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T. D. Matteo

49 papers hereh-index 5015.4k citations265 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • first author8
  • middle author20
  • last author13

Across the 42 of 49 papers where every author was matched, so the position is known.

fields
  • astro-ph12
  • cond-mat.stat-mech7
  • astro-ph.CO5
  • astro-ph.GA5
  • physics.soc-ph4
  • cond-mat2
same name
  • T. D. Matteo — 12 papers, h 9
  • T. D. Matteo — 2 papers, h 15

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
19992022
most citedA tool for filtering information in complex systems

922 citations · 2.9k across the 22 of their papers we have counts for

collaborators
Showing 2017Show all

4 papers · 1 filter

astro-ph.GA2017★ 38 cited

Dust Obscured Star Forming Galaxies in the Early Universe

Stephen M. Wilkins, Yu Feng, Tiziana Di Matteo +3

Motivated by recent observational constraints on dust reprocessed emission in star forming galaxies at z∼6 and above we use the very-large cosmological hydrodynamical simulat…

astro-ph.GA2017★ 39 cited

The descendants of the first quasars in the BlueTides simulation

Ananth Tenneti, Tiziana Di Matteo, Rupert Croft +2

Supermassive blackholes with masses of a billion solar masses or more are known to exist up to z=7. However, the present-day environments of the descendants of first quasars is n…

astro-ph.CO2017★ 21 cited

The clustering of z>7 galaxies: Predictions from the BLUETIDES simulation

Aklant Kumar Bhowmick, Tiziana Di Matteo, Yu Feng +1

We study the clustering of the highest-z galaxies (from ~ 0.1 to a few tens Mpc scales) using the BLUETIDES simulation and compare it to current observational constraints from Hu…

stat.ME2017★ 1 cited

Sparse causality network retrieval from short time series

Tomaso Aste, T. Di Matteo

We investigate how efficiently a known underlying sparse causality structure of a simulated multivariate linear process can be retrieved from the analysis of time-series of short l…

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