Morteza Lahijanian

1.7k citations
67 papers · 980 indexed · h-index 17

Morteza Lahijanian

63 papers receiving 962 citations

Peers

Morteza Lahijanian
Comparison fields: 5 of 60
  • Software 220
  • Computational Theory and Mathematics 548
  • Computer Vision and Pattern Recognition 357
  • Artificial Intelligence 499
  • Hardware and Architecture 57
Replace Vasumathi Raman with:
Vasumathi Raman United States
Jana Tůmová Sweden
Marius Kloetzer Romania
Xu Chu Ding United States
Houssam Abbas United States
Meng Guo Sweden
Ebru Aydın Göl Türkiye
Håkan L. S. Younes United States
Martin Fränzle Germany
James Kurien United States
Morteza Lahijanian relative to Vasumathi Raman United States Vasumathi Raman's profile →
Citations per field
00.5×1.5×1.8×
Vasumathi Raman · 1×
Citations per year

Countries citing papers authored by Morteza Lahijanian

Since Specialization
Citations

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

Fields of papers citing papers by Morteza Lahijanian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20251
3 20240
4 20240
5 20242
6 20244
7 20240
8 20233
9 20233
10 20232
11 20231
12 20225
13
Online Mapping and Motion Planning Under Uncertainty for Safe Navigation in Unknown Environments
202221
14 20225
15 20222
16 20212
17 20209
18
Social Trust: a major challenge for the future of autonomous systems
201612
19 20145
20 20115

About Morteza Lahijanian

Morteza Lahijanian is a scholar working on Software, Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering, having authored 67 papers that have together received 980 indexed citations. Recurring topics across this work include Formal Methods in Verification (32 papers), Robotic Path Planning Algorithms (31 papers), AI-based Problem Solving and Planning (16 papers), Model-Driven Software Engineering Techniques (8 papers), Fault Detection and Control Systems (8 papers), Reinforcement Learning in Robotics (8 papers), Advanced Control Systems Optimization (5 papers) and Modular Robots and Swarm Intelligence (4 papers). The work is most often cited by research in Software (220 citations), Computational Theory and Mathematics (548 citations), Computer Vision and Pattern Recognition (357 citations), Artificial Intelligence (499 citations) and Hardware and Architecture (57 citations). Morteza Lahijanian has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Călin Belta, Sean B. Andersson, Lydia E. Kavraki, Moshe Y. Vardi, Hadas Kress‐Gazit, Vasumathi Raman, Marta Kwiatkowska, Shaull Almagor, Dror Fried and Jerzy Waśniewski. Their work appears in journals such as IEEE Robotics and Automation Letters, IEEE Transactions on Automatic Control, IEEE Transactions on Robotics, IEEE Control Systems Letters and The International Journal of Robotics Research.

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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