Marco Carpentieri

450 citations
29 papers · 169 · h-index 7

Impact in

  • Anthropology top 10%
    • Pleistocene-Era Hominins and Archaeology
    • Evolution and Paleontology Studies
    • Archaeology and ancient environmental studies

Papers in

    • Evolutionary Algorithms and Applications 6
    • Quantum Computing Algorithms and Architecture 3
    • Metaheuristic Optimization Algorithms Research 3
    • Pleistocene-Era Hominins and Archaeology 11

Marco Carpentieri

26 papers receiving 163 citations

Peers

Marco Carpentieri
Comparison fields: 5 of 27
  • Anthropology 49
  • Paleontology 35
  • Computational Theory and Mathematics 51
  • Artificial Intelligence 93
  • Archeology 19
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Citations per field
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Citations per year

Countries citing papers authored by Marco Carpentieri

Since Specialization
Citations

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

Fields of papers citing papers by Marco Carpentieri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Marco Carpentieri, 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 Carpentieri Line = papers co-authored together Marco Carpentieri links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199529
2 200125
3 200117
4 202315
5 198111
6 20049
7 20247
8 20246
9 20226
10 20066
11 20234
12 20234
13 20004
14 20064
15 20243
16
Analysis of a Genetic Model.
19973
17 20073
18 20242
19 20252
20 20082

About Marco Carpentieri

Marco Carpentieri is a scholar working on Artificial Intelligence, Anthropology, Paleontology, Archeology and Molecular Biology, having authored 29 papers that have together received 169 indexed citations. Recurring topics across this work include Pleistocene-Era Hominins and Archaeology (11 papers), Archaeology and ancient environmental studies (8 papers), Evolutionary Algorithms and Applications (6 papers), Evolution and Paleontology Studies (5 papers), Gene Regulatory Network Analysis (4 papers), Forensic Anthropology and Bioarchaeology Studies (3 papers), Quantum Computing Algorithms and Architecture (3 papers) and Metaheuristic Optimization Algorithms Research (3 papers). The work is most often cited by research in Anthropology (49 citations), Paleontology (35 citations), Computational Theory and Mathematics (51 citations), Artificial Intelligence (93 citations) and Archeology (19 citations). Marco Carpentieri has collaborated with scholars based in Italy, France and Spain. Frequent co-authors include Alberto Bertoni, Marta Arzarello, Beatrice Paternoster, Marie‐Hélène Moncel, Alessio Iannucci, Beniamino Mecozzi, Antonio Pineda, V.F. Sacchi, Maria Grazia Cattaneo and B. Giordana. Their work appears in journals such as Theoretical Computer Science, Journal of Quaternary Science, Evolutionary Computation, Archaeological and Anthropological Sciences and Applied Numerical Mathematics.

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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