Grace Lim

646 citations
8 papers · 357 · h-index 5

Impact in

    • Topic Modeling
    • Natural Language Processing Techniques
    • Semantic Web and Ontologies
    • Speech and dialogue systems
    • Advanced Text Analysis Techniques
    • AI-based Problem Solving and Planning
    • Mobile Crowdsensing and Crowdsourcing

Papers in

Grace Lim

7 papers receiving 314 citations

Peers

Grace Lim
Comparison fields: 5 of 60
  • Artificial Intelligence 277
  • Computer Science Applications 34
  • Computer Vision and Pattern Recognition 63
  • Information Systems and Management 15
  • Information Systems 42
Replace Alejandro Ramos-Soto with:
Alejandro Ramos-Soto Spain
Oddur Kjartansson United States
Michel Crampes France
Mengyu Zhou China
Hannah Kim United States
Fatemehsadat Mireshghallah United States
Sean Welleck United States
Tsuneaki Kato Japan
Albert Webson United States
Xiaoxue Zang China
Grace Lim relative to Alejandro Ramos-Soto Spain Alejandro Ramos-Soto's profile →
Citations per field
00.5×3.3×
Alejandro Ramos-Soto · 1×
Citations per year

Countries citing papers authored by Grace Lim

Since Specialization
Citations

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

Fields of papers citing papers by Grace Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2002328
2 202410
3 20217
4 20176
5 20204
6 20251
7
Using InSight's Robotic Arm Motion to Examine the Martian Regolith's Response to Short Period Vibrations
20201
8 20210

About Grace Lim

Grace Lim is a scholar working on Astronomy and Astrophysics, Aerospace Engineering, Computer Networks and Communications, Computer Vision and Pattern Recognition and Information Systems, having authored 8 papers that have together received 357 indexed citations. Recurring topics across this work include Planetary Science and Exploration (4 papers), Robotic Path Planning Algorithms (2 papers), Space Exploration and Technology (2 papers), Astro and Planetary Science (2 papers), Distributed systems and fault tolerance (2 papers), Robotics and Sensor-Based Localization (2 papers), Seismic Waves and Analysis (1 paper) and Spacecraft Design and Technology (1 paper). The work is most often cited by research in Artificial Intelligence (277 citations), Computer Science Applications (34 citations), Computer Vision and Pattern Recognition (63 citations), Information Systems and Management (15 citations) and Information Systems (42 citations). Grace Lim has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Thomas Lin, Push Singh, Erik T. Mueller, Chris Scrapper, Abhishek Cauligi, Federico Rossi, Gregg Rabideau, Jeff Delaune, Roland Brockers and Benjamin Morrell. Their work appears in journals such as Bulletin of the Seismological Society of America, Autonomous Robots, Lecture notes in computer science, Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE and Lunar and Planetary Science Conference.

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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