L.D. Arya

1.2k citations
64 papers · 924 · h-index 18

Impact in

Papers in

L.D. Arya

59 papers receiving 850 citations

Peers

L.D. Arya
Comparison fields: 5 of 43
  • Safety, Risk, Reliability and Quality 288
  • Control and Systems Engineering 398
  • Energy Engineering and Power Technology 52
  • Electrical and Electronic Engineering 809
  • Statistics, Probability and Uncertainty 27
Replace Xiaoli Meng with:
Xiaoli Meng China
C.W. Huang Taiwan
Kenji Iba Japan
S.C. Choube India
N.D.R. Sarma United States
Zhen Shu Singapore
Yazhou Jiang United States
Chia-Hung Lin Taiwan
Leandro Ramos de Araújo Brazil
Haozhong Cheng China
L.D. Arya relative to Xiaoli Meng China Xiaoli Meng's profile →
Citations per field
00.5×3.6×
Xiaoli Meng · 1×
Citations per year

Countries citing papers authored by L.D. Arya

Since Specialization
Citations

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

Fields of papers citing papers by L.D. Arya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside L.D. Arya, 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 L.D. Arya Line = papers co-authored together L.D. Arya links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012112
2 202173
3 200951
4 199340
5 201038
6 201237
7 201236
8 200735
9 201429
10 201229
11 201028
12 200527
13 201226
14 201426
15 201124
16 199723
17 200521
18 200019
19 200416
20 199615

About L.D. Arya

L.D. Arya is a scholar working on Electrical and Electronic Engineering, Safety, Risk, Reliability and Quality, Control and Systems Engineering, Civil and Structural Engineering and Computer Networks and Communications, having authored 64 papers that have together received 924 indexed citations. Recurring topics across this work include Optimal Power Flow Distribution (46 papers), Power System Reliability and Maintenance (34 papers), Power System Optimization and Stability (30 papers), Electric Power System Optimization (16 papers), Microgrid Control and Optimization (7 papers), Water Systems and Optimization (4 papers), Power Systems Fault Detection (4 papers) and Wireless Communication Networks Research (3 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (288 citations), Control and Systems Engineering (398 citations), Energy Engineering and Power Technology (52 citations), Electrical and Electronic Engineering (809 citations) and Statistics, Probability and Uncertainty (27 citations). L.D. Arya has collaborated with scholars based in India and Ethiopia. Frequent co-authors include S.C. Choube, D. P. Kothari, Rajesh Arya, Pushpendra Singh, Manish Shrivastava, P.R. Bijwe, Aditya Kumar Tiwary, Pradip Kumar Sadhu, R. K. Saket and Baseem Khan. Their work appears in journals such as International Journal of Electrical Power & Energy Systems, Applied Soft Computing, Electric Power Systems Research, IEEE Access and Swarm and Evolutionary Computation.

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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