Shruti Singh

886 citations
63 papers · 663 · h-index 13

Impact in

Papers in

Shruti Singh

55 papers receiving 623 citations

Peers

Shruti Singh
Comparison fields: 5 of 116
  • Artificial Intelligence 211
  • Control and Systems Engineering 130
  • Computer Vision and Pattern Recognition 116
  • Energy Engineering and Power Technology 16
  • Electrical and Electronic Engineering 187
Replace M. A. Ansari with:
M. A. Ansari India
Chao Ren China
Halis Altun Türkiye
Ying Yan China
Anna Diva P. Lotufo Brazil
Md. Saiful Islam Bangladesh
Carlos R. Minussi Brazil
Jundong Zhang China
Zixin Wang China
Hua Chai China
Shruti Singh relative to M. A. Ansari India M. A. Ansari's profile →
Citations per field
00.5×1.5×2.3×
M. A. Ansari · 1×
Citations per year

Countries citing papers authored by Shruti Singh

Since Specialization
Citations

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

Fields of papers citing papers by Shruti Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Shruti Singh, 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 Shruti Singh Line = papers co-authored together Shruti Singh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018119
2 200661
3 201758
4 201745
5 201844
6 200635
7 201224
8 201724
9 200521
10 201118
11 202115
12 201713
13 198812
14 202110
15 201110
16 201210
17 201110
18 20148
19 20048
20 20208

About Shruti Singh

Shruti Singh is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 63 papers that have together received 663 indexed citations. Recurring topics across this work include Microgrid Control and Optimization (7 papers), Electric Motor Design and Analysis (5 papers), Control Systems and Identification (4 papers), Topic Modeling (4 papers), Sensorless Control of Electric Motors (4 papers), Fault Detection and Control Systems (3 papers), Advanced Battery Technologies Research (3 papers) and Advanced Control Systems Optimization (3 papers). The work is most often cited by research in Artificial Intelligence (211 citations), Control and Systems Engineering (130 citations), Computer Vision and Pattern Recognition (116 citations), Energy Engineering and Power Technology (16 citations) and Electrical and Electronic Engineering (187 citations). Shruti Singh has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Nand Kishor, Suneeta Agarwal, Lara J. Martin, Mark Riedl, Prithviraj Ammanabrolu, William S. Hancock, Brent Harrison, Xinyu Wang, Ajay Singh Raghuvanshi and Gitanjali Mehta. Their work appears in journals such as IEEE Transactions on Automatic Control, Neural Computing and Applications, Expert Systems with Applications, Energy Conversion and Management and Data in Brief.

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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