Nitin Narang

914 citations
31 papers · 733 · h-index 14

Impact in

Papers in

    • Electric Power System Optimization 28
    • Optimal Power Flow Distribution 17
    • Smart Grid Energy Management 12
    • Integrated Energy Systems Optimization 9
    • Energy Load and Power Forecasting 6
    • Metaheuristic Optimization Algorithms Research 6
    • Anomaly Detection Techniques and Applications 1

Nitin Narang

30 papers receiving 722 citations

Peers

Nitin Narang
Comparison fields: 5 of 58
  • Energy Engineering and Power Technology 52
  • Electrical and Electronic Engineering 598
  • Control and Systems Engineering 145
  • Artificial Intelligence 130
  • Safety, Risk, Reliability and Quality 32
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Citations per field
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Citations per year

Countries citing papers authored by Nitin Narang

Since Specialization
Citations

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

Fields of papers citing papers by Nitin Narang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside Nitin Narang, 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 Nitin Narang Line = papers co-authored together Nitin Narang 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 2017116
2 201695
3 201972
4 201263
5 201843
6 201841
7 201437
8 202030
9 201829
10 201926
11 201725
12 201424
13 202023
14 201221
15 201614
16 201914
17 201813
18 20238
19
SHORT TERM HYDROTHERMAL SCHEDULING USING EVOLUTIONARY PROGRAMMING
20097
20 20216

About Nitin Narang

Nitin Narang is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Control and Systems Engineering, Statistics, Probability and Uncertainty and Safety, Risk, Reliability and Quality, having authored 31 papers that have together received 733 indexed citations. Recurring topics across this work include Electric Power System Optimization (28 papers), Optimal Power Flow Distribution (17 papers), Smart Grid Energy Management (12 papers), Integrated Energy Systems Optimization (9 papers), Metaheuristic Optimization Algorithms Research (6 papers), Energy Load and Power Forecasting (6 papers), Microgrid Control and Optimization (3 papers) and Anomaly Detection Techniques and Applications (1 paper). The work is most often cited by research in Energy Engineering and Power Technology (52 citations), Electrical and Electronic Engineering (598 citations), Control and Systems Engineering (145 citations), Artificial Intelligence (130 citations) and Safety, Risk, Reliability and Quality (32 citations). Nitin Narang has collaborated with scholars based in India. Frequent co-authors include Jaspreet Singh Dhillon, Dwarkadas P. Kothari, Harish Garg, Mandeep Kaur, Sanjay Kumar Jain, Vinod K. Puri, Anurag Verma and Nirbhow Jap Singh. Their work appears in journals such as Applied Soft Computing, Energy, Energy Conversion and Management, Neural Computing and Applications and Environmental Progress & Sustainable 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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