N. Krishnamoorthy

567 citations
31 papers · 326 · 1 hit paper · h-index 7

Impact in

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

Papers in

    • Cloud Computing and Resource Management 3
    • Blockchain Technology Applications and Security 2
    • Technology and Data Analysis 2
    • Anomaly Detection Techniques and Applications 2
    • AI in cancer detection 2

N. Krishnamoorthy

26 papers receiving 301 citations

N. Krishnamoorthy's Hit Papers

Rice leaf diseases prediction using deep neural networks with transfer learning 2021 · 215 citations
2150+1+3Years since publication50100150200

Peers

N. Krishnamoorthy
Comparison fields: 5 of 65
  • Analytical Chemistry 95
  • Plant Science 201
  • Health Information Management 18
  • Information Systems 27
  • Artificial Intelligence 29
Replace Shilpi Harnal with:
Shilpi Harnal India
Monu Bhagat India
S. Venkatramaphanikumar India
Jameer Kotwal India
Amit Sinha India
D. Vydeki India
Mohammad Shuaib Mir Saudi Arabia
Ahmed Elaraby Egypt
Rutuja Rajendra Patil India
Ihtiram Raza Khan India
N. Krishnamoorthy relative to Shilpi Harnal India Shilpi Harnal's profile →
Citations per field
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Citations per year

Countries citing papers authored by N. Krishnamoorthy

Since Specialization
Citations

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

Fields of papers citing papers by N. Krishnamoorthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside N. Krishnamoorthy, 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. Krishnamoorthy Line = papers co-authored together N. Krishnamoorthy links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Rice leaf diseases prediction using deep neural networks with transfer learning
Hit paper breakdown →
2021215
2 202215
3 202412
4
Identification of Anopheles fauna in a hyperendemic falciparum area of Orissa State, India.
200811
5 20219
6 20169
7 20237
8 20156
9 20185
10 20225
11 20234
12 20243
13 20233
14 20233
15 20233
16 20232
17 20222
18 20202
19 20232
20 20231

About N. Krishnamoorthy

N. Krishnamoorthy is a scholar working on Information Systems, Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 31 papers that have together received 326 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (3 papers), Cloud Computing and Resource Management (3 papers), Smart Agriculture and AI (3 papers), Blockchain Technology Applications and Security (2 papers), Anomaly Detection Techniques and Applications (2 papers), Spectroscopy and Chemometric Analyses (2 papers), Technology and Data Analysis (2 papers) and AI in cancer detection (2 papers). The work is most often cited by research in Analytical Chemistry (95 citations), Plant Science (201 citations), Health Information Management (18 citations), Information Systems (27 citations) and Artificial Intelligence (29 citations). N. Krishnamoorthy has collaborated with scholars based in India, China and South Korea. Frequent co-authors include Haftom Baraki Abraha, C. S. Pavan Kumar, L V Narasimha Prasad, V E Sathishkumar, K. Nirmala Devi, P Jambulingam, N. Karthikeyan, C. Rohith Bhat, T R Mahesh and V. Vinoth Kumar. Their work appears in journals such as Environmental Research, IEEE Access, Scalable Computing Practice and Experience, Information Technology And Control and Current Signal Transduction Therapy.

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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