Marco Manna

982 citations
36 papers · 388 · h-index 12

Impact in

Papers in

Marco Manna

31 papers receiving 360 citations

Peers

Marco Manna
Comparison fields: 5 of 56
  • Artificial Intelligence 253
  • Computer Networks and Communications 131
  • Nutrition and Dietetics 31
  • Signal Processing 22
  • Polymers and Plastics 25
Replace Makoto Murata with:
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John T. O’Donnell United Kingdom
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Songyang Wu China
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Marco Manna relative to Makoto Murata Japan Makoto Murata's profile →
Citations per field
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Citations per year

Countries citing papers authored by Marco Manna

Since Specialization
Citations

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

Fields of papers citing papers by Marco Manna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Marco Manna, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Marco Manna Line = papers co-authored together Marco Manna links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201157
2 199655
3 201148
4
Efficiently Computable Datalog ∃ programs
201227
5 201020
6 201820
7 201520
8 201618
9
Polynomial combined rewritings for existential rules
201415
10 201214
11
Polynomial rewritings for linear existential rules
201511
12 201211
13
Exploiting ASP for Semantic Information Extraction.
200510
14 20139
15 20198
16 20176
17 20105
18 20164
19 20074
20 20184

About Marco Manna

Marco Manna is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Signal Processing and Molecular Biology, having authored 36 papers that have together received 388 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (24 papers), Logic, Reasoning, and Knowledge (18 papers), Advanced Database Systems and Queries (15 papers), Service-Oriented Architecture and Web Services (4 papers), Natural Language Processing Techniques (4 papers), Multi-Agent Systems and Negotiation (4 papers), Direction-of-Arrival Estimation Techniques (2 papers) and Electronic Health Records Systems (2 papers). The work is most often cited by research in Artificial Intelligence (253 citations), Computer Networks and Communications (131 citations), Nutrition and Dietetics (31 citations), Signal Processing (22 citations) and Polymers and Plastics (25 citations). Marco Manna has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Nicola Leone, Francesco Ricca, Giorgio Terracina, Andréas Pieris, Georg Gottlob, Mario Alviano, Giovanni Grasso, Patrick R. Griffin, Steven M. Hutchins and Ronald M. Kim. Their work appears in journals such as Theory and Practice of Logic Programming, Journal of Computer and System Sciences, The Journal of Pediatrics, ACM Transactions on Computational Logic and Information Sciences.

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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