This map shows the geographic impact of K. Narayanan'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 K. Narayanan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Narayanan more than expected).
This network shows the impact of papers produced by K. Narayanan. 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 K. Narayanan. The network helps show where K. Narayanan may publish in the future.
Co-authorship network of co-authors of K. Narayanan
This figure shows the co-authorship network connecting the top 25 collaborators of K. Narayanan.
A scholar is included among the top collaborators of K. Narayanan 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 K. Narayanan. K. Narayanan is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Kannan, K. P. & K. Narayanan. (2015). A Structural Equation Modelling Approach for Massive Blended Synchronous Teacher Training.. Educational Technology & Society. 18(3). 1–15.30 indexed citations
5.
Narayanan, K., et al.. (2014). Does Anti-Dumping Enforcement Generate Threat?. SSRN Electronic Journal.
6.
Siddharthan, N. S. & K. Narayanan. (2013). Human capital and development : the Indian experience. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)).2 indexed citations
7.
Sahu, Santosh Kumar & K. Narayanan. (2013). Carbon Dioxide Emissions from Indian Manufacturing Industries: Role of Energy and Technology Intensity. RePEc: Research Papers in Economics. 60–73.5 indexed citations
8.
Narayanan, K., et al.. (2012). Determinants of Mergers and Acquisitions in Indian Pharmaceutical Industry. SHILAP Revista de lepidopterología. 5(9). 79–102.22 indexed citations
Sahu, Santosh Kumar & K. Narayanan. (2011). Energy Intensity and Firm Performance: Do Energy Clusters Matter?. MPRA Paper.1 indexed citations
11.
Kannan, K. P. & K. Narayanan. (2011). ICT Enabled Teacher Training for Human Capital Formation: A Study of IIT Bombay Initiative. 30. 63–84.1 indexed citations
12.
Sahu, Santosh Kumar & K. Narayanan. (2011). Total Factor Productivity and Energy Intensity in Indian Manufacturing: A Cross-Sectional Study. International Journal of Energy Economics and Policy. 1(2). 47–58.21 indexed citations
13.
Sahu, Santosh Kumar & K. Narayanan. (2010). Decomposition of Industrial Energy Consumption in Indian Manufacturing : The Energy Intensity Approach. Journal of Environmental Management and Tourism. 1(1). 22–38.4 indexed citations
14.
Narayanan, K., et al.. (2010). Trade Dynamics and Foreign Exchange Reserves Management in India: An Empirical Study. SSRN Electronic Journal.1 indexed citations
15.
Narayanan, K., et al.. (2009). Determinants of Energy Intensity: A Preliminary Investigation of Indian Manufacturing. MPRA Paper. 0–0.6 indexed citations
16.
Narayanan, K. & Savita Bhat. (2009). Technological Efforts & Internationalization of IT Firms in India. Indian journal of industrial relations. 45(1). 62.7 indexed citations
17.
Narayanan, K., et al.. (2009). Determinants of Foreign Exchange Reserves in India: A Multivariate Cointegration Analysis. Indian Economic Review. 46(1). 83–107.2 indexed citations
18.
Mahagaonkar, Prashanth & K. Narayanan. (2008). Capital Structure Dynamics: Are Young and Small Firms Different?. SSRN Electronic Journal.3 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.