Maxim Tyan

580 citations
39 papers · 413 · h-index 11

Impact in

Papers in

Maxim Tyan

34 papers receiving 395 citations

Peers

Maxim Tyan
Comparison fields: 5 of 50
  • Statistics, Probability and Uncertainty 80
  • Aerospace Engineering 199
  • Computational Theory and Mathematics 95
  • Global and Planetary Change 118
  • Automotive Engineering 63
Replace Jae-Woo Lee with:
Jae-Woo Lee South Korea
Nhu Van Nguyen South Korea
Jae-Woo Lee South Korea
Mark Voskuijl Netherlands
Bret A. Naylor United States
Kenneth Moore United States
W. MASON United States
Frank Thielecke Germany
Lawrence Green United States
Christophe Tribes Canada
Maxim Tyan relative to Jae-Woo Lee South Korea Jae-Woo Lee's profile →
Citations per field
00.5×1.5×2.3×
Jae-Woo Lee · 1×
Citations per year

Countries citing papers authored by Maxim Tyan

Since Specialization
Citations

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

Fields of papers citing papers by Maxim Tyan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Maxim Tyan, 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 Maxim Tyan Line = papers co-authored together Maxim Tyan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201773
2 201448
3 202134
4 201430
5 202229
6 202019
7 201518
8 201517
9 201515
10 202213
11 201611
12 201810
13 20199
14 20178
15 20227
16 20147
17 20167
18 20236
19 20126
20 20166

About Maxim Tyan

Maxim Tyan is a scholar working on Aerospace Engineering, Global and Planetary Change, Computational Theory and Mathematics, Statistics, Probability and Uncertainty and Computational Mechanics, having authored 39 papers that have together received 413 indexed citations. Recurring topics across this work include Advanced Aircraft Design and Technologies (17 papers), Advanced Multi-Objective Optimization Algorithms (13 papers), Probabilistic and Robust Engineering Design (11 papers), Aerospace and Aviation Technology (10 papers), Computational Fluid Dynamics and Aerodynamics (8 papers), Air Traffic Management and Optimization (5 papers), Advanced Battery Technologies Research (4 papers) and Advanced Combustion Engine Technologies (3 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (80 citations), Aerospace Engineering (199 citations), Computational Theory and Mathematics (95 citations), Global and Planetary Change (118 citations) and Automotive Engineering (63 citations). Maxim Tyan has collaborated with scholars based in South Korea, Germany and Brazil. Frequent co-authors include Jae-Woo Lee, Nhu Van Nguyen, Sangho Kim, Jae-Woo Lee, Tuấn Anh Nguyễn, Jaehyun An, Seong Tae Kim, JW Lee, Sangho Kim and Francisco Airton Silva. Their work appears in journals such as The Aeronautical Journal, Chinese Journal of Aeronautics, IEEE Transactions on Transportation Electrification, Aerospace Science and Technology and Journal of Intelligent & Robotic 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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