N Shashank

562 citations
5 papers · 323 · 1 hit paper · h-index 2

Impact in

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

Papers in

Journals
International Journal Of Engineering And Computer Science (1 paper)International Journal for Research in Applied Science and Engineering Technology (1 paper)
Partner nations
IndiaUnited States

In The Last Decade

N Shashank

2 papers receiving 283 citations

N Shashank's Hit Papers

Plant Disease Detection Using Machine Learning 2018 · 321 citations
3210+2+5Years since publication100200300

Peers

N Shashank
Comparison fields: 5 of 37
  • Analytical Chemistry 120
  • Plant Science 304
  • Ecology 34
  • Cell Biology 13
  • Food Science 11
Replace P. Revathi with:
P. Revathi India
Ramachandra Hebbar India
Vibhor Kumar Vishnoi India
Malusi Sibiya South Africa
C. K. Sunil India
Poornima Singh Thakur India
Veena I Puranikmath India
Nidhi Kundu India
Gittaly Dhingra India
R Pramodhini India
N Shashank relative to P. Revathi India P. Revathi's profile →
Citations per field
00.5×1.5×1.8×
P. Revathi · 1×
Citations per year

Countries citing papers authored by N Shashank

Since Specialization
Citations

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

Fields of papers citing papers by N Shashank

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 3 scholars most cited alongside N Shashank, 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 N Shashank Line = papers co-authored together N Shashank links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown
#Work
1
Plant Disease Detection Using Machine Learning
Hit paper breakdown →
2018321
2 20162
3 20250
4 20240
5 20170

About N Shashank

N Shashank is a scholar working on Artificial Intelligence, Computer Networks and Communications, Signal Processing, Radiology, Nuclear Medicine and Imaging and Plant Science, having authored 5 papers that have together received 323 indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (1 paper), COVID-19 diagnosis using AI (1 paper), Natural Language Processing Techniques (1 paper), Advanced Malware Detection Techniques (1 paper), Network Security and Intrusion Detection (1 paper), Gait Recognition and Analysis (1 paper), Anomaly Detection Techniques and Applications (1 paper) and Text and Document Classification Technologies (1 paper). The work is most often cited by research in Analytical Chemistry (120 citations), Plant Science (304 citations), Ecology (34 citations), Cell Biology (13 citations) and Food Science (11 citations). N Shashank has collaborated with scholars based in India and United States. Frequent co-authors include Ramachandra Hebbar, S. D. Madhu Kumar and Jagadish S. Kallimani. Their work appears in journals such as International Journal Of Engineering And Computer Science and International Journal for Research in Applied Science and Engineering Technology.

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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