Yaniv Dover

1.6k total citations · 1 hit paper
27 papers, 1.1k citations indexed

About

Yaniv Dover is a scholar working on Sociology and Political Science, Statistical and Nonlinear Physics and Management Science and Operations Research. According to data from OpenAlex, Yaniv Dover has authored 27 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Sociology and Political Science, 7 papers in Statistical and Nonlinear Physics and 7 papers in Management Science and Operations Research. Recurrent topics in Yaniv Dover's work include Digital Marketing and Social Media (13 papers), Complex Network Analysis Techniques (7 papers) and Innovation Diffusion and Forecasting (5 papers). Yaniv Dover is often cited by papers focused on Digital Marketing and Social Media (13 papers), Complex Network Analysis Techniques (7 papers) and Innovation Diffusion and Forecasting (5 papers). Yaniv Dover collaborates with scholars based in Israel, United States and Singapore. Yaniv Dover's co-authors include Judith A. Chevalier, Dina Mayzlin, Jacob Goldenberg, Daniel Shapira, I. Balberg, Andrew T. Stephen, Leif Brandes, V. Chu, J. P. Conde and Davide Proserpio and has published in prestigious journals such as PLoS ONE, American Economic Review and Physical Review B.

In The Last Decade

Yaniv Dover

25 papers receiving 1.0k 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.

Promotional Reviews: An Empirical Investigation of Online Review Manipulation

2014 603 citations Dina Mayzlin, Yaniv Dover et al. American Economic Review profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yaniv Dover Israel	10	697	414	164	154	136	27	1.1k
Sangkil Moon United States	17	539 0.8×	544 1.3×	124 0.8×	96 0.6×	83 0.6×	38	1.1k
Gal Oestreicher-Singer Israel	16	664 1.0×	470 1.1×	66 0.4×	166 1.1×	121 0.9×	46	1.2k
Shyam Gopinath United States	7	879 1.3×	654 1.6×	146 0.9×	131 0.9×	35 0.3×	12	1.1k
Sriram Venkataraman United States	10	761 1.1×	625 1.5×	116 0.7×	133 0.9×	34 0.3×	18	1.2k
Eric M. Schwartz United States	9	528 0.8×	515 1.2×	120 0.7×	207 1.3×	44 0.3×	21	932
Jonathan Z. Zhang United States	15	463 0.7×	529 1.3×	76 0.5×	84 0.5×	45 0.3×	22	991
Shiu‐Li Huang Taiwan	16	366 0.5×	220 0.5×	139 0.8×	78 0.5×	134 1.0×	39	765
Hans Risselada Netherlands	11	612 0.9×	469 1.1×	94 0.6×	72 0.5×	59 0.4×	16	978

Countries citing papers authored by Yaniv Dover

Since Specialization

Citations

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

Fields of papers citing papers by Yaniv Dover

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaniv Dover

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

All Works

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20 of 20 papers shown

1.

Dover, Yaniv, et al.. (2024). Gender rating gap in online reviews. Nature Human Behaviour. 9(3). 507–520. 2 indexed citations

2.

Proserpio, Davide, et al.. (2024). Online reviews: A literature review and roadmap for future research. International Journal of Research in Marketing. 42(2). 275–297. 9 indexed citations

3.

Efrat‐Treister, Dorit, Shaul Oreg, & Yaniv Dover. (2024). The relationships between affect dimensions and level of construal. European Journal of Social Psychology. 54(3). 715–729.

4.

Proserpio, Davide, et al.. (2023). Online Reviews: A Literature Review and Roadmap for Future Research. SSRN Electronic Journal. 2 indexed citations

5.

Dover, Yaniv & Yair Amichai‐Hamburger. (2023). Characteristics of online user-generated text predict the emotional intelligence of individuals. Scientific Reports. 13(1). 6778–6778. 5 indexed citations

6.

Schoenmueller, Verena, et al.. (2023). The Dynamic Potential of Online Reviews: Review Updates and Platform Solicitations. SSRN Electronic Journal. 1 indexed citations

7.

Brandes, Leif & Yaniv Dover. (2022). Offline Context Affects Online Reviews: The Effect of Post-Consumption Weather. Journal of Consumer Research. 49(4). 595–615. 16 indexed citations

8.

Dover, Yaniv & Guy Kelman. (2018). Emergence of online communities: Empirical evidence and theory. PLoS ONE. 13(11). e0205167–e0205167. 6 indexed citations

9.

Dover, Yaniv & Guy Kelman. (2018). Centralized nucleation in online networks leads to high social inequality. Applied Network Science. 3(1). 43–43. 1 indexed citations

10.

Dover, Yaniv & Guy Kelman. (2017). Emergence of Online Communities: Empirical Evidence and Theory. SSRN Electronic Journal.

11.

Dover, Yaniv & Scott Neslin. (2015). Amplifying the Impact of Digital Advertising: The Role of Published Sales Rankings. SSRN Electronic Journal. 2 indexed citations

12.

Mayzlin, Dina, Yaniv Dover, & Judith A. Chevalier. (2014). Promotional Reviews: An Empirical Investigation of Online Review Manipulation. American Economic Review. 104(8). 2421–2455. 603 indexed citations breakdown →

13.

Dover, Yaniv, Jacob Goldenberg, & Daniel Shapira. (2012). Network Traces on Penetration: Uncovering Degree Distribution from Adoption Data. SSRN Electronic Journal. 1 indexed citations

14.

Dover, Yaniv, Jacob Goldenberg, & Daniel Shapira. (2012). Network Traces on Penetration: Uncovering Degree Distribution from Adoption Data. Marketing Science. 31(4). 689–712. 37 indexed citations

15.

Balberg, I., Yaniv Dover, E. Savir, & Palle von Huth. (2010). Basic physics of phototransport as manifested in thin films of In-doped CdTe. Physical Review B. 82(20). 5 indexed citations

16.

Stephen, Andrew T., Yaniv Dover, & Jacob Goldenberg. (2010). Social Sharing By Social Pumps: The Effect of Transmitter Activity on Information Diffusion Over Online Social Networks. D-Scholarship@Pitt (University of Pittsburgh). 1 indexed citations

17.

Dover, Yaniv, et al.. (2009). Do all economies grow equally fast?. 1(3). 171–185. 5 indexed citations

18.

Balberg, I., E. Savir, Yaniv Dover, et al.. (2007). Meyer-Neldel-like manifestation of the quantum confinement effect in solid ensembles of semiconductor quantum dots. Physical Review B. 75(15). 12 indexed citations

19.

Balberg, I., et al.. (2004). State distribution in hydrogenated microcrystalline silicon. Physical Review B. 69(3). 28 indexed citations

20.

Dover, Yaniv. (2003). A short account of a connection of power laws to the information entropy. Physica A Statistical Mechanics and its Applications. 334(3-4). 591–599. 14 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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