This map shows the geographic impact of A. Ramalingam'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 A. Ramalingam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Ramalingam more than expected).
This network shows the impact of papers produced by A. Ramalingam. 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 A. Ramalingam. The network helps show where A. Ramalingam may publish in the future.
Co-authorship network of co-authors of A. Ramalingam
This figure shows the co-authorship network connecting the top 25 collaborators of A. Ramalingam.
A scholar is included among the top collaborators of A. Ramalingam 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 A. Ramalingam. A. Ramalingam is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Ramalingam, A., et al.. (2021). Prevalence and Antimicrobial Susceptibility Pattern of Carbapenemase Producing Gram-Negative Bacterial Isolates. Journal of Research in Medical and Dental Science. 9(6). 140–149.2 indexed citations
5.
Ramalingam, A., et al.. (2021). Detection of macro based attacks in office documents using Machine Learning. International journal of advance research, ideas and innovations in technology. 7(4). 760–764.
6.
Ramalingam, A., et al.. (2013). Assessment of Physico-chemical andBacteriological Parameters of Drinking Waterfrom Different Sources in Mysore City. International Journal of Innovative Research in Science Engineering and Technology. 2(10). 5687–5694.
Ramalingam, A., et al.. (2010). Search engine vulnerabilities and threats - a survey and proposed solution for a secured censored search platform. 535–539.2 indexed citations
Ramalingam, A., et al.. (2006). Screening of cotton genotypes against stem weevil, Pempherulus affinis Faust in field conditions.. Journal of Cotton Research and Development. 20(2).2 indexed citations
12.
Ramalingam, A., et al.. (2002). Genetics and order effects of seed cotton yield in upland cotton (Gossypium hirsutum L.) - triallel analysis. Indian Journal of Genetics and Plant Breeding (The). 62(4). 359–360.2 indexed citations
13.
Bharati, Akshar, et al.. (2001). Unsupervised Improvement of Morphological Analyzer for Inflectionally Rich Languages.. 685–692.10 indexed citations
14.
Ramalingam, A., et al.. (1990). Combining ability studies in sesame.. Journal of Oilseeds Research. 7(2). 75–77.1 indexed citations
15.
Ramalingam, A., et al.. (1983). Leaf blight of sorghum: influence of meteorological factors and crop growth stages on the spread of inoculum and disease.. Indian Phytopathology. 36(4). 700–706.1 indexed citations
16.
Ramalingam, A., et al.. (1980). Air-spora of a poultry shed at Mysore.. Indian Journal of Microbiology. 20(1). 6–12.6 indexed citations
17.
Rajasab, A. H., et al.. (1979). Epidemiology of sorghum downy mildew III. Dispersal and deposition of inoculum.. 7. 63–68.6 indexed citations
18.
Ramalingam, A., et al.. (1979). Toxic strains among air-borne isolates of Aspergillus flavus Link.. PubMed. 17(1). 97–8.1 indexed citations
19.
Ramalingam, A., et al.. (1979). The effect of sorghum pollen on the germination of conidia of Drechslera turcica (Pass.) Subram. & Jain.. Current Science. 48(10). 447–448.1 indexed citations
20.
Ramalingam, A., et al.. (1976). Epidemiology of sorghum downy mildew I. Disease scales and spore production.. Indian Phytopathology. 29(3). 273–277.3 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.