Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Respiration rate and volume measurements using wearable strain sensors
2019263 citationsMichael Chu, Thao Thi Phuong Nguyen et al.npj Digital Medicineprofile →
A Scoping Review of Artificial Intelligence for Precision Nutrition
202518 citationsXizhi Wu, David Oniani et al.Advances in Nutritionprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Ramesh Jain'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 Ramesh Jain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ramesh Jain more than expected).
This network shows the impact of papers produced by Ramesh Jain. 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 Ramesh Jain. The network helps show where Ramesh Jain may publish in the future.
Co-authorship network of co-authors of Ramesh Jain
This figure shows the co-authorship network connecting the top 25 collaborators of Ramesh Jain.
A scholar is included among the top collaborators of Ramesh Jain 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 Ramesh Jain. Ramesh Jain is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Wu, Xizhi, David Oniani, Zeman Shao, et al.. (2025). A Scoping Review of Artificial Intelligence for Precision Nutrition. Advances in Nutrition. 16(4). 100398–100398.18 indexed citations breakdown →
Khurana, S. M. P., et al.. (2002). Development of forewarning system of potato aphid (Myzus persicae) on potato (Solanum tuberosum) in India.. The Indian Journal of Agricultural Sciences. 72(6). 341–345.2 indexed citations
12.
Jain, Ramesh, et al.. (1990). Effect of phosphorus and potassium on yield, nutrients uptake, protein and oil contents of groundnut (Arachis hypogaea).. The Indian Journal of Agricultural Sciences. 60(8). 559–561.1 indexed citations
13.
Jain, Ramesh, et al.. (1990). Relative depths and correspondences from protracted frame sequences.. Deep Blue (University of Michigan).
14.
Singh, Sarvesh Pal & Ramesh Jain. (1987). Yield of heartwood in Acacia catechu (khair) for use in katha manufacture.. Indian Forester. 113(6). 404–408.1 indexed citations
Jain, Ramesh, et al.. (1983). Effects of Spacing and Thinnings in Casuarina Stands. Indian Forester. 109(1). 12–16.2 indexed citations
18.
Singh, Satya Prakash & Ramesh Jain. (1980). Volume Table for Trewia nudiflora (Gutel) -application of Cosh Function and Dummy Variable in Volume Estimation. Indian Forester. 106(10). 696–702.2 indexed citations
19.
Sharma, Ram P. & Ramesh Jain. (1977). Regional Volume Tables of Pinus kesiya Royle ex Gord. (Based on the Data of Manipur State). Indian Forester. 103(7). 458–459.1 indexed citations
20.
Jain, Ramesh, et al.. (1974). Basal Area - Volume Relations for Eucalyptus grandis Crops. Indian Forester. 100(11). 670–680.1 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.