Zsolt Sándor

1.4k total citations
22 papers, 996 citations indexed

About

Zsolt Sándor is a scholar working on Marketing, Economics and Econometrics and Management Science and Operations Research. According to data from OpenAlex, Zsolt Sándor has authored 22 papers receiving a total of 996 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Marketing, 16 papers in Economics and Econometrics and 9 papers in Management Science and Operations Research. Recurrent topics in Zsolt Sándor's work include Consumer Market Behavior and Pricing (16 papers), Economic and Environmental Valuation (8 papers) and Digital Platforms and Economics (6 papers). Zsolt Sándor is often cited by papers focused on Consumer Market Behavior and Pricing (16 papers), Economic and Environmental Valuation (8 papers) and Digital Platforms and Economics (6 papers). Zsolt Sándor collaborates with scholars based in Netherlands, United States and Romania. Zsolt Sándor's co-authors include Michel Wedel, José L. Moraga‐González, Matthijs R. Wildenbeest, Kenneth Train, Péter András, Alexander Konovalov, Philip Hans Franses, Giovanni Mellace and Amy H. Liu and has published in prestigious journals such as Journal of Marketing Research, Journal of Econometrics and The Review of Economic Studies.

In The Last Decade

Zsolt Sándor

19 papers receiving 908 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zsolt Sándor Netherlands 10 758 403 233 163 127 22 996
Donald A. Anderson United States 13 529 0.7× 207 0.5× 199 0.9× 83 0.5× 214 1.7× 46 968
Vassilis A. Hajivassiliou United States 10 661 0.9× 208 0.5× 107 0.5× 33 0.2× 73 0.6× 17 1.1k
W. M. Gorman United Kingdom 13 1.2k 1.5× 249 0.6× 137 0.6× 158 1.0× 31 0.2× 23 1.4k
Eugene Silberberg United States 12 750 1.0× 118 0.3× 75 0.3× 28 0.2× 28 0.2× 26 1.1k
Stephen Ryan United States 10 637 0.8× 268 0.7× 118 0.5× 12 0.1× 16 0.1× 22 1.0k
Barnett R. Parker United States 13 582 0.8× 71 0.2× 830 3.6× 21 0.1× 62 0.5× 38 1.3k
Ignacio Garcı́a-Jurado Spain 16 493 0.7× 45 0.1× 499 2.1× 12 0.1× 74 0.6× 72 829
Federico Ciliberto United States 15 489 0.6× 261 0.6× 143 0.6× 17 0.1× 32 0.3× 34 916
Cliff J. Huang United States 19 885 1.2× 67 0.2× 465 2.0× 25 0.2× 23 0.2× 50 1.5k
N. Scott Cardell United States 9 394 0.5× 273 0.7× 61 0.3× 19 0.1× 78 0.6× 23 636

Countries citing papers authored by Zsolt Sándor

Since Specialization
Citations

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

Fields of papers citing papers by Zsolt Sándor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zsolt Sándor

This figure shows the co-authorship network connecting the top 25 collaborators of Zsolt Sándor. A scholar is included among the top collaborators of Zsolt Sándor 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 Zsolt Sándor. Zsolt Sándor 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
1.
Sándor, Zsolt, et al.. (2024). The impact of brand equity on profit premium in an equilibrium framework. Marketing Letters. 35(3). 423–438. 1 indexed citations
2.
Sándor, Zsolt, et al.. (2023). Comparing procedures for estimating random coefficient logit demand models with a special focus on obtaining global optima. International Journal of Industrial Organization. 88. 102950–102950.
3.
Sándor, Zsolt, et al.. (2023). Comparing Procedures for Estimating Random Coefficient Logit Demand Models with a Special Focus on Obtaining Global Optima. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
4.
Liu, Amy H., et al.. (2023). The income effects of minority co-ethnic employment: the case of Hungarians in central and Eastern Europe. Journal of Ethnic and Migration Studies. 50(16). 4192–4214. 1 indexed citations
5.
Moraga‐González, José L., Zsolt Sándor, & Matthijs R. Wildenbeest. (2022). Consumer Search and Prices in the Automobile Market. The Review of Economic Studies. 90(3). 1394–1440.
6.
Mellace, Giovanni, et al.. (2020). INFERENCE IN INSTRUMENTAL VARIABLE MODELS WITH HETEROSKEDASTICITY AND MANY INSTRUMENTS. Econometric Theory. 37(2). 281–310. 9 indexed citations
7.
Moraga‐González, José L., Zsolt Sándor, & Matthijs R. Wildenbeest. (2017). Prices and heterogeneous search costs. The RAND Journal of Economics. 48(1). 125–146. 38 indexed citations
8.
Moraga‐González, José L., Zsolt Sándor, & Matthijs R. Wildenbeest. (2016). Nonsequential search equilibrium with search cost heterogeneity. International Journal of Industrial Organization. 50. 392–414. 12 indexed citations
9.
Moraga‐González, José L., Zsolt Sándor, & Matthijs R. Wildenbeest. (2015). Consumer Search and Prices in the Automobile Market. SSRN Electronic Journal. 43 indexed citations
10.
Moraga‐González, José L., Zsolt Sándor, & Matthijs R. Wildenbeest. (2014). Prices, Product Differentiation, and Heterogeneous Search Costs. SSRN Electronic Journal. 2 indexed citations
11.
Moraga‐González, José L., Zsolt Sándor, & Matthijs R. Wildenbeest. (2012). SEMI‐NONPARAMETRIC ESTIMATION OF CONSUMER SEARCH COSTS. Journal of Applied Econometrics. 28(7). 1205–1223. 36 indexed citations
12.
Konovalov, Alexander & Zsolt Sándor. (2009). On price equilibrium with multi-product firms. Economic Theory. 44(2). 271–292. 21 indexed citations
13.
Sándor, Zsolt & Philip Hans Franses. (2009). Consumer price evaluations through choice experiments. Journal of Applied Econometrics. 24(3). 517–535. 8 indexed citations
14.
Sándor, Zsolt & Philip Hans Franses. (2004). Experimental investigation of consumer price evaluations. Data Archiving and Networked Services (DANS). 1 indexed citations
15.
Sándor, Zsolt & Michel Wedel. (2003). Differentiated Bayesian Conjoint Choice Designs. Journal of Marketing Research. 55. 210–218. 5 indexed citations
16.
Sándor, Zsolt & Kenneth Train. (2003). Quasi-random simulation of discrete choice models. Transportation Research Part B Methodological. 38(4). 313–327. 74 indexed citations
17.
Sándor, Zsolt & Péter András. (2003). Alternative sampling methods for estimating multivariate normal probabilities. Journal of Econometrics. 120(2). 207–234. 50 indexed citations
18.
Sándor, Zsolt & Michel Wedel. (2002). Profile Construction in Experimental Choice Designs for Mixed Logit Models. Marketing Science. 21(4). 455–475. 171 indexed citations
19.
Sándor, Zsolt. (2001). Computation, efficiency and endogeneity in discrete choice models. Data Archiving and Networked Services (DANS). 347(4). 290–2; author reply 290. 3 indexed citations
20.
Sándor, Zsolt & Michel Wedel. (2001). Designing Conjoint Choice Experiments Using Managers' Prior Beliefs. Journal of Marketing Research. 38(4). 430–444. 361 indexed citations

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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