Adam Pearce
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition
- Information Systems
- Computational Theory and Mathematics
- Electrical and Electronic Engineering
- Co-authors
- Emily ReifBenjamín Sánchez-LengelingMartin WattenbergBeen KimAnn YuanFernanda ViégasAndy CoenenDavid N Naumann
- Topics
- Neural Networks and Applications (2 papers)Structural Health Monitoring Techniques (1 paper)Wind and Air Flow Studies (1 paper)
- Journals
- Proceedings of the National Academy of SciencesJournal of Performance of Constructed FacilitiesBMJ Military Health
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Adam Pearce
7 papers receiving 276 citations
Peers
Comparison fields: 5 of 100
- Artificial Intelligence 143
- Computer Vision and Pattern Recognition 42
- Information Systems 25
- Computational Theory and Mathematics 23
- Electrical and Electronic Engineering 23
Countries citing papers authored by Adam Pearce
This map shows the geographic impact of Adam Pearce'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 Adam Pearce with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adam Pearce more than expected).
Fields of papers citing papers by Adam Pearce
This network shows the impact of papers produced by Adam Pearce. 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 Adam Pearce. The network helps show where Adam Pearce may publish in the future.
Co-authorship network of co-authors of Adam Pearce
This figure shows the co-authorship network connecting the top 25 collaborators of Adam Pearce. A scholar is included among the top collaborators of Adam Pearce 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 Adam Pearce. Adam Pearce is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 51 | |
| 3 | 143 | |
| 4 | 24 | |
| 5 | Visualizing and Measuring the Geometry of BERT | 70 |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 0 |
About Adam Pearce
Adam Pearce is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Emergency Medical Services, having authored 8 papers that have together received 293 indexed citations. Recurring topics across this work include Neural Networks and Applications (2 papers), Structural Health Monitoring Techniques (1 paper) and Wind and Air Flow Studies (1 paper). The work is most often cited by research in Artificial Intelligence (143 citations), Computer Vision and Pattern Recognition (42 citations) and Health Informatics (2 citations). Adam Pearce has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Emily Reif, Benjamín Sánchez-Lengeling, Martin Wattenberg, Been Kim, Ann Yuan, Fernanda Viégas, Andy Coenen, David N Naumann, David O’Reilly and Andrei Kapishnikov. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Performance of Constructed Facilities and BMJ Military Health.
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.