Ashish Kumar Shakya

560 citations
11 papers · 278 indexed · 1 hit paper · h-index 5
Topics
Energy Harvesting in Wireless Networks (3 papers)Fluid Dynamics Simulations and Interactions (3 papers)Underwater Vehicles and Communication Systems (3 papers)
Partner nations
IndiaNepal

In The Last Decade

Ashish Kumar Shakya

8 papers receiving 270 citations

Hit Papers

Reinforcement learning algorithms: A brief survey2023202620242025202350100150200

Peers

Ashish Kumar Shakya
Comparison fields: 5 of 78
  • Electrical and Electronic Engineering 82
  • Control and Systems Engineering 75
  • Artificial Intelligence 67
  • Aerospace Engineering 41
  • Computer Networks and Communications 33
Replace M. F. Ahmad with:
M. F. Ahmad Malaysia
Kuo-Hsien Hsia Taiwan
Bin Duan China
Mohammed Mestari Morocco
Abdallah Aldosary Saudi Arabia
Wenhuan Wu China
Adrián González Mexico
Abdullah A. Algethami Saudi Arabia
Vikas Pratap Singh India
Mokhtar Sha Sadeghi Iran
Ashish Kumar Shakya relative to M. F. Ahmad Malaysia M. F. Ahmad's profile →
Citations per field
00.5×
M. F. Ahmad · 1×
Citations per year

Countries citing papers authored by Ashish Kumar Shakya

Since Specialization
Citations

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

Fields of papers citing papers by Ashish Kumar Shakya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ashish Kumar Shakya. 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 Ashish Kumar Shakya. The network helps show where Ashish Kumar Shakya may publish in the future.

Co-authorship network of co-authors of Ashish Kumar Shakya

This figure shows the co-authorship network connecting the top 25 collaborators of Ashish Kumar Shakya. A scholar is included among the top collaborators of Ashish Kumar Shakya based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ashish Kumar Shakya. Ashish Kumar Shakya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
#WorkIndexed citations
1 0
2 0
3
Reinforcement learning algorithms: A brief surveybreakdown →
234
4 0
5 1
6 5
7 1
8 1
9 8
10 17
11 11

About Ashish Kumar Shakya

Ashish Kumar Shakya is a scholar working on Energy Engineering and Power Technology, Ocean Engineering and Control and Systems Engineering, having authored 11 papers that have together received 278 indexed citations. Recurring topics across this work include Energy Harvesting in Wireless Networks (3 papers), Fluid Dynamics Simulations and Interactions (3 papers) and Underwater Vehicles and Communication Systems (3 papers). The work is most often cited by research in Control and Systems Engineering (75 citations), Energy Engineering and Power Technology (7 citations) and Industrial and Manufacturing Engineering (22 citations). Ashish Kumar Shakya has collaborated with scholars based in India and Nepal. Frequent co-authors include G. N. Pillai, Sohom Chakrabarty, Satyendra Pratap Singh, Shailendra Singh, Leeladhar Malviya, Shailendra Singh, Satyendra Pratap Singh and Parul Gupta. Their work appears in journals such as Expert Systems with Applications and IFAC-PapersOnLine.

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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