K. S. Reddy

1.3k citations
63 papers · 588 indexed · h-index 14
Topics
Anomaly Detection Techniques and Applications (5 papers)Smart Agriculture and AI (4 papers)Brain Tumor Detection and Classification (4 papers)
Journals
SHILAP Revista de lepidopterologíaScientific ReportsPhysiologia Plantarum

In The Last Decade

K. S. Reddy

50 papers receiving 543 citations

Peers

K. S. Reddy
Comparison fields: 5 of 99
  • Artificial Intelligence 246
  • Computer Vision and Pattern Recognition 91
  • Radiology, Nuclear Medicine and Imaging 86
  • Plant Science 84
  • Information Systems 83
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Citations per year

Countries citing papers authored by K. S. Reddy

Since Specialization
Citations

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

Fields of papers citing papers by K. S. Reddy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K. S. Reddy. 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 K. S. Reddy. The network helps show where K. S. Reddy may publish in the future.

Co-authorship network of co-authors of K. S. Reddy

This figure shows the co-authorship network connecting the top 25 collaborators of K. S. Reddy. A scholar is included among the top collaborators of K. S. Reddy 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 K. S. Reddy. K. S. Reddy 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 0
2 0
3 1
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5 12
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7 20
8 19
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14
Root morphology and architecture (CRIDA indigenous root chamber-pin board method) of two morphologically contrasting genotypes of mungbean under varied water conditions
1
15
Genetic analysis and transgressive segregation for seed weight and seed yield in F2 populations of mungbean.
1
16
Effect of integrated nitrogen management on soil enzyme activities in maize.
2
17
Mutation breeding in oilseeds and grain legumes in India: accomplishments and socio-economic impact.
5
18 7
19
Influence of nutrient status of leaves on cane yield and juice quality of sugarcane.
1
20
Effect of time of sowing on sheath rot disease incidence in rice.
1

About K. S. Reddy

K. S. Reddy is a scholar working on Software, Architecture and Health Information Management, having authored 63 papers that have together received 588 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (5 papers), Smart Agriculture and AI (4 papers) and Brain Tumor Detection and Classification (4 papers). The work is most often cited by research in Health Information Management (63 citations), Artificial Intelligence (246 citations) and Neurology (44 citations). K. S. Reddy has collaborated with scholars based in India, Australia and United States. Frequent co-authors include Badal Soni, RC Menary, A. Mallikarjuna Reddy, G. P. Saradhi Varma, Ramalingaswamy Cheruku, Pankaj Kumar, A. Govardhan, A. Mallikarjun, S. Sai Satyanarayana Reddy and Nirmalya Kar. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Physiologia Plantarum.

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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