Sheila Tejada

18 papers and 343 indexed citations i.

About

Sheila Tejada is a scholar working on Artificial Intelligence, Mechanical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sheila Tejada has authored 18 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 5 papers in Mechanical Engineering and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Sheila Tejada’s work include Robotic Path Planning Algorithms (5 papers), Modular Robots and Swarm Intelligence (4 papers) and Advanced Database Systems and Queries (4 papers). Sheila Tejada is often cited by papers focused on Robotic Path Planning Algorithms (5 papers), Modular Robots and Swarm Intelligence (4 papers) and Advanced Database Systems and Queries (4 papers). Sheila Tejada collaborates with scholars based in United States. Sheila Tejada's co-authors include Steven Minton, Craig A. Knoblock, José Luis Ambite, Naveen Ashish, Andrew Philpot, Ion Muslea, Pragnesh Jay Modi, Gal A. Kaminka, Manuela Veloso and Andrew N. Marshall and has published in prestigious journals such as Communications of the ACM, ACM SIGMOD Record and AI Magazine.

In The Last Decade

Co-authorship network of co-authors of Sheila Tejada i

Fields of papers citing papers by Sheila Tejada

Since Specialization
EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by Sheila Tejada. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Sheila Tejada may publish in the future.

Countries citing papers authored by Sheila Tejada

Since Specialization
Citations

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

Rankless by CCL
2025