Vijay K. Chopra

1.6k total citations · 1 hit paper
6 papers, 969 citations indexed

About

Vijay K. Chopra is a scholar working on Finance, General Economics, Econometrics and Finance and Economics and Econometrics. According to data from OpenAlex, Vijay K. Chopra has authored 6 papers receiving a total of 969 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Finance, 2 papers in General Economics, Econometrics and Finance and 2 papers in Economics and Econometrics. Recurrent topics in Vijay K. Chopra's work include Financial Markets and Investment Strategies (3 papers), Monetary Policy and Economic Impact (2 papers) and Financial Reporting and Valuation Research (1 paper). Vijay K. Chopra is often cited by papers focused on Financial Markets and Investment Strategies (3 papers), Monetary Policy and Economic Impact (2 papers) and Financial Reporting and Valuation Research (1 paper). Vijay K. Chopra collaborates with scholars based in United States, India and Canada. Vijay K. Chopra's co-authors include William T. Ziemba, Andrew L. Turner, Chris R. Hensel, Patricia Lin and Uday Jadhav and has published in prestigious journals such as Management Science, Financial Analysts Journal and The Journal of Portfolio Management.

In The Last Decade

Vijay K. Chopra

4 papers receiving 848 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The Effect of Errors in Means, Variances, and Covariances on Optimal Portfolio Choice

1993 769 citations Vijay K. Chopra, William T. Ziemba The Journal of Portfolio Management profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Vijay K. Chopra United States	4	792	501	368	165	148	6	969
Alexandre M. Baptista United States	15	771 1.0×	575 1.1×	447 1.2×	102 0.6×	104 0.7×	47	1.0k
Frank A. Sortino United States	10	1.0k 1.3×	488 1.0×	716 1.9×	150 0.9×	277 1.9×	10	1.4k
Robert R. Grauer Canada	19	1.4k 1.8×	702 1.4×	728 2.0×	360 2.2×	244 1.6×	40	1.7k
Attilio Meucci United States	13	684 0.9×	357 0.7×	376 1.0×	122 0.7×	39 0.3×	47	897
Winfried G. Hallerbach Netherlands	12	431 0.5×	329 0.7×	265 0.7×	59 0.4×	91 0.6×	36	687
Ganlin Xu United States	11	719 0.9×	429 0.9×	458 1.2×	103 0.6×	83 0.6×	28	920
Sergio Ortobelli Lozza Italy	15	712 0.9×	639 1.3×	377 1.0×	91 0.6×	47 0.3×	101	958
Martin B. Haugh United States	13	499 0.6×	229 0.5×	265 0.7×	69 0.4×	117 0.8×	41	815
Howard E. Thompson United States	14	422 0.5×	165 0.3×	306 0.8×	90 0.5×	85 0.6×	57	708
Jérôme Teïletche France	8	613 0.8×	294 0.6×	361 1.0×	134 0.8×	83 0.6×	35	728

Countries citing papers authored by Vijay K. Chopra

Since Specialization

Citations

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

Fields of papers citing papers by Vijay K. Chopra

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vijay K. Chopra. 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 Vijay K. Chopra. The network helps show where Vijay K. Chopra may publish in the future.

Co-authorship network of co-authors of Vijay K. Chopra

This figure shows the co-authorship network connecting the top 25 collaborators of Vijay K. Chopra. A scholar is included among the top collaborators of Vijay K. Chopra 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 Vijay K. Chopra. Vijay K. Chopra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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6 of 6 papers shown

1.

Chopra, Vijay K., et al.. (2026). Expert Opinion on the Potential Role of Angiotensin Receptor-neprilysin Inhibitors in Managing Hypertension. Journal of Indian College of Cardiology. 16(1). 8–15.

2.

Chopra, Vijay K.. (1998). Why So Much Error in Analysts' Earnings Forecasts?. Financial Analysts Journal. 54(6). 35–42. 87 indexed citations

3.

Chopra, Vijay K. & Patricia Lin. (1996). Improving Financial Forecasting. The Journal of Portfolio Management. 22(3). 97–105.

4.

Chopra, Vijay K.. (1993). Improving Optimization. The Journal of Investing. 2(3). 51–59. 55 indexed citations

5.

Chopra, Vijay K., Chris R. Hensel, & Andrew L. Turner. (1993). Massaging Mean-Variance Inputs: Returns from Alternative Global Investment Strategies in the 1980s. Management Science. 39(7). 845–855. 58 indexed citations

6.

Chopra, Vijay K. & William T. Ziemba. (1993). The Effect of Errors in Means, Variances, and Covariances on Optimal Portfolio Choice. The Journal of Portfolio Management. 19(2). 6–11. 769 indexed citations breakdown →

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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