This map shows the geographic impact of Harsh Mehta'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 Harsh Mehta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Harsh Mehta more than expected).
This network shows the impact of papers produced by Harsh Mehta. 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 Harsh Mehta. The network helps show where Harsh Mehta may publish in the future.
Co-authorship network of co-authors of Harsh Mehta
This figure shows the co-authorship network connecting the top 25 collaborators of Harsh Mehta.
A scholar is included among the top collaborators of Harsh Mehta 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 Harsh Mehta. Harsh Mehta is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Tomar, J. M. S., et al.. (2017). Throughfall, stemflow and interception loss in Grewia optiva and Morus alba in north west Himalayas.6 indexed citations
Mehta, Harsh, et al.. (2014). Combining ability analysis for yield in hybrid rice (Oryza sativa L.). Electronic Journal of Plant Breeding. 5(4). 626–631.1 indexed citations
10.
Mehta, Harsh, et al.. (2012). Heterosis for qualitative and quantitative traits in rice (Oryza sativa L.). Crop Research. 44(3). 386–390.1 indexed citations
11.
Mehta, Harsh, et al.. (2011). Genetics of fertility restoration of diverse cytosterile sources in rice (Oryza sativa L.). Indian Journal of Genetics and Plant Breeding (The). 71(1). 1–8.11 indexed citations
12.
Mehta, Harsh, et al.. (2011). Genotype x environment interaction and stability analysis in hybrid rice. Crop improvement. 38(1). 6–12.1 indexed citations
13.
Mehta, Harsh, et al.. (2011). High-yielding provenances of bhimal (Grewia optiva) for fodder and fuelwood production in north-western Himalayas.. The Indian Journal of Agricultural Sciences. 81(8). 717–722.3 indexed citations
14.
Mehta, Harsh, et al.. (2010). Effect of tillage management in rice (Oryza sativa )- groundnut (Arachis hypogaea L.) cropping system. INTERNATIONAL JOURNAL OF AGRICULTURAL SCIENCES. 6(1). 246–249.1 indexed citations
15.
Mehta, Harsh, et al.. (2010). Economics of paddy based cropping system under south Gujarat condition.. AGRICULTURE UPDATE. 5. 64–68.2 indexed citations
16.
Mehta, Harsh, et al.. (2007). Genetic Analysis of Morphophysiological and Yield Component Traits in Barnyard Millet (I). Crop improvement. 34(1). 82–85.2 indexed citations
17.
Mehta, Harsh, et al.. (2005). Genetic diversity in barnyard millet (Echinochloa frumentacea Roxb.). Indian Journal of Genetics and Plant Breeding (The). 65(4). 293–295.11 indexed citations
18.
Baras, John S. & Harsh Mehta. (2003). A Probabilistic Emergent Routing Algorithm for Mobile Ad Hoc Networks. HAL (Le Centre pour la Communication Scientifique Directe).135 indexed citations
19.
Mehta, Harsh, et al.. (2000). Stability analysis of high yielding wheats at varying fertility levels. Indian Journal of Genetics and Plant Breeding (The). 60(4). 471–476.5 indexed citations
20.
Singh, Shalini, D.N. Sharma, & Harsh Mehta. (1998). Resistance to Puccinia recondita tritici in synthetic hexaploid wheats. Indian Journal of Genetics and Plant Breeding (The). 58(3). 263–269.4 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.