D. Vydeki

714 citations
17 papers · 466 · 1 hit paper · h-index 8

Impact in

    • Spectroscopy and Chemometric Analyses
    • Smart Agriculture and AI
    • Leaf Properties and Growth Measurement
    • Plant Disease Management Techniques
    • Date Palm Research Studies
    • Greenhouse Technology and Climate Control

Papers in

D. Vydeki

15 papers receiving 414 citations

D. Vydeki's Hit Papers

Recognition and classification of paddy leaf diseases using Optimized Deep Neural network with Jaya algorithm 2019 · 242 citations
2420+2+4Years since publication50100150200

Peers

D. Vydeki
Comparison fields: 5 of 58
  • Analytical Chemistry 188
  • Plant Science 325
  • Computer Networks and Communications 65
  • Health Information Management 9
  • Neurology 9
Replace Shilpi Harnal with:
Shilpi Harnal India
Shaomin Mu China
Naresh Kumar Trivedi India
Shweta Lamba India
Sulieman Bani‐Ahmad Jordan
G. Sambasivam India
Sammy V. Militante Philippines
K. Ashokkumar India
Chunli Lv China
V. R. Udupi India
D. Vydeki relative to Shilpi Harnal India Shilpi Harnal's profile →
Citations per field
00.5×10×20×30×40.5×
Shilpi Harnal · 1×
Citations per year

Countries citing papers authored by D. Vydeki

Since Specialization
Citations

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

Fields of papers citing papers by D. Vydeki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. Vydeki. 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 D. Vydeki. The network helps show where D. Vydeki may publish in the future.

Co-authors

The 4 scholars most cited alongside D. Vydeki, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with D. Vydeki Line = papers co-authored together D. Vydeki links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1
Recognition and classification of paddy leaf diseases using Optimized Deep Neural network with Jaya algorithm
Hit paper breakdown →
2019242
2 201869
3 197051
4 201226
5 201921
6 202118
7 202210
8 20139
9 20186
10 20185
11 20183
12 20172
13 20231
14 20181
15 20121
16 20101
17 20250

About D. Vydeki

D. Vydeki is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence and Plant Science, having authored 17 papers that have together received 466 indexed citations. Recurring topics across this work include Opportunistic and Delay-Tolerant Networks (3 papers), Network Security and Intrusion Detection (3 papers), Energy Efficient Wireless Sensor Networks (3 papers), Smart Agriculture and AI (3 papers), Mobile Ad Hoc Networks (3 papers), Brain Tumor Detection and Classification (2 papers), Spectroscopy and Chemometric Analyses (2 papers) and Power Line Communications and Noise (2 papers). The work is most often cited by research in Analytical Chemistry (188 citations), Plant Science (325 citations), Computer Networks and Communications (65 citations), Health Information Management (9 citations) and Neurology (9 citations). D. Vydeki has collaborated with scholars based in India and United States. Frequent co-authors include S. Ramesh, K. Sujatha, R. S. Bhuvaneswaran and Shantanu Singh. Their work appears in journals such as Information Processing in Agriculture, Journal of Computer Science, Concurrency and Computation Practice and Experience and DOAJ (DOAJ: Directory of Open Access Journals).

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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