This map shows the geographic impact of Rohit Maurya'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 Rohit Maurya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rohit Maurya more than expected).
This network shows the impact of papers produced by Rohit Maurya. 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 Rohit Maurya. The network helps show where Rohit Maurya may publish in the future.
Co-authorship network of co-authors of Rohit Maurya
This figure shows the co-authorship network connecting the top 25 collaborators of Rohit Maurya.
A scholar is included among the top collaborators of Rohit Maurya 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 Rohit Maurya. Rohit Maurya is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Yadav, Ajay, et al.. (2021). Effects of Mercuric chloride and Ethanol for surface sterilization under in vitro plant growth in banana (Musa paradisiaca L.) variety “Udhayam”. Journal of Pharmacognosy and Phytochemistry. 10(1). 2281–2283.1 indexed citations
9.
Maurya, Rohit, et al.. (2020). Assessment the effect of sulphur dose on onion (Allium Cepa) in Koshi region. Journal of Pharmacognosy and Phytochemistry. 9(3). 895–898.
10.
Maurya, Rohit, et al.. (2020). Assessment the efficacy of plant growth regulators on growth and yield of Chilli (Capsicum annuum L.) in Koshi region of Bihar-an on farm Trial. Journal of Pharmacognosy and Phytochemistry. 9(3). 858–859.1 indexed citations
11.
Yadav, Vivek, et al.. (2018). To study in genetic variability and genetic divergence using non-hierarchical D2 analysis in taro (Colocasia esculenta L. var. Antiquorum). International Journal of Chemical Studies. 6(3). 2753–2756.1 indexed citations
12.
Maurya, Rohit, et al.. (2018). Studies on genetic divergence in bitter gourd (Momordica charantia L.). International Journal of Chemical Studies. 6(6). 2637–2639.2 indexed citations
13.
Maurya, Rohit, et al.. (2018). Genetic variability studies in turmeric (Curcuma longa L.). International Journal of Chemical Studies. 6(4). 1960–1962.2 indexed citations
14.
Kumar, Sanjay, et al.. (2018). Effect of organic manure and bio-fertilizers on quality parameters of strawberry (Fragaria x ananassa Duch.) cv. chandler. Journal of Pharmacognosy and Phytochemistry. 7(6). 1227–1228.1 indexed citations
15.
Yadav, Sandeep, et al.. (2018). Genetic variability, heritability and genetic advance for yield and its contributing traits in brinjal (Solanum melongena L.). Journal of Pharmacognosy and Phytochemistry. 7(5). 3189–3193.1 indexed citations
16.
Maurya, Rohit, et al.. (2018). Studies on genetic divergence in garlic (Allium sativum L.) germplasm. Journal of Pharmacognosy and Phytochemistry. 7(6). 1625–1630.1 indexed citations
17.
Kumari, Preeti, et al.. (2018). Medicinal properties of turmeric (Curcuma longa L.): A review. International Journal of Chemical Studies. 6(4). 1354–1357.70 indexed citations
18.
Maurya, Rohit, et al.. (2012). Building extraction from very high resolution multispectral images using NDVI based segmentation and morphological operators. IEEE-International Conference On Advances In Engineering, Science And Management. 577–581.1 indexed citations
19.
Maurya, Rohit, et al.. (2012). EVALUATION OF DIFFERENT ORGANIC MEDIA AND WATER HOLDING MATERIALS WITH IBA ON ROOTING AND SURVIVAL OF AIR LAYERING IN GUAVA (Psidium guajava L.) CV. ALLAHABAD SAFEDA. THE ASIAN JOURNAL OF HORTICULTURE. 7(1). 44–47.8 indexed citations
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
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research landscape, it—like all bibliographic datasets—has inherent limitations. These include
incomplete records, variations in author disambiguation, differences in journal indexing, and
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Rankless may not fully capture the entirety of a scholar's output or impact.