Nur Sarma

665 citations
27 papers · 443 · 1 hit paper · h-index 11

Impact in

Papers in

Nur Sarma

26 papers receiving 436 citations

Nur Sarma's Hit Papers

Short term load forecasting based on ARIMA and ANN approaches 2023 · 188 citations
1880+1+2Years since publication50100150

Peers

Nur Sarma
Comparison fields: 5 of 51
  • Control and Systems Engineering 187
  • Energy Engineering and Power Technology 20
  • Electrical and Electronic Engineering 304
  • Safety, Risk, Reliability and Quality 27
  • Management Science and Operations Research 36
Replace Bing Zeng with:
Bing Zeng China
Luoxiao Yang Hong Kong
Tomasz Sikorski Poland
Ali Deihimi Iran
Jingxuan Zhang China
Xiaodong Yu China
Md Nasmus Sakib Khan Shabbir Canada
Yanhui Qiao China
Shixi Ma China
Yi Ning China
Nur Sarma relative to Bing Zeng China Bing Zeng's profile →
Citations per field
00.5×3.3×
Bing Zeng · 1×
Citations per year

Countries citing papers authored by Nur Sarma

Since Specialization
Citations

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

Fields of papers citing papers by Nur Sarma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Nur Sarma, 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 Nur Sarma Line = papers co-authored together Nur Sarma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Short term load forecasting based on ARIMA and ANN approaches
Hit paper breakdown →
2023188
2 201852
3 202145
4 202222
5 201815
6 201913
7 202012
8 201612
9 201611
10 202011
11 202011
12 20177
13 20227
14 20166
15 20166
16 20184
17 20234
18 20153
19 20203
20 20183

About Nur Sarma

Nur Sarma is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Mechanical Engineering, Artificial Intelligence and Civil and Structural Engineering, having authored 27 papers that have together received 443 indexed citations. Recurring topics across this work include Machine Fault Diagnosis Techniques (13 papers), Wind Turbine Control Systems (8 papers), Electric Motor Design and Analysis (8 papers), Magnetic Bearings and Levitation Dynamics (6 papers), Multilevel Inverters and Converters (5 papers), Energy Load and Power Forecasting (3 papers), Solar Radiation and Photovoltaics (3 papers) and Sensorless Control of Electric Motors (3 papers). The work is most often cited by research in Control and Systems Engineering (187 citations), Energy Engineering and Power Technology (20 citations), Electrical and Electronic Engineering (304 citations), Safety, Risk, Reliability and Quality (27 citations) and Management Science and Operations Research (36 citations). Nur Sarma has collaborated with scholars based in United Kingdom, Türkiye and Montenegro. Frequent co-authors include Siniša Djurović, Okan Özgönenel, Cenk Gezegin, Anees Mohammed, Christopher Crabtree, P.J. Tavner, Donatella Zappalá, Tarek Berghout, Mohamed Benbouzid and Xiandong Ma. Their work appears in journals such as IEEE Transactions on Sustainable Energy, Energy Reports, IET Electric Power Applications, IEEE Sensors Journal and International Journal of Electrical Power & Energy Systems.

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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