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Michael M. Wolf

20 papers here

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

author position
  • first author1
  • middle author2
  • last author3

Across the 6 of 20 papers where every author was matched, so the position is known.

fields
  • hep-ex10
  • nucl-ex4
  • quant-ph3
  • math-ph2
  • cs.SI1
ORCID 0009-0005-2292-353X
same name
  • Michael M. Wolf — 4 papers, h 4
  • Michael M. Wolf — 1 paper, h 5
  • Michael M. Wolf — 1 paper, h 2
  • Michael M. Wolf — 1 paper, h 9

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
20102017
most citedObservation of sequential Upsilon suppression in PbPb collisions

300 citations · 1.7k across the 20 of their papers we have counts for

collaborators
Showing 2014Show all

3 papers · 1 filter

cs.SI2014★ 2 cited

Spectral Anomaly Detection in Very Large Graphs: Models, Noise, and Computational Complexity

Benjamin A. Miller, Nicholas Arcolano, Michael M. Wolf +1

Anomaly detection in massive networks has numerous theoretical and computational challenges, especially as the behavior to be detected becomes small in comparison to the larger net…

hep-ex2014★ 81 cited

Constraints on parton distribution functions and extraction of the strong coupling constant from the inclusive jet cross section in pp collisions at sqrt(s) = 7 TeV

CMS Collaboration

The inclusive jet cross section for proton-proton collisions at a centre-of-mass energy of 7 TeV was measured by the CMS Collaboration at the LHC with data corresponding to an inte…

hep-ex2014★ 34 cited

Search for standard model production of four top quarks in the lepton + jets channel in pp collisions at sqrt(s) = 8 TeV

CMS Collaboration

A search is presented for standard model (SM) production of four top quarks (t t-bar t t-bar) in pp collisions in the lepton + jets channel. The data correspond to an integrated lu…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.