This map shows the geographic impact of J.K. Sharma'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 J.K. Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J.K. Sharma more than expected).
This network shows the impact of papers produced by J.K. Sharma. 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 J.K. Sharma. The network helps show where J.K. Sharma may publish in the future.
Co-authorship network of co-authors of J.K. Sharma
This figure shows the co-authorship network connecting the top 25 collaborators of J.K. Sharma.
A scholar is included among the top collaborators of J.K. Sharma 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 J.K. Sharma. J.K. Sharma is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Sharma, J.K., et al.. (2019). An Empirical Study on Service Quality Comparison Between Private and Public Hospitals in Delhi-NCR. 8(4). 13–27.
4.
Sharma, J.K., et al.. (2015). Management of Fusarium wilt of tomato under protected conditions using Brassica crop residues, AM fungi and biocontrol agents. Indian Phytopathology. 68(3). 287–292.1 indexed citations
5.
Sharma, J.K., et al.. (2015). Marketing Expenses & Profitability: Evidence from Telecom Sector in Kingdom of Saudi Arabia. European Journal of Business and Management. 7(35). 66–70.6 indexed citations
6.
Sharma, J.K., et al.. (2015). Bio-efficacy on tank-mixed propaquizafop and imazethapyr against weeds in soybean. Indian Journal of Weed Science. 47(2). 158–162.9 indexed citations
7.
Kumari, Reena, et al.. (2015). Evaluation of elite maize genotypes (Zea mays L.) for nutritional traits.. Electronic Journal of Plant Breeding. 6(1). 350–354.3 indexed citations
8.
Sharma, J.K., et al.. (2015). Weed control in soybean with propaquizafop alone and in mixture with imazethapyr. Indian Journal of Weed Science. 47(1). 31–33.3 indexed citations
Kaur, Manpreet, V. D. Mishra, & J.K. Sharma. (2012). Effects of Topographic Corrections on Snow Cover Monitoring In Himalayan Terrain Using MODIS Data. 1(5).1 indexed citations
11.
Kumar, Sanjeev, H. B. Singh, J.K. Sharma, & Salej Sood. (2010). Heterosis for morpho-physiological and qualitative traits in rice. ORYZA- An International Journal on Rice. 47(1). 17–21.6 indexed citations
Kumar, Sanjeev, et al.. (2008). Mode of gene action for grain yield, its components and grain quality traits in non-segregating generation (F1) of rice. ORYZA- An International Journal on Rice. 45(2). 152–155.1 indexed citations
15.
Kumar, Sanjeev, et al.. (2007). Combining ability analysis for grain yield and other associated traits in rice. ORYZA- An International Journal on Rice. 44(2). 108–114.21 indexed citations
16.
Chaudhuri, D., et al.. (2007). Automated Detection of Tracks in Mountainous Terrain using IRS-1C/1D Images.2 indexed citations
17.
Sharma, J.K., et al.. (2006). Components of Variation, Combining Ability and Heterosis Studies for Yield and its Related Traits in Maize (Zea mays L.). Crop improvement. 33(2). 151–156.1 indexed citations
18.
Sharma, J.K., et al.. (2003). Evaluation of some chemical and botanical insecticides against coriander aphid, Hyadaphis coriandari (Das).. 19(1). 95–97.1 indexed citations
19.
Sharma, J.K.. (2000). Tourism planning and development : a new perspective.
20.
Sharma, J.K.. (1985). Bank credit and economic development in India.
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.