Jaime Carbonell
- Artificial Intelligence top 2%
- Social Psychology top 10%
- Developmental and Educational Psychology top 5%
- Computer Science Applications top 2%
- Information Systems top 10%
- Co-authors
- Jerome I. ElkindRaymond S. NickersonJohn W. SendersJane WardCarl E. WilliamsEric E. UngarΚ. Ν. StevensSeungwhan Moon
- Topics
- Topic Modeling (5 papers)Natural Language Processing Techniques (3 papers)Social Robot Interaction and HRI (2 papers)
- Cited by
- Computer Science ApplicationsArtificial IntelligenceDevelopmental and Educational Psychology
- Partner nations
- United StatesUnited KingdomSouth Korea
In The Last Decade
Jaime Carbonell
20 papers receiving 856 citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Artificial Intelligence 602
- Social Psychology 163
- Developmental and Educational Psychology 155
- Computer Science Applications 152
- Information Systems 79
Countries citing papers authored by Jaime Carbonell
This map shows the geographic impact of Jaime Carbonell'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 Jaime Carbonell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaime Carbonell more than expected).
Fields of papers citing papers by Jaime Carbonell
This network shows the impact of papers produced by Jaime Carbonell. 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 Jaime Carbonell. The network helps show where Jaime Carbonell may publish in the future.
Co-authorship network of co-authors of Jaime Carbonell
This figure shows the co-authorship network connecting the top 25 collaborators of Jaime Carbonell. A scholar is included among the top collaborators of Jaime Carbonell 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 Jaime Carbonell. Jaime Carbonell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Transformer-XL: Language Modeling with Longer-Term Dependency | 15 |
| 2 | 6 | |
| 3 | 25 | |
| 4 | 35 | |
| 5 | 20 | |
| 6 | 11 | |
| 7 | 33 | |
| 8 | Natural Semantics in Artificial Intelligence | 52 |
| 9 | Artificial Intelligence and Large Interactive Man Computer Systems. | 5 |
| 10 | 3 | |
| 11 | AI in CAI: An Artificial-Intelligence Approach to Computer-Assisted Instructionbreakdown → | 484 |
| 12 | AI in CAI : An artificial intelligence approach to computer-assisted instruction | 1 |
| 13 | Human visual sampling processes - A simulation validation study | 4 |
| 14 | 57 | |
| 15 | 60 | |
| 16 | 51 | |
| 17 | 22 | |
| 18 | 27 | |
| 19 | 71 | |
| 20 | 0 |
About Jaime Carbonell
Jaime Carbonell is a scholar working on Artificial Intelligence, Information Systems and Management and Computer Science Applications, having authored 21 papers that have together received 1.0k indexed citations. Recurring topics across this work include Topic Modeling (5 papers), Natural Language Processing Techniques (3 papers) and Social Robot Interaction and HRI (2 papers). The work is most often cited by research in Computer Science Applications (152 citations), Artificial Intelligence (602 citations) and Developmental and Educational Psychology (155 citations). Jaime Carbonell has collaborated with scholars based in United States, United Kingdom and South Korea. Frequent co-authors include Jerome I. Elkind, Raymond S. Nickerson, John W. Senders, Jane Ward, Carl E. Williams, Eric E. Ungar, Κ. Ν. Stevens, Seungwhan Moon, Meghana Kshirsagar and Jill H. Larkin. Their work appears in journals such as The Journal of the Acoustical Society of America, PLoS Medicine and AIAA Journal.
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.