Alicia Gazely

566 citations
13 papers · 271 indexed · h-index 7

Alicia Gazely

12 papers receiving 246 citations

Peers

Alicia Gazely
Comparison fields: 5 of 52
  • Management Science and Operations Research 110
  • General Economics, Econometrics and Finance 62
  • Accounting 46
  • Management Information Systems 33
  • Economics and Econometrics 98
Replace Prateek Sharma with:
Prateek Sharma India
Maoguo Wu China
Vai Io Lo Australia
Amin H. Amershi Canada
Muhammad Kashif Pakistan
Feifei Li United States
Samit Paul India
Thanos Verousis United Kingdom
Carlos León Colombia
Daniel Broby United Kingdom
Alicia Gazely relative to Prateek Sharma India Prateek Sharma's profile →
Citations per field
00.5×5.5×
Prateek Sharma · 1×
Citations per year

Countries citing papers authored by Alicia Gazely

Since Specialization
Citations

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

Fields of papers citing papers by Alicia Gazely

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 5 scholars most cited alongside Alicia Gazely, 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 Alicia Gazely Line = papers co-authored together Alicia Gazely links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 201011
2 20092
3 200821
4 20081
5
Management Accounting Ed. 1
20060
6 2006132
7 200562
8 200415
9 200211
10 20012
11 200011
12 19992
13 19981

About Alicia Gazely

Alicia Gazely is a scholar working on General Economics, Econometrics and Finance, Management Science and Operations Research, Economics and Econometrics, Artificial Intelligence and Infectious Diseases, having authored 13 papers that have together received 271 indexed citations. Recurring topics across this work include Monetary Policy and Economic Impact (8 papers), Stock Market Forecasting Methods (8 papers), Market Dynamics and Volatility (6 papers), Neural Networks and Applications (3 papers), Complex Systems and Time Series Analysis (3 papers), Italy: Economic History and Contemporary Issues (2 papers) and Forecasting Techniques and Applications (1 paper). The work is most often cited by research in Management Science and Operations Research (110 citations), General Economics, Econometrics and Finance (62 citations), Accounting (46 citations), Management Information Systems (33 citations) and Economics and Econometrics (98 citations). Alicia Gazely has collaborated with scholars based in United Kingdom, Sweden and Mauritius. Frequent co-authors include Jane M. Binner, Andrew W. Mullineux, Shu‐Heng Chen, Muddun Bhuruth and Graham Kendall. Their work appears in journals such as Scottish Journal of Political Economy, Contemporary Economic Policy, European Journal of Finance, Applied Economics and International Journal of Automation and Computing.

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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