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Alessio Palmisano
Researcher at University College London
Publications - 38
Citations - 1265
Alessio Palmisano is an academic researcher from University College London. The author has contributed to research in topics: Population & Climate change. The author has an hindex of 17, co-authored 34 publications receiving 875 citations. Previous affiliations of Alessio Palmisano include UCL Institute of Archaeology & Durham University.
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Journal ArticleDOI
Quantitative historical analysis uncovers a single dimension of complexity that structures global variation in human social organization.
Peter Turchin,Thomas E. Currie,Harvey Whitehouse,Pieter Francois,Kevin Feeney,Daniel Austin Mullins,Daniel Austin Mullins,Daniel Hoyer,Christina Collins,Stephanie Grohmann,Patrick E. Savage,Gavin Mendel-Gleason,Edward Turner,Agathe Dupeyron,Enrico Cioni,Jenny Reddish,Jill Levine,Greine Jordan,Eva Brandl,Alice Williams,Rudolf Cesaretti,Marta Krueger,Alessandro Ceccarelli,Joe Figliulo-Rosswurm,Po-Ju Tuan,Peter N. Peregrine,Peter N. Peregrine,Arkadiusz Marciniak,Johannes Preiser-Kapeller,Nikolay N. Kradin,Andrey Korotayev,Alessio Palmisano,David Baker,Julye Bidmead,Peter K. Bol,David Christian,Connie Cook,Connie Cook,Alan Covey,Gary M. Feinman,Árni Daníel Júlíusson,Axel Kristinsson,John N. Miksic,Ruth Mostern,Cameron A. Petrie,Peter Rudiak-Gould,Barend J. ter Haar,Vesna Wallace,Victor H. Mair,Liye Xie,John Baines,Elizabeth Page Bridges,Joseph G. Manning,Bruce M. Lockhart,Amy Bogaard,Charles S. Spencer +55 more
TL;DR: A database of historical and archaeological information from 30 regions around the world over the last 10,000 years revealed that characteristics, such as social scale, economy, features of governance, and information systems, show strong evolutionary relationships with each other and that complexity of a society across different world regions can be meaningfully measured using a single principal component of variation.
Journal ArticleDOI
Seshat: The Global History Databank
Peter Turchin,Rob Brennan,Thomas E. Currie,Kevin Feeney,Pieter Francois,Daniel Hoyer,Joseph G. Manning,Arkadiusz Marciniak,Daniel Austin Mullins,Alessio Palmisano,Peter N. Peregrine,Edward Turner,Harvey Whitehouse +12 more
TL;DR: Seshat: The Global History Databank as mentioned in this paper is a large-scale dataset of historical and archaeological information about past human societies that has not been systematically organized and, therefore, remains inaccessible for empirically testing theories about cultural evolution and historical dynamics.
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Mediterranean landscape change during the Holocene: synthesis, comparison and regional trends in population, land cover and climate.
C. Neil Roberts,Jessie Woodbridge,Jessie Woodbridge,Alessio Palmisano,Andrew Bevan,Ralph Fyfe,Stephen Shennan +6 more
TL;DR: In this paper, a comparative perspective on how seven different Mediterranean regions, from Iberia and Morocco to the Levant, have been transformed by human and natural agencies during the last century is presented.
Journal ArticleDOI
Comparing archaeological proxies for long-term population patterns: An example from central Italy
TL;DR: In this article, the authors explore the strengths and weaknesses of different kinds of archaeological evidence for population patterns, as well as how they address related issues such as taphonomic loss, chronological uncertainty and uneven sampling.
Journal ArticleDOI
Long-term trends of land use and demography in Greece: A comparative study
Erika Weiberg,Andrew Bevan,Katerina Kouli,Markos Katsianis,Jessie Woodbridge,Jessie Woodbridge,Anton Bonnier,Max Engel,Martin Finné,Ralph Fyfe,Yannis Maniatis,Alessio Palmisano,Sampson Panajiotidis,C. Neil Roberts,Stephen Shennan +14 more
TL;DR: In this paper, a comparative study of land use and demographic development in northern and southern Greece from the Neolithic to the Byzantine period is presented, where results from summed probability densities (SPD) of archaeological radiocarbon dates and settlement numbers derived from archaeological site surveys are combined with results from cluster-based analysis of published pollen core assemblages.