Renana Peres

3.7k citations
34 papers · 2.5k indexed · 4 hit papers · h-index 19

Renana Peres

30 papers receiving 2.3k citations

Hit Papers

On ChatGPT and...2802010202620152020200400600

Peers

Renana Peres
Comparison fields: 5 of 117
  • Marketing 927
  • Health Informatics 95
  • Management Science and Operations Research 793
  • Information Systems and Management 232
  • Strategy and Management 451
Replace David A. Schweidel with:
David A. Schweidel United States
Maryam Ghasemaghaei Canada
Param Vir Singh United States
Zheng Fang China
Nicholas Berente United States
Baohong Sun United States
Marleen Huysman Netherlands
Peter Buxmann Germany
Gordon Burtch United States
Kuttimani Tamilmani United Kingdom
Renana Peres relative to David A. Schweidel United States David A. Schweidel's profile →
Citations per field
00.5×3.8×
David A. Schweidel · 1×
Citations per year

Countries citing papers authored by Renana Peres

Since Specialization
Citations

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

Fields of papers citing papers by Renana Peres

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20240
3 20246
4 20233
5 20230
6
On ChatGPT and beyond: How generative artificial intelligence may affect research, teaching, and practicebreakdown →
2023280
7 202152
8 20216
9 20191
10 201813
11 201441
12
On Brands and Word of Mouthbreakdown →
2013330
13 2012202
14 201123
15 200950
16 2009112
17 20086
18
BLAZING SADDLES: THE EARLY AND MAINSTREAM MARKETS IN THE HIGH-TECH PRODUCT LIFE CYCLE
200612
19 200558
20 19945

About Renana Peres

Renana Peres is a scholar working on Marketing, Management Science and Operations Research and Health Informatics, having authored 34 papers that have together received 2.5k indexed citations. Recurring topics across this work include Digital Marketing and Social Media (15 papers), Innovation Diffusion and Forecasting (12 papers), Digital Platforms and Economics (8 papers), Consumer Behavior in Brand Consumption and Identification (7 papers), Consumer Market Behavior and Pricing (6 papers), Customer Service Quality and Loyalty (4 papers), Firm Innovation and Growth (4 papers) and Complex Network Analysis Techniques (3 papers). The work is most often cited by research in Marketing (927 citations), Health Informatics (95 citations) and Management Science and Operations Research (793 citations). Renana Peres has collaborated with scholars based in Israel, United States and Austria. Frequent co-authors include Eitan Muller, Vijay Mahajan, Barak Libai, Mitchell J. Lovett, Ron Shachar, David A. Schweidel, Martin Schreier, Alina Sorescu, Daria Dzyabura and Jehoshua Eliashberg. Their work appears in journals such as International Journal of Research in Marketing, Journal of Marketing Research, Journal of Marketing, Marketing Letters and Marketing Science.

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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