Citation profile for Johannes Huber

Johannes Huber : Citation Profile

Universität Augsburg

H index

i10 index

Citations

RESEARCH PRODUCTION:

Papers

RESEARCH ACTIVITY:

   2 years (2020 - 2022). See details.
   Cites by year: 0
   Journals where Johannes Huber has often published
   Relations with other researchers
   Recent citing documents: 1.    Total self citations: 0 (0 %)

MORE DETAILS IN:

EconPapers Author's homepage

ABOUT THIS REPORT:

   Permalink: http://citec.repec.org/phu596
   Updated: 2023-08-19    RAS profile: 2023-03-16
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Relations with other researchers

Works with:

Fehrle, Daniel (4)

Authors registered in RePEc who have co-authored more than one work in the last five years with Johannes Huber.

Is cited by:

Lores, Francisco (1)

Cites to:

Chari, Varadarajan (5)

McGrattan, Ellen (5)

in 't Veld, Jan (5)

Kehoe, Patrick (5)

Vogel, Lukas (5)

Kollmann, Robert (5)

Ratto, Marco (5)

Brinca, Pedro (3)

Iskrev, Nikolay (3)

Gilchrist, Simon (2)

Klein, Paul (2)

Main data

Where Johannes Huber has published?

Working Papers Series with more than one paper published	# docs
Discussion Paper Series / Universitaet Augsburg, Institute for Economics	3
Working Papers / Bavarian Graduate Program in Economics (BGPE)	2

Recent works citing Johannes Huber (2022 and 2021)

Year	Title of citing document
2021	Accounting for U.S. economic growth 1954–2017. (2021). Lores, Francisco ; del Rio, Fernando. In: Economic Modelling. RePEc:eee:ecmode:v:101:y:2021:i:c:s0264999321001188. Full description at Econpapers \|\| Download paper

Works by Johannes Huber:

Year	Title	Type	Cited
2020	Business cycle accounting for the German fiscal stimulus program during the Great Recession In: Discussion Paper Series. [Full Text][Citation analysis]	paper	1
2020	Business cycle accounting for the German fiscal stimulus program during the Great Recession.(2020) In: Working Papers. [Full Text][Citation analysis] This paper has another version. Agregated cites: 1	paper
2020	Polynomial chaos expansion: Efficient evaluation and estimation of computational models In: Discussion Paper Series. [Full Text][Citation analysis]	paper	0
2020	Polynomial chaos expansion: Efficient evaluation and estimation of computational models.(2020) In: Working Papers. [Full Text][Citation analysis] This paper has another version. Agregated cites: 0	paper
2022	An Augmented Steady-State Kalman Filter to Evaluate the Likelihood of Linear and Time-Invariant State-Space Models In: Discussion Paper Series. [Full Text][Citation analysis]	paper	0