Laszlo Techy

505 citations
16 papers · 403 · h-index 9

Impact in

    • Robotics and Sensor-Based Localization
    • Guidance and Control Systems
    • Air Traffic Management and Optimization
    • Underwater Vehicles and Communication Systems

Papers in

Laszlo Techy

16 papers receiving 388 citations

Peers

Laszlo Techy
Comparison fields: 5 of 61
  • Aerospace Engineering 188
  • Ocean Engineering 114
  • Computer Vision and Pattern Recognition 153
  • Control and Systems Engineering 103
  • Computer Networks and Communications 86
Replace Naveena Crasta with:
Naveena Crasta Portugal
Sze Kim Pang United Kingdom
Filip Mandić Croatia
Tongwei Zhang China
Nicholas Lawrance Switzerland
Michail Kontitsis United States
Walter Caharija Norway
Jeffrey M. Walls United States
Nare Karapetyan United States
Eduard Vidal Spain
Laszlo Techy relative to Naveena Crasta Portugal Naveena Crasta's profile →
Citations per field
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Naveena Crasta · 1×
Citations per year

Countries citing papers authored by Laszlo Techy

Since Specialization
Citations

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

Fields of papers citing papers by Laszlo Techy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Laszlo Techy, 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 Laszlo Techy Line = papers co-authored together Laszlo Techy links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2009131
2 201060
3 200851
4 201135
5 201125
6 200824
7 201023
8 200913
9 201212
10 20107
11 20097
12 20074
13 20093
14 20093
15 20113
16 20222

About Laszlo Techy

Laszlo Techy is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Ecological Modeling, Control and Systems Engineering and Ocean Engineering, having authored 16 papers that have together received 403 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (6 papers), Guidance and Control Systems (4 papers), Distributed Control Multi-Agent Systems (4 papers), Underwater Vehicles and Communication Systems (3 papers), Spacecraft Dynamics and Control (2 papers), Plant Pathogens and Resistance (2 papers), Species Distribution and Climate Change (2 papers) and Control and Dynamics of Mobile Robots (2 papers). The work is most often cited by research in Aerospace Engineering (188 citations), Ocean Engineering (114 citations), Computer Vision and Pattern Recognition (153 citations), Control and Systems Engineering (103 citations) and Computer Networks and Communications (86 citations). Laszlo Techy has collaborated with scholars based in United States. Frequent co-authors include Craig A. Woolsey, David G. Schmale, Kristi A. Morgansen, Derek A. Paley, Artur Wolek, John A. Burns, Chevva Konda Reddy, Naira Hovakimyan, Chengyu Cao and Andy von Flotow. Their work appears in journals such as Journal of Guidance Control and Dynamics, Ocean Engineering, Journal of Field Robotics, SAE technical papers on CD-ROM/SAE technical paper series and Intelligent Service Robotics.

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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