G. C. Lim

1.5k citations
95 papers · 953 · h-index 15

Impact in

Papers in

G. C. Lim

89 papers receiving 861 citations

Peers

G. C. Lim
Comparison fields: 5 of 97
  • General Economics, Econometrics and Finance 401
  • Finance 297
  • Economics and Econometrics 625
  • Accounting 95
  • Management Science and Operations Research 57
Replace Venus Khim‐Sen Liew with:
Venus Khim‐Sen Liew Malaysia
Carolin Pflueger United States
Stephen Terry United States
Boriss Siliverstovs Switzerland
Tania Treibich Italy
In-Moo Kim South Korea
Marek Rusnák Czechia
Tilak Abeysinghe Singapore
Omar Licandro Italy
Carlo V. Fiorio Italy
G. C. Lim relative to Venus Khim‐Sen Liew Malaysia Venus Khim‐Sen Liew's profile →
Citations per field
00.5×1.5×
Venus Khim‐Sen Liew · 1×
Citations per year

Countries citing papers authored by G. C. Lim

Since Specialization
Citations

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

Fields of papers citing papers by G. C. Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. C. Lim. 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 G. C. Lim. The network helps show where G. C. Lim may publish in the future.

Co-authors

The 25 scholars most cited alongside G. C. Lim, 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 G. C. Lim Line = papers co-authored together G. C. Lim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Principles of Econometrics
2007217
2 200149
3 201745
4 201643
5 201638
6
Using EViews for Principles of Econometrics
200827
7 199726
8 202125
9 200424
10
Computational Macroeconomics for the Open Economy
200822
11 200621
12 201420
13 199514
14 201414
15 200314
16 201314
17 201913
18 200413
19 199812
20 200512

About G. C. Lim

G. C. Lim is a scholar working on Economics and Econometrics, General Economics, Econometrics and Finance, Finance, Accounting and Management Science and Operations Research, having authored 95 papers that have together received 953 indexed citations. Recurring topics across this work include Monetary Policy and Economic Impact (46 papers), Economic Theory and Policy (22 papers), Fiscal Policy and Economic Growth (20 papers), Global Financial Crisis and Policies (13 papers), Housing Market and Economics (11 papers), Labor market dynamics and wage inequality (11 papers), Economic theories and models (10 papers) and Fiscal Policies and Political Economy (8 papers). The work is most often cited by research in General Economics, Econometrics and Finance (401 citations), Finance (297 citations), Economics and Econometrics (625 citations), Accounting (95 citations) and Management Science and Operations Research (57 citations). G. C. Lim has collaborated with scholars based in Australia, United States and Netherlands. Frequent co-authors include William E. Griffiths, R. Carter Hill, Paul D. McNelis, Robert Dixon, Vance L. Martin, Efrem Castelnuovo, Jan C. van Ours, Giovanni Pellegrino, Viet Hoang Nguyen and Gael M. Martin. Their work appears in journals such as Empirical Economics, Journal of International Money and Finance, Macroeconomic Dynamics, Economic Modelling and Journal of Multinational Financial Management.

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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