Marco Valtorta

About

Marco Valtorta is a scholar working on Artificial Intelligence, Management Science and Operations Research and Information Systems. According to data from OpenAlex, Marco Valtorta has authored 43 papers receiving a total of 421 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Artificial Intelligence, 7 papers in Management Science and Operations Research and 7 papers in Information Systems. Recurrent topics in Marco Valtorta’s work include Bayesian Modeling and Causal Inference (26 papers), AI-based Problem Solving and Planning (9 papers) and Data Quality and Management (6 papers). Marco Valtorta is often cited by papers focused on Bayesian Modeling and Causal Inference (26 papers), AI-based Problem Solving and Planning (9 papers) and Data Quality and Management (6 papers). Marco Valtorta collaborates with scholars based in United States, Italy and Denmark. Marco Valtorta's co-authors include Moninder Singh, Yimin Huang, Young‐Gyun Kim, Jiří Vomlel, Csilla Farkas, Antonio Musso, Subramani Mani, Suzanne McDermott, Donald Loveland and Ferdinanda Ponci and has published in prestigious journals such as Information Sciences, Artificial Intelligence and IEEE Transactions on Instrumentation and Measurement.

In The Last Decade

Co-authorship network of co-authors of Marco Valtorta i

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Fields of papers citing papers by Marco Valtorta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Marco Valtorta

Since Specialization

Citations

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

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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