What is he best known for?
The fields of study he is best known for:
- The Internet
- Artificial intelligence
- Computer network
His main research concerns Marketing, Advertising, Computer security, Software and Perception.
He interconnects Timetabling problem and Operations research in the investigation of issues within Marketing.
His study in Advertising is interdisciplinary in nature, drawing from both Information asymmetry, Loyalty, Transparency and Conceptualization.
His research investigates the connection with Computer security and areas like Internet privacy which intersect with concerns in Vulnerability disclosure, Information sharing, Intelligent computer network and Free riding.
You can notice a mix of various disciplines of study, such as Consumer behaviour, Brand awareness and Brand extension, in his Perception studies.
His Consumer behaviour research is multidisciplinary, relying on both Quality, Brand equity, Database transaction, Conceptual model and Brand management.
His most cited work include:
- The Effects of Price-Comparison Advertising on Buyers’ Perceptions of Acquisition Value, Transaction Value, and Behavioral Intentions: (1260 citations)
- The Effect of Store Name, Brand Name and Price Discounts on Consumers' Evaluations and Purchase Intentions (978 citations)
- Prices and Price Dispersion on the Web: Evidence from the Online Book Industry (296 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Marketing, The Internet, World Wide Web, Artificial intelligence and Computer security.
As part of his studies on Marketing, Ramayya Krishnan often connects relevant subjects like Advertising.
Ramayya Krishnan conducted interdisciplinary study in his works that combined Advertising and Product.
His research ties Machine learning and Artificial intelligence together.
His Computer security research includes elements of Software and Internet privacy.
The study incorporates disciplines such as Vulnerability disclosure and Peer-to-peer in addition to Internet privacy.
He most often published in these fields:
- Marketing (14.29%)
- The Internet (11.43%)
- World Wide Web (9.52%)
What were the highlights of his more recent work (between 2012-2020)?
- Social network (6.19%)
- Artificial intelligence (7.62%)
- Machine learning (4.29%)
In recent papers he was focusing on the following fields of study:
Social network, Artificial intelligence, Machine learning, Empirical research and Set are his primary areas of study.
His Social network research integrates issues from Scalability, Rank and Scale.
His Artificial intelligence research incorporates elements of Decision analysis and Social group.
The concepts of his Empirical research study are interwoven with issues in Service quality, Speech recognition and Customer satisfaction.
His Set research is multidisciplinary, incorporating perspectives in Transaction data, Baseline, Theoretical computer science and Tie strength.
In his research, Data mining is intimately related to Budget constraint, which falls under the overarching field of Baseline.
Between 2012 and 2020, his most popular works were:
- HYDRA: large-scale social identity linkage via heterogeneous behavior modeling (150 citations)
- The Impact of Dynamic Presentation Format on Consumer Preferences for Hedonic Products and Services (72 citations)
- On Product-Level Uncertainty and Online Purchase Behavior: An Empirical Analysis (56 citations)
In his most recent research, the most cited papers focused on:
- The Internet
- Artificial intelligence
- Computer network
Ramayya Krishnan mostly deals with Advertising, Key, Adaptive routing, Mathematical optimization and Multipath routing.
His Advertising research is multidisciplinary, incorporating elements of Social influence, Marketing, Product and Empirical research.
His Marketing study incorporates themes from Transaction data and Set.
His Key research is multidisciplinary, incorporating perspectives in Routing and Field.
Ramayya Krishnan combines Adaptive routing and Simulation in his studies.
His Experiential learning research overlaps with Valuation, Willingness to pay, Service experience, Emerging technologies and Quality.
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