et al.. (2022). Lesion segmentation in lung CT scans using unsupervised adversarial learning. Medical & Biological Engineering & Computing. 60(11). 3203–3215. 8 indexed citations

Calimeri, Francesco, et al.. (2019). Large-Scale Reasoning on Expressive Horn Ontologies.. 2368. 10–21. 1 indexed citations

Calimeri, Francesco, Francesco Cauteruccio, Aldo Marzullo, et al.. (2019). A Logic-Based Framework Leveraging Neural Networks for Studying the Evolution of Neurological Disorders. Università Politecnica delle Marche (Università Politecnica delle Marche). 19 indexed citations

10.

Marzullo, Aldo, Gabriel Kocevar, Claudio Stamile, et al.. (2019). Classification of Multiple Sclerosis Clinical Profiles via Graph Convolutional Neural Networks. Frontiers in Neuroscience. 13. 594–594. 49 indexed citations

11.

Calimeri, Francesco, Aldo Marzullo, Claudio Stamile, & Giorgio Terracina. (2018). Graph based neural networks for automatic classification of multiple sclerosis clinical courses.. The European Symposium on Artificial Neural Networks. 11 indexed citations

12.

Calimeri, Francesco, et al.. (2018). The AI system DLV: Ontologies, reasoning, and more. 2. 5–16. 1 indexed citations

13.

Calimeri, Francesco, Giovambattista Ianni, & Mirosław Truszczyński. (2015). Logic Programming and Nonmonotonic Reasoning: 13th International Conference, LPNMR 2015, Lexington, KY, USA, September 27-30, 2015. Proceedings. CERN Document Server (European Organization for Nuclear Research). 4 indexed citations

14.

Calimeri, Francesco, Martin Gebser, Marco Maratea, & Francesco Ricca. (2015). Design and results of the Fifth Answer Set Programming Competition. Artificial Intelligence. 231. 151–181. 43 indexed citations

15.

Calimeri, Francesco & Giovambattista Ianni. (2006). Template programs for Disjunctive Logic Programming: An operational semantics. AI Communications. 19(3). 193–206. 3 indexed citations

16.

Ianni, Giovambattista, et al.. (2004). Enhancing answer set programming with templates.. 233–239. 11 indexed citations

17.

Calimeri, Francesco, Stefania Galizia, Massimo Ruffolo, & Pasquale Rullo. (2003). Enhancing Disjunctive Logic Programming for Ontology Specification.. 63–74. 3 indexed citations

18.

Ianni, Giovambattista, et al.. (2003). Reasoning about the Semantic Web using Answer Set Programming. 324–336. 4 indexed citations

19.

Calimeri, Francesco, Wolfgang Faber, Nicola Leone, & Gerald Pfeifer. (2002). Pruning Operators for Answer Set Programming Systems. 200–209. 10 indexed citations

20.

Calimeri, Francesco, Wolfgang Faber, Nicola Leone, Simona Perri, & Gerald Pfeifer. (2001). DLV - Declarative Problem Solving Using Answer Set Programming. 1 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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