N. Gowtham

579 citations
25 papers · 347 · 1 hit paper · h-index 10

Impact in

Papers in

N. Gowtham

24 papers receiving 329 citations

N. Gowtham's Hit Papers

An optimized LSTM-based deep learning model for anomaly network intrusion detection 2025 · 50 citations
500Years since publication1020304050

Peers

N. Gowtham
Comparison fields: 5 of 48
  • Energy Engineering and Power Technology 29
  • Control and Systems Engineering 111
  • Electrical and Electronic Engineering 216
  • Automotive Engineering 30
  • Renewable Energy, Sustainability and the Environment 39
Replace Majid Ali with:
Majid Ali Pakistan
Xiao Kou United States
Olga Lavrova United States
Indu Sekhar Samanta India
Pradyumna Kumar Dhal India
Cenk Gezegin Türkiye
Sajjad Haider Shami Pakistan
Obaid Alshammari Saudi Arabia
Ö. Fatih Keçecioğlu Türkiye
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Citations per year

Countries citing papers authored by N. Gowtham

Since Specialization
Citations

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

Fields of papers citing papers by N. Gowtham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside N. Gowtham, 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. Gowtham Line = papers co-authored together N. Gowtham links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202197
2
An optimized LSTM-based deep learning model for anomaly network intrusion detection
Hit paper breakdown →
202550
3 202042
4 201624
5 201819
6 202417
7 202416
8 202414
9 202013
10 202410
11 20178
12 20217
13 20246
14 20204
15 20244
16 20113
17 20233
18 20172
19 20232
20 20202

About N. Gowtham

N. Gowtham is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials, Media Technology and Automotive Engineering, having authored 25 papers that have together received 347 indexed citations. Recurring topics across this work include Microgrid Control and Optimization (8 papers), Power Quality and Harmonics (5 papers), Smart Grid Energy Management (4 papers), Optimal Power Flow Distribution (3 papers), Magnetic Properties and Applications (3 papers), Energy Load and Power Forecasting (2 papers), Photovoltaic System Optimization Techniques (2 papers) and Electromagnetic Compatibility and Noise Suppression (2 papers). The work is most often cited by research in Energy Engineering and Power Technology (29 citations), Control and Systems Engineering (111 citations), Electrical and Electronic Engineering (216 citations), Automotive Engineering (30 citations) and Renewable Energy, Sustainability and the Environment (39 citations). N. Gowtham has collaborated with scholars based in India, Egypt and Saudi Arabia. Frequent co-authors include Dhafer Jaber Almakhles, Mahajan Sagar Bhaskar, K. Uma Rao, V. Prema, Kareem M. AboRas, Sujata Chakravarty, Amiya Kumar Rath, Nimay Chandra Giri, Ashraf Ibrahim Megahed and Sanjeevikumar Padmanaban. Their work appears in journals such as IEEE Access, Scientific Reports, Alexandria Engineering Journal, Computers & Electrical Engineering and Renewable Energy.

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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