Ramesh Jain

37 papers receiving 781 citations

Hit Papers

Respiration rate and volume measurements using wearable s...20192026202120232019202550100150200250

Peers

Ramesh Jain
Comparison fields: 5 of 127
  • Computer Vision and Pattern Recognition 405
  • Biomedical Engineering 223
  • Computer Graphics and Computer-Aided Design 172
  • Computational Mechanics 94
  • Electrical and Electronic Engineering 84
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Citations per year

Countries citing papers authored by Ramesh Jain

Since Specialization
Citations

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).

Fields of papers citing papers by Ramesh Jain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 8
2 0
3
A Scoping Review of Artificial Intelligence for Precision Nutritionbreakdown →
18
4 13
5 6
6 6
7
Respiration rate and volume measurements using wearable strain sensorsbreakdown →
263
8 4
9 19
10 1
11
Development of forewarning system of potato aphid (Myzus persicae) on potato (Solanum tuberosum) in India.
2
12
Effect of phosphorus and potassium on yield, nutrients uptake, protein and oil contents of groundnut (Arachis hypogaea).
1
13
Relative depths and correspondences from protracted frame sequences.
0
14
Yield of heartwood in Acacia catechu (khair) for use in katha manufacture.
1
15 63
16 1
17
Effects of Spacing and Thinnings in Casuarina Stands
2
18
Volume Table for Trewia nudiflora (Gutel) -application of Cosh Function and Dummy Variable in Volume Estimation
2
19
Regional Volume Tables of Pinus kesiya Royle ex Gord. (Based on the Data of Manipur State)
1
20
Basal Area - Volume Relations for Eucalyptus grandis Crops
1

About Ramesh Jain

Ramesh Jain is a scholar working on Health Informatics, Computer Vision and Pattern Recognition and Nature and Landscape Conservation, having authored 41 papers that have together received 841 indexed citations. Recurring topics across this work include Video Analysis and Summarization (4 papers), Image Retrieval and Classification Techniques (4 papers) and Forest ecology and management (4 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (172 citations), Computer Vision and Pattern Recognition (405 citations) and Geology (39 citations). Ramesh Jain has collaborated with scholars based in United States, India and China. Frequent co-authors include Thao Thi Phuong Nguyen, Shlomit Radom‐Aizik, Ronen Bar‐Yoseph, Vaibhav Pandey, Dan M. Cooper, Michael Chu, Michelle Khine, Sanjay Garg, William I. Grosky and Ming Li. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Proceedings of the IEEE and Advances in Nutrition.

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.

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