Aryan Deshwal

19 papers receiving 333 citations

Peers

Aryan Deshwal
Comparison fields: 5 of 65
  • Computational Theory and Mathematics 118
  • Hardware and Architecture 27
  • Management Science and Operations Research 43
  • Artificial Intelligence 105
  • Inorganic Chemistry 44
Replace Syrine Belakaria with:
Syrine Belakaria United States
Yuzong Liu United States
Zhao-Qian Chen China
Qingying Deng China
Stefano Pastore Italy
Wenlong Lyu China
Xining Li China
Qinghua Su China
Guoqiang Shu China
Mahboobeh Houshmand Iran
Aryan Deshwal relative to Syrine Belakaria United States Syrine Belakaria's profile →
Citations per field
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Citations per year

Countries citing papers authored by Aryan Deshwal

Since Specialization
Citations

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

Fields of papers citing papers by Aryan Deshwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202174
2
Max-value Entropy Search for Multi-Objective Bayesian Optimization
201947
3 202039
4 202329
5 202026
6 202025
7 201922
8 202013
9 202110
10 202210
11 20249
12 20219
13 20219
14 20194
15 20193
16 20192
17 20232
18 20242
19 20191
20 20250

About Aryan Deshwal

Aryan Deshwal is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Computational Theory and Mathematics, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 21 papers that have together received 336 indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (6 papers), Interconnection Networks and Systems (4 papers), Advanced Bandit Algorithms Research (3 papers), Metal-Organic Frameworks: Synthesis and Applications (2 papers), Advanced Memory and Neural Computing (2 papers), Machine Learning and Algorithms (2 papers), Natural Language Processing Techniques (2 papers) and Advanced Neural Network Applications (2 papers). The work is most often cited by research in Computational Theory and Mathematics (118 citations), Hardware and Architecture (27 citations), Management Science and Operations Research (43 citations), Artificial Intelligence (105 citations) and Inorganic Chemistry (44 citations). Aryan Deshwal has collaborated with scholars based in United States. Frequent co-authors include Janardhan Rao Doppa, Syrine Belakaria, Cory M. Simon, Partha Pratim Pande, Biresh Kumar Joardar, Dae Hyun Kim, Krishnendu Chakrabarty, Zhiyuan Zhou, Dan Roth and Deukhyoun Heo. Their work appears in journals such as ACM Transactions on Embedded Computing Systems, Advanced Materials Technologies, Journal of Artificial Intelligence Research, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems and ACM Transactions on Design Automation of Electronic 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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