E. Koenig

3.0k citations
57 papers · 591 · h-index 12

Impact in

Papers in

E. Koenig

49 papers receiving 498 citations

Peers

E. Koenig
Comparison fields: 5 of 49
  • General Economics, Econometrics and Finance 411
  • Economics and Econometrics 457
  • Finance 130
  • Management Science and Operations Research 64
  • Accounting 32
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Alessandro Girardi Italy
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Citations per year

Countries citing papers authored by E. Koenig

Since Specialization
Citations

This map shows the geographic impact of E. Koenig'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 E. Koenig with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. Koenig more than expected).

Fields of papers citing papers by E. Koenig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E. Koenig. 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 E. Koenig. The network helps show where E. Koenig may publish in the future.

Co-authors

The 16 scholars most cited alongside E. Koenig, 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 E. Koenig Line = papers co-authored together E. Koenig links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003155
2 201053
3
Using the Purchasing Managers' Index to Assess the Economy's Strength and the Likely Direction of Monetary Policy
200244
4 198429
5 199026
6 198522
7 202020
8
Like a Good Neighbor: Monetary Policy, Financial Stability, and the Distribution of Risk
201814
9
Capacity utilization as a real-time predictor of manufacturing output
199613
10 199212
11 199612
12 198412
13 201910
14
All in the family: the close connection between nominal-GDP targeting and the Taylor Rule
201210
15
Misleading indicators? Using the composite leading indicators to predict cyclical turning points
19919
16
Rethinking the IS in IS-LM: Adapting Keynesian Tools to Non-Keynesian Economies
19939
17 20009
18 20149
19 20118
20 20107

About E. Koenig

E. Koenig is a scholar working on General Economics, Econometrics and Finance, Economics and Econometrics, Finance, Management Science and Operations Research and Accounting, having authored 57 papers that have together received 591 indexed citations. Recurring topics across this work include Monetary Policy and Economic Impact (35 papers), Economic Theory and Policy (21 papers), Economic theories and models (13 papers), Fiscal Policy and Economic Growth (7 papers), Global Financial Crisis and Policies (7 papers), Market Dynamics and Volatility (7 papers), Climate Change Policy and Economics (5 papers) and Housing Market and Economics (3 papers). The work is most often cited by research in General Economics, Econometrics and Finance (411 citations), Economics and Econometrics (457 citations), Finance (130 citations), Management Science and Operations Research (64 citations) and Accounting (32 citations). E. Koenig has collaborated with scholars based in United States and South Africa. Frequent co-authors include Jeremy Piger, N. Kundan Kishor, Jim Dolmas, Alex Nikolsko‐Rzhevskyy, Gregory W. Huffman, Mark A. Wynne, Thomas F. Siems, Thomas B. Fomby, Karel Mertens and Christoffer Koch. Their work appears in journals such as Economics Letters, The Quarterly Journal of Economics, Journal of money credit and banking, Journal of Economics and Business and Economic Inquiry.

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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