Jane M. Binner

1.3k citations
70 papers · 710 · h-index 16

Impact in

Papers in

Jane M. Binner

63 papers receiving 634 citations

Peers

Jane M. Binner
Comparison fields: 5 of 97
  • General Economics, Econometrics and Finance 256
  • Finance 174
  • Economics and Econometrics 398
  • Management Science and Operations Research 153
  • Accounting 90
Replace Richard G. Anderson with:
Richard G. Anderson United States
Chung-ki Min South Korea
Constantin Gurdgiev United States
Pedro Tedde de Lorca Spain
Štefan Lyócsa Slovakia
Andrea Teglio Italy
John Fry United Kingdom
Luca Papi Italy
Paolo Giordani Italy
Christos Ioannidis United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Jane M. Binner

Since Specialization
Citations

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

Fields of papers citing papers by Jane M. Binner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jane M. Binner. 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 Jane M. Binner. The network helps show where Jane M. Binner may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200575
2 200562
3 201539
4 201034
5
Money, measurement and computation
200628
6 201927
7
Divisia monetary aggregates : theory and practice
200025
8 200125
9 200823
10 200621
11 200821
12 200519
13 200819
14 201017
15 200416
16 200415
17 201014
18 200913
19 200712
20 200012

About Jane M. Binner

Jane M. Binner is a scholar working on Economics and Econometrics, General Economics, Econometrics and Finance, Management Science and Operations Research, Finance and Artificial Intelligence, having authored 70 papers that have together received 710 indexed citations. Recurring topics across this work include Monetary Policy and Economic Impact (34 papers), Market Dynamics and Volatility (17 papers), Stock Market Forecasting Methods (14 papers), Economic theories and models (10 papers), Complex Systems and Time Series Analysis (10 papers), Sentiment Analysis and Opinion Mining (6 papers), Economic Theory and Policy (6 papers) and Economic, financial, and policy analysis (6 papers). The work is most often cited by research in General Economics, Econometrics and Finance (256 citations), Finance (174 citations), Economics and Econometrics (398 citations), Management Science and Operations Research (153 citations) and Accounting (90 citations). Jane M. Binner has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Andy Mullineux, Michael T. Belongia, Alicia Gazely, Andrew W. Mullineux, Barry E. Jones, Viktor Pekar, Jonathan Tepper, Shu‐Heng Chen, Monica Giulietti and William A. Barnett. Their work appears in journals such as European Journal of Finance, Journal of International Money and Finance, Economics Letters, Journal of the Operational Research Society and Macroeconomic Dynamics.

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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