Markus Krätzig

1.3k citations
5 papers · 847 · 1 hit paper · h-index 3

Impact in

Papers in

Journals
Computational Statistics & Data Analysis (1 paper)Cambridge University Press eBooks (3 papers)Econstor (Econstor) (1 paper)
Partner nations
GermanyItaly

In The Last Decade

Markus Krätzig

5 papers receiving 732 citations

Markus Krätzig's Hit Papers

Applied Time Series Econometrics 2004 · 824 citations
8240+7+14Years since publication250500750

Peers

Markus Krätzig
Comparison fields: 5 of 95
  • General Economics, Econometrics and Finance 420
  • Finance 264
  • Economics and Econometrics 584
  • Renewable Energy, Sustainability and the Environment 84
  • General Energy 5
Replace Peter S. Sephton with:
Peter S. Sephton Canada
Rocco Mosconi Italy
Byeongseon Seo South Korea
Héctor O. Zapata United States
Robert Sollis United Kingdom
Panayotis G. Michaelides Greece
Nissan Liviatan Israel
Bahram Adrangi United States
Marianne Sensier United Kingdom
Marcelo Reyes Spain
Markus Krätzig relative to Peter S. Sephton Canada Peter S. Sephton's profile →
Citations per field
00.5×1.5×1.9×
Peter S. Sephton · 1×
Citations per year

Countries citing papers authored by Markus Krätzig

Since Specialization
Citations

This map shows the geographic impact of Markus Krätzig's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Markus Krätzig with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Krätzig more than expected).

Fields of papers citing papers by Markus Krätzig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Markus Krätzig. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Markus Krätzig. The network helps show where Markus Krätzig may publish in the future.

Co-authors

The 1 scholars most cited alongside Markus Krätzig, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Markus Krätzig Line = papers co-authored together Markus Krätzig links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown
#Work
1
Applied Time Series Econometrics
Hit paper breakdown →
2004824
2 200413
3 20067
4 20042
5 20051

About Markus Krätzig

Markus Krätzig is a scholar working on Computer Networks and Communications, Finance, Artificial Intelligence, Computational Theory and Mathematics and Atmospheric Science, having authored 5 papers that have together received 847 indexed citations. Recurring topics across this work include Financial Risk and Volatility Modeling (1 paper), Meteorological Phenomena and Simulations (1 paper), Computational Physics and Python Applications (1 paper), Distributed and Parallel Computing Systems (1 paper), Complex Systems and Time Series Analysis (1 paper) and Numerical Methods and Algorithms (1 paper). The work is most often cited by research in General Economics, Econometrics and Finance (420 citations), Finance (264 citations), Economics and Econometrics (584 citations), Renewable Energy, Sustainability and the Environment (84 citations) and General Energy (5 citations). Markus Krätzig has collaborated with scholars based in Germany and Italy. Frequent co-authors include Helmut Lütkepohl. Their work appears in journals such as Computational Statistics & Data Analysis, Cambridge University Press eBooks and Econstor (Econstor).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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