What is he best known for?
The fields of study Ramakrishnan Ramanathan is best known for:
- Management
- Marketing
- Operations research
As a part of the same scientific family, Ramakrishnan Ramanathan mostly works in the field of Listing (finance), focusing on Finance and, on occasion, Order (exchange).
Ramakrishnan Ramanathan combines topics linked to Finance with his work on Order (exchange).
His research on Artificial intelligence often connects related areas such as Perspective (graphical) and Selection (genetic algorithm).
His Perspective (graphical) study frequently draws connections to other fields, such as Artificial intelligence.
In the field of Operating system Ramakrishnan Ramanathan connects related research areas like Process (computing) and Total cost of ownership.
Ramakrishnan Ramanathan conducts interdisciplinary study in the fields of Process (computing) and Operating system through his works.
Ramakrishnan Ramanathan combines topics linked to Conceptual framework and Quality (philosophy) with his work on Epistemology.
He regularly links together related areas like Epistemology in his Quality (philosophy) studies.
His work on Statistics is being expanded to include thematically relevant topics such as Linear correlation, Linear relationship and Value (mathematics).
His most cited work include:
- A review of applications of Analytic Hierarchy Process in operations management (432 citations)
- The impact of marketing capability, operations capability and diversification strategy on performance: A resource-based view (329 citations)
- ABC inventory classification with multiple-criteria using weighted linear optimization (322 citations)
What are the main themes of his work throughout his whole career to date
Ramakrishnan Ramanathan combines topics linked to Service (business) with his work on Marketing.
His research on Service (business) often connects related topics like Service quality.
He brings together Service quality and Marketing to produce work in his papers.
His work in Statistics is not limited to one particular discipline; it also encompasses Data envelopment analysis.
Many of his studies on Data envelopment analysis involve topics that are commonly interrelated, such as Statistics.
Finance and Order (exchange) are commonly linked in his work.
Order (exchange) is closely attributed to Finance in his study.
His work on World Wide Web is being expanded to include thematically relevant topics such as Index (typography).
He combines topics linked to World Wide Web with his work on Index (typography).
Ramakrishnan Ramanathan most often published in these fields:
- Marketing (61.02%)
- Industrial organization (33.90%)
- Statistics (28.81%)
What were the highlights of his more recent work (between 2018-2021)?
- Supply chain (50.00%)
- Supply chain management (50.00%)
- Law (50.00%)
In recent works Ramakrishnan Ramanathan was focusing on the following fields of study:
In general Foreign direct investment, his work in Macroeconomics is often linked to Environmental economics linking many areas of study.
His Macroeconomics study frequently draws connections between related disciplines such as Foreign direct investment.
In his works, he performs multidisciplinary study on Supply chain and Supply chain management.
Supply chain management is often connected to Supply chain risk management in his work.
Ramakrishnan Ramanathan integrates Supply chain risk management and Supply chain in his studies.
Many of his studies on Law apply to Credibility as well.
His Law research extends to Credibility, which is thematically connected.
His research brings together the fields of Service management and Marketing.
Ramakrishnan Ramanathan regularly ties together related areas like Marketing in his Service management studies.
Between 2018 and 2021, his most popular works were:
- Can environmental investments benefit environmental performance? The moderating roles of institutional environment and foreign direct investment (27 citations)
- Managing knowledge in supply chains: a catalyst to triple bottom line sustainability (20 citations)
- Towards optimal resource provisioning for Hadoop-MapReduce jobs using scale-out strategy and its performance analysis in private cloud environment (15 citations)
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