INESC TEC

8.8k papers receiving 140.7k citations

Peers

INESC TEC
Comparison fields: 5 of 245
  • Industrial and Manufacturing Engineering 10.5k
  • Control and Systems Engineering 22.3k
  • Energy Engineering and Power Technology 2.8k
  • Artificial Intelligence 24.5k
  • Computer Vision and Pattern Recognition 15.1k
Replace Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento with:
Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento Portugal
Institute for Systems Engineering and Computers Portugal
Polytechnic Institute of Porto Portugal
Instituto de Telecomunicações Portugal
Tecnalia Spain
Universidad de Deusto Spain
Polytechnic Institute of Coimbra Portugal
École Centrale de Nantes France
IMT Atlantique France
Institute of Mechanical Engineering and Industrial Mangement Portugal
INESC TEC relative to Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento Portugal Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento's profile →
Citations per field
00.5×1.5×1.9×
Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento · 1×
Citations per year

Countries citing scholars working at INESC TEC

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at INESC TEC. 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 papers produced at INESC TEC with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites INESC TEC more than expected).

Fields of papers published by authors at INESC TEC

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with INESC TEC at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with INESC TEC at the time of their publication.

About INESC TEC

In recent decades, authors affiliated with INESC TEC have published 9.9k papers, which have received a total of 146.6k indexed citations . Scholars at this organization have produced 648 papers in Industrial and Manufacturing Engineering, 1.3k papers in Computer Vision and Pattern Recognition, 354 papers in Human-Computer Interaction, 240 papers in Software and 1.2k papers in Control and Systems Engineering on the topics of Smart Grid Energy Management (698 papers), Microgrid Control and Optimization (409 papers), Electric Power System Optimization (389 papers), Optimal Power Flow Distribution (375 papers), Robotics and Sensor-Based Localization (348 papers), Underwater Vehicles and Communication Systems (287 papers), Electric Vehicles and Infrastructure (278 papers) and Robotic Path Planning Algorithms (250 papers). Their work is cited by papers focused on Industrial and Manufacturing Engineering (10.5k citations), Control and Systems Engineering (22.3k citations), Energy Engineering and Power Technology (2.8k citations), Artificial Intelligence (24.5k citations) and Computer Vision and Pattern Recognition (15.1k citations). Authors at INESC TEC collaborate with scholars in Portugal, Brazil and United States and have published in prestigious journals including Sensors, IEEE Access, Lecture notes in computer science, Applied Sciences and International Journal of Electrical Power & Energy Systems. Some of INESC TEC's most productive authors include João P. S. Catalào, Miadreza Shafie‐khah, Jaime S. Cardoso, João Gama, Carlos Silvestre, A. Pascoal, Ricardo J. Bessa, Fernando Almeida, Mohammad Sadegh Javadi and Lia Patrício.

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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