Howard Kung

2.0k total citations · 1 hit paper
39 papers, 1.1k citations indexed

About

Howard Kung is a scholar working on Economics and Econometrics, General Economics, Econometrics and Finance and Finance. According to data from OpenAlex, Howard Kung has authored 39 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Economics and Econometrics, 23 papers in General Economics, Econometrics and Finance and 20 papers in Finance. Recurrent topics in Howard Kung's work include Monetary Policy and Economic Impact (22 papers), Financial Markets and Investment Strategies (13 papers) and Economic theories and models (8 papers). Howard Kung is often cited by papers focused on Monetary Policy and Economic Impact (22 papers), Financial Markets and Investment Strategies (13 papers) and Economic theories and models (8 papers). Howard Kung collaborates with scholars based in United Kingdom, United States and Canada. Howard Kung's co-authors include Hyunseob Kim, Lukas Schmid, Francesco Bianchi, Mariano Massimiliano Croce, Thien Tung Nguyen, Kewei Hou, Lu Zhang, Erica X. N. Li, Jawad M. Addoum and Eric M. Aldrich and has published in prestigious journals such as The Journal of Finance, Journal of Financial Economics and Review of Financial Studies.

In The Last Decade

Howard Kung

33 papers receiving 1.1k citations

Hit Papers

The Asset Redeployability Channel: How Uncertainty Affect... 2016 2026 2019 2022 2016 100 200 300 400

Peers

Howard Kung
Comparison fields: 5 of 49
  • Economics and Econometrics 800
  • Finance 511
  • Accounting 390
  • General Economics, Econometrics and Finance 370
  • Strategy and Management 152
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Citations per field, relative to Howard Kung
Howard Kung · 1×
Citations per year, relative to Howard Kung
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Countries citing papers authored by Howard Kung

Since Specialization
Citations

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

Fields of papers citing papers by Howard Kung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Howard Kung

This figure shows the co-authorship network connecting the top 25 collaborators of Howard Kung. A scholar is included among the top collaborators of Howard Kung based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Howard Kung. Howard Kung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 0
3 1
4 2
5 4
6 33
7 0
8 38
9 3
10
Slow recoveries through fiscal austerity: New insights in the effects of fiscal austerity
3
11 80
12 50
13 0
14 10
15 209
16 3
17
Asset Specificity, Economic Uncertainty, and Corporate Investment
1
18 2
19 3
20 2

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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