Ganesh Iyer
- Marketing top 0.5%
- Strategy and Management top 1%
- Management Information Systems top 0.5%
- Economics and Econometrics top 2%
- Management Science and Operations Research top 1%
- Co-authors
- David SobermanJ. Miguel Villas‐BoasYuxin ChenMarkus ChristenLiang GuoAmit PazgalVineet PadmanabhanZsolt Katona
- Topics
- Consumer Market Behavior and Pricing (23 papers)Merger and Competition Analysis (14 papers)Experimental Behavioral Economics Studies (13 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of MarketingManagement Science
- Partner nations
- United StatesCanadaHong Kong
In The Last Decade
Ganesh Iyer
51 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Marketing 1.6k
- Strategy and Management 1.2k
- Management Information Systems 746
- Economics and Econometrics 663
- Management Science and Operations Research 653
Countries citing papers authored by Ganesh Iyer
This map shows the geographic impact of Ganesh Iyer'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 Ganesh Iyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ganesh Iyer more than expected).
Fields of papers citing papers by Ganesh Iyer
This network shows the impact of papers produced by Ganesh Iyer. 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 Ganesh Iyer. The network helps show where Ganesh Iyer may publish in the future.
Co-authorship network of co-authors of Ganesh Iyer
This figure shows the co-authorship network connecting the top 25 collaborators of Ganesh Iyer. A scholar is included among the top collaborators of Ganesh Iyer 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 Ganesh Iyer. Ganesh Iyer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | ConceptFusion: Open-set multimodal 3D mappingbreakdown → | 100 |
| 2 | 1 | |
| 3 | 14 | |
| 4 | 4 | |
| 5 | 9 | |
| 6 | 4 | |
| 7 | 32 | |
| 8 | 100 | |
| 9 | Research Opportunities in Emerging Markets: An Inter-Disciplinary Perspective from Marketing, Economics, and Psychology | 1 |
| 10 | Multilateral Bargaining and Downstream Competition | 1 |
| 11 | 28 | |
| 12 | Planned and Actual Betting in Sequential Gambles | 1 |
| 13 | Negative Advertising and Voter Choice | 10 |
| 14 | 146 | |
| 15 | 6 | |
| 16 | 377 | |
| 17 | 301 | |
| 18 | 17 | |
| 19 | 94 | |
| 20 | 57 |
About Ganesh Iyer
Ganesh Iyer is a scholar working on Marketing, General Decision Sciences and Safety Research, having authored 58 papers that have together received 2.8k indexed citations. Recurring topics across this work include Consumer Market Behavior and Pricing (23 papers), Merger and Competition Analysis (14 papers) and Experimental Behavioral Economics Studies (13 papers). The work is most often cited by research in Marketing (1.6k citations), Management Information Systems (746 citations) and Strategy and Management (1.2k citations). Ganesh Iyer has collaborated with scholars based in United States, Canada and Hong Kong. Frequent co-authors include David Soberman, J. Miguel Villas‐Boas, Yuxin Chen, Markus Christen, Liang Guo, Amit Pazgal, Vineet Padmanabhan, Zsolt Katona, Dmitri Kuksov and Chakravarthi Narasimhan. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Marketing and Management 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.