Jack H.W. Penm

616 citations
39 papers · 329 indexed · h-index 10

Jack H.W. Penm

30 papers receiving 287 citations

Peers

Jack H.W. Penm
Comparison fields: 5 of 46
  • Finance 191
  • Economics and Econometrics 183
  • General Economics, Econometrics and Finance 116
  • Accounting 79
  • Management Science and Operations Research 48
Replace R. Deane Terrell with:
R. Deane Terrell Australia
Serge Darolles France
Georgios Skoulakis United States
H. Gifford Fong United States
Cornelis A. Los United States
Julia Schaumburg Netherlands
Gaëlle Le Fol France
Antoine Frachot France
Kevin Q. Wang Canada
Tassos Magdalinos United Kingdom
Jack H.W. Penm relative to R. Deane Terrell Australia R. Deane Terrell's profile →
Citations per field
00.5×1.5×2.5×
R. Deane Terrell · 1×
Citations per year

Countries citing papers authored by Jack H.W. Penm

Since Specialization
Citations

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

Fields of papers citing papers by Jack H.W. Penm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jack H.W. Penm. 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 Jack H.W. Penm. The network helps show where Jack H.W. Penm may publish in the future.

Co-authorship network of co-authors of Jack H.W. Penm

This figure shows the co-authorship network connecting the top 25 collaborators of Jack H.W. Penm. A scholar is included among the top collaborators of Jack H.W. Penm 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 Jack H.W. Penm. Jack H.W. Penm 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
#WorkIndexed citations
1
The Equivalence of Causality Detection in VAR and VECM Modeling with Applications to Exchange Rates
0
2
High-dimensional ARMA model identification and its application to healthcare picture smoothing using a forgetting factor
0
3 3
4 2
5 9
6 8
7 29
8 0
9 0
10 0
11 6
12 4
13
The Adjustment of the Yule-Walker Relations in VAR Modelling: The Impact of the Euro on the Hong Kong Stock Market
3
14 6
15 16
16 9
17 5
18 2
19 14
20 32

About Jack H.W. Penm

Jack H.W. Penm is a scholar working on General Economics, Econometrics and Finance, Finance and Management Science and Operations Research, having authored 39 papers that have together received 329 indexed citations. Recurring topics across this work include Monetary Policy and Economic Impact (16 papers), Market Dynamics and Volatility (9 papers) and Global Financial Crisis and Policies (7 papers). The work is most often cited by research in Finance (191 citations), General Economics, Econometrics and Finance (116 citations) and Accounting (79 citations). Jack H.W. Penm has collaborated with scholars based in Australia, Taiwan and Singapore. Frequent co-authors include R. Deane Terrell, Wing‐Keung Wong, Tim Brailsford, Namwon Hyung, Philip Hans Franses, Terence J. O’Neill, C. D. Lai, Soushan Wu, Jonathan Penm and Jason C.H. Chen. Their work appears in journals such as IEEE Transactions on Automatic Control, Journal of Business and Economic Statistics and Journal of Applied Probability.

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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