Mayank Baranwal

663 citations
37 papers · 367 · h-index 9

Impact in

Papers in

Mayank Baranwal

35 papers receiving 357 citations

Peers

Mayank Baranwal
Comparison fields: 5 of 91
  • Computational Theory and Mathematics 69
  • Control and Systems Engineering 99
  • Energy Engineering and Power Technology 9
  • Management Information Systems 17
  • Molecular Biology 131
Replace Ticao Jiao with:
Ticao Jiao China
Stuart M. Harwood United States
Yongyi Yan China
Bernhard Bachmann Germany
Nicoletta Bof Italy
Rajashree Mishra India
Ekaterina Kostina Germany
Zhixiang Yin China
Juan Carlos Seck-Tuoh-Mora Mexico
Mayank Baranwal relative to Ticao Jiao China Ticao Jiao's profile →
Citations per field
00.5×4.3×
Ticao Jiao · 1×
Citations per year

Countries citing papers authored by Mayank Baranwal

Since Specialization
Citations

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

Fields of papers citing papers by Mayank Baranwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201976
2 201857
3 202239
4 202237
5 202121
6 202219
7 201916
8 202014
9 20178
10 20207
11 20217
12 20227
13 20116
14 20235
15 20165
16 20175
17 20214
18 20233
19 20173
20 20223

About Mayank Baranwal

Mayank Baranwal is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering, Artificial Intelligence, Molecular Biology and Computational Theory and Mathematics, having authored 37 papers that have together received 367 indexed citations. Recurring topics across this work include Microgrid Control and Optimization (4 papers), Smart Grid Energy Management (4 papers), Power System Optimization and Stability (3 papers), Sparse and Compressive Sensing Techniques (3 papers), Computational Drug Discovery Methods (3 papers), Force Microscopy Techniques and Applications (3 papers), Piezoelectric Actuators and Control (3 papers) and Microbial Metabolic Engineering and Bioproduction (3 papers). The work is most often cited by research in Computational Theory and Mathematics (69 citations), Control and Systems Engineering (99 citations), Energy Engineering and Power Technology (9 citations), Management Information Systems (17 citations) and Molecular Biology (131 citations). Mayank Baranwal has collaborated with scholars based in United States, India and South Korea. Frequent co-authors include Srinivasa M. Salapaka, Alfred O. Hero, Paolo Elvati, Angela Violi, Abram Magner, Murti V. Salapaka, Kunal Garg, Ryan L. Clark, Jaron Thompson and Ophelia S. Venturelli. Their work appears in journals such as IEEE Transactions on Automatic Control, Bioinformatics, Computers & Chemical Engineering, Fuel and Review of Scientific Instruments.

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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