Johannes Huber : Citation Profile


Are you Johannes Huber?

Universität Augsburg

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H index

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i10 index

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Citations

RESEARCH PRODUCTION:

5

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:
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 Economics3
Working Papers / Bavarian Graduate Program in Economics (BGPE)2

Recent works citing Johannes Huber (2022 and 2021)


YearTitle of citing document
2021Accounting 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:


YearTitleTypeCited
2020Business cycle accounting for the German fiscal stimulus program during the Great Recession In: Discussion Paper Series.
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paper1
2020Business 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
2020Polynomial chaos expansion: Efficient evaluation and estimation of computational models In: Discussion Paper Series.
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paper0
2020Polynomial 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
2022An 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]
paper0

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