Yogesh Kumar Rathore

554 total citations
29 papers, 278 citations indexed

About

Yogesh Kumar Rathore is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Plant Science. According to data from OpenAlex, Yogesh Kumar Rathore has authored 29 papers receiving a total of 278 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 7 papers in Plant Science. Recurrent topics in Yogesh Kumar Rathore's work include Smart Agriculture and AI (7 papers), AI in cancer detection (5 papers) and Digital Imaging for Blood Diseases (4 papers). Yogesh Kumar Rathore is often cited by papers focused on Smart Agriculture and AI (7 papers), AI in cancer detection (5 papers) and Digital Imaging for Blood Diseases (4 papers). Yogesh Kumar Rathore collaborates with scholars based in India, Saudi Arabia and Nepal. Yogesh Kumar Rathore's co-authors include Rekh Ram Janghel, Monica Ramchandani, Deepak Kumar Dewangan, Kamred Udham Singh, Ankit Kumar, Saroj Kumar Pandey, Rajeev Pandey, Teekam Singh, Raj Kiran and Uday Pratap Singh and has published in prestigious journals such as Medical & Biological Engineering & Computing, Journal of Sensors and IRBM.

In The Last Decade

Yogesh Kumar Rathore

25 papers receiving 251 citations

Peers

Yogesh Kumar Rathore
Comparison fields: 5 of 55
  • Neurology 96
  • Computer Vision and Pattern Recognition 74
  • Plant Science 62
  • Artificial Intelligence 61
  • Health Information Management 49
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Citations per field, relative to Yogesh Kumar Rathore
Yogesh Kumar Rathore · 1×
Citations per year, relative to Yogesh Kumar Rathore
Yogesh Kumar Rathore · 1×

Countries citing papers authored by Yogesh Kumar Rathore

Since Specialization
Citations

This map shows the geographic impact of Yogesh Kumar Rathore'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 Yogesh Kumar Rathore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yogesh Kumar Rathore more than expected).

Fields of papers citing papers by Yogesh Kumar Rathore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yogesh Kumar Rathore. 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 Yogesh Kumar Rathore. The network helps show where Yogesh Kumar Rathore may publish in the future.

Co-authorship network of co-authors of Yogesh Kumar Rathore

This figure shows the co-authorship network connecting the top 25 collaborators of Yogesh Kumar Rathore. A scholar is included among the top collaborators of Yogesh Kumar Rathore 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 Yogesh Kumar Rathore. Yogesh Kumar Rathore 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
# Work Indexed citations
1 1
2 1
3 0
4 2
5 0
6 0
7 11
8 3
9 1
10 8
11 6
12 33
13 124
14 1
15
Detection and Classification of Blood Cancer from Microscopic Cell Images Using SVM KNN and NN Classifier
10
16 1
17
A Brief Study of Data Compression Algorithms
5
18
DWT Based Copy-Move Image Forgery Detection
23
19
An Efficient and Useful Hybrid Approach for Detection of Lung Cancer
2
20
Colorization of Gray Scale Images using Fully Automated Approach
6

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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