Ivan Serina

2.0k total citations
72 papers, 1.1k citations indexed

About

Ivan Serina is a scholar working on Artificial Intelligence, Computer Networks and Communications and Software. According to data from OpenAlex, Ivan Serina has authored 72 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Artificial Intelligence, 24 papers in Computer Networks and Communications and 13 papers in Software. Recurrent topics in Ivan Serina's work include AI-based Problem Solving and Planning (39 papers), Constraint Satisfaction and Optimization (22 papers) and Logic, Reasoning, and Knowledge (21 papers). Ivan Serina is often cited by papers focused on AI-based Problem Solving and Planning (39 papers), Constraint Satisfaction and Optimization (22 papers) and Logic, Reasoning, and Knowledge (21 papers). Ivan Serina collaborates with scholars based in Italy, United Kingdom and United States. Ivan Serina's co-authors include Alfonso Gerevini, Alessandro Saetti, Derek Long, Maria Fox, António Garrido, Tuan Anh Nguyen, Biplav Srivastava, Subbarao Kambhampati, Alberto Lavelli and Tahir Mehmood and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and ACM Computing Surveys.

In The Last Decade

Ivan Serina

62 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ivan Serina Italy 17 929 367 150 135 107 72 1.1k
Jörg Denzinger Canada 15 503 0.5× 167 0.5× 70 0.5× 64 0.5× 151 1.4× 95 815
Laurence Tratt United Kingdom 15 486 0.5× 217 0.6× 557 3.7× 40 0.3× 612 5.7× 47 1.0k
Michi Henning Norway 9 206 0.2× 309 0.8× 35 0.2× 73 0.5× 226 2.1× 10 633
Federico Maggi Italy 20 419 0.5× 497 1.4× 103 0.7× 94 0.7× 536 5.0× 50 1.1k
Nicolas Meuleau United States 15 615 0.7× 162 0.4× 34 0.2× 93 0.7× 28 0.3× 24 849
Patricia Riddle New Zealand 12 430 0.5× 99 0.3× 45 0.3× 91 0.7× 174 1.6× 57 692
Francesco Ricca Italy 17 775 0.8× 154 0.4× 15 0.1× 181 1.3× 101 0.9× 78 1.0k
Xinjun Mao China 12 219 0.2× 168 0.5× 43 0.3× 49 0.4× 181 1.7× 118 510
Chih‐Ping Chu Taiwan 15 187 0.2× 350 1.0× 48 0.3× 44 0.3× 218 2.0× 78 837

Countries citing papers authored by Ivan Serina

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Serina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ivan Serina

This figure shows the co-authorship network connecting the top 25 collaborators of Ivan Serina. A scholar is included among the top collaborators of Ivan Serina 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 Ivan Serina. Ivan Serina 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
1.
Simonetto, Anna, et al.. (2025). Deep-Learning-Based Land Cover Mapping in Franciacorta Wine Growing Area. Applied Sciences. 15(2). 871–871.
2.
Gerevini, Alfonso, et al.. (2025). Towards Efficient Online Goal Recognition through Deep Learning. 1895–1903.
3.
Simonetto, Anna, et al.. (2024). Advanced Image Preprocessing and Integrated Modeling for UAV Plant Image Classification. Drones. 8(11). 645–645. 1 indexed citations
4.
Gerevini, Alfonso, et al.. (2024). Discrimination Bias Detection Through Categorical Association in Pre-Trained Language Models. IEEE Access. 12. 162651–162667. 2 indexed citations
5.
Gerevini, Alfonso, et al.. (2023). Real-World Implementation and Integration of an Automatic Scoring System for Workplace Safety Courses in Italian. Future Internet. 15(8). 268–268. 2 indexed citations
6.
Gerevini, Alfonso, et al.. (2023). Goal Recognition as a Deep Learning Task: The GRNet Approach. Proceedings of the International Conference on Automated Planning and Scheduling. 33(1). 560–568. 2 indexed citations
7.
Mehmood, Tahir, et al.. (2023). Distilling Knowledge with a Teacher’s Multitask Model for Biomedical Named Entity Recognition. Information. 14(5). 255–255.
8.
Gerevini, Alfonso, et al.. (2018). Automatic classification of radiological reports for clinical care. Artificial Intelligence in Medicine. 91. 72–81. 20 indexed citations
9.
Gerevini, Alfonso, Alessandro Saetti, & Ivan Serina. (2011). An Empirical Analysis of Some Heuristic Features for Planning through Local Search and Action Graphs. Fundamenta Informaticae. 107(2-3). 167–197. 4 indexed citations
10.
Fox, Maria, Alfonso Gerevini, Derek Long, & Ivan Serina. (2006). Plan stability: replanning versus plan repair. Strathprints: The University of Strathclyde institutional repository (University of Strathclyde). 212–221. 119 indexed citations
11.
Gerevini, Alfonso, Alessandro Saetti, & Ivan Serina. (2006). An Approach to Temporal Planning and Scheduling in Domains with Predictable Exogenous Events. Journal of Artificial Intelligence Research. 25. 187–231. 69 indexed citations
12.
Gerevini, Alfonso, Alessandro Saetti, & Ivan Serina. (2005). Integrating planning and temporal reasoning for domains with durations and time windows. Institutional Research Information System (Università degli Studi di Brescia). 1226–1231. 7 indexed citations
13.
Gerevini, Alfonso, et al.. (2005). Fast planning in domains with derived predicates: An approach based on Rule-Action Graphs and local search. Institutional Research Information System (Università degli Studi di Brescia). 616. 1157–1162. 4 indexed citations
14.
Gerevini, Alfonso, Alessandro Saetti, & Ivan Serina. (2004). Planning with numerical expressions in LPG. Institutional Research Information System (Università degli Studi di Brescia). 110. 667–671. 11 indexed citations
15.
Gerevini, Alfonso, et al.. (2004). Planning in PDDL2.2 Domains with LPG-td. Institutional Research Information System (Università degli Studi di Brescia). 28 indexed citations
16.
Gerevini, Alfonso, Alessandro Saetti, & Ivan Serina. (2004). An empirical analysis of some heuristic features for local search in LPG. Institutional Research Information System (Università degli Studi di Brescia). 171–180. 6 indexed citations
17.
Gerevini, Alfonso, et al.. (2003). Local search techniques for temporal planning in LPG. International Conference on Automated Planning and Scheduling. 62–71. 6 indexed citations
18.
Gerevini, Alfonso & Ivan Serina. (2002). LPG: a planner based on local search for planning graphs with action costs. 13–22. 111 indexed citations
19.
Gerevini, Alfonso & Ivan Serina. (2000). Fast plan adaptation through planning graphs: local and systematic search techniques. Institutional Research Information System (Università degli Studi di Brescia). 112–121. 46 indexed citations
20.
Gerevini, Alfonso & Ivan Serina. (1999). Fast planning through greedy action graphs. Institutional Research Information System (Università degli Studi di Brescia). 503–510. 21 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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