Sheila Tejada
- Artificial Intelligence top 2%
- Management Science and Operations Research top 2%
- Information Systems top 2%
- Computer Networks and Communications top 5%
- Signal Processing top 5%
- Co-authors
- Steven MintonCraig A. KnoblockNaveen AshishIon MusleaJosé Luis AmbiteAndrew PhilpotGal A. KaminkaAndrew N. Marshall
- Topics
- Robotic Path Planning Algorithms (6 papers)Modular Robots and Swarm Intelligence (5 papers)Advanced Database Systems and Queries (5 papers)
- Partner nations
- United States
In The Last Decade
Sheila Tejada
24 papers receiving 749 citations
Peers
Comparison fields: 5 of 80
- Artificial Intelligence 552
- Management Science and Operations Research 366
- Information Systems 358
- Computer Networks and Communications 290
- Signal Processing 130
Countries citing papers authored by Sheila Tejada
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).
Fields of papers citing papers by Sheila Tejada
This network shows the impact of papers produced by Sheila Tejada. 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 Sheila Tejada. The network helps show where Sheila Tejada may publish in the future.
Co-authorship network of co-authors of Sheila Tejada
This figure shows the co-authorship network connecting the top 25 collaborators of Sheila Tejada. A scholar is included among the top collaborators of Sheila Tejada based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sheila Tejada. Sheila Tejada is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | Using artificial intelligence to help bridge students from high school to college | 1 |
| 3 | 42 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | Mixed-initiative interface for human, robot, agent collaboration in urban search and rescue teams | 1 |
| 7 | 5 | |
| 8 | Accessible hands-on artificial intelligence and robotics education : papers from the 2004 AAAI Symposium, March 22-24, Stanford, California | 1 |
| 9 | Virtual world as interface for human-robot interaction | 1 |
| 10 | Virtual Synergy: A Human-Robot Interface for Urban Search and Rescue | 9 |
| 11 | 85 | |
| 12 | 1 | |
| 13 | 7 | |
| 14 | 106 | |
| 15 | 197 | |
| 16 | Handling inconsistency for multi-source integration | 3 |
| 17 | Modeling Web sources for information integration | 123 |
| 18 | 4 | |
| 19 | 35 | |
| 20 | YODA: the young observant discovery agent | 4 |
About Sheila Tejada
Sheila Tejada is a scholar working on Computer Science Applications, Management Science and Operations Research and Artificial Intelligence, having authored 25 papers that have together received 889 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (6 papers), Modular Robots and Swarm Intelligence (5 papers) and Advanced Database Systems and Queries (5 papers). The work is most often cited by research in Management Science and Operations Research (366 citations), Artificial Intelligence (552 citations) and Information Systems (358 citations). Sheila Tejada has collaborated with scholars based in United States. Frequent co-authors include Steven Minton, Craig A. Knoblock, Naveen Ashish, Ion Muslea, José Luis Ambite, Andrew Philpot, Gal A. Kaminka, Andrew N. Marshall, Pragnesh Jay Modi and Manuela Veloso. Their work appears in journals such as Communications of the ACM, ACM SIGMOD Record and Information 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.