Kevin Small
- Artificial Intelligence top 2%
- Statistics, Probability and Uncertainty top 2%
- Molecular Biology
- Information Systems top 5%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Thomas A TrikalinosByron WallaceCarla E. BrodleyJoseph LauDan RothAlexandre KlementievChristopher H. SchmidIvan Titov
- Topics
- Topic Modeling (13 papers)Machine Learning and Algorithms (11 papers)Natural Language Processing Techniques (10 papers)
- Partner nations
- United StatesGermanySweden
In The Last Decade
Kevin Small
33 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 165
- Artificial Intelligence 526
- Statistics, Probability and Uncertainty 145
- Molecular Biology 128
- Information Systems 122
- Computer Vision and Pattern Recognition 77
Countries citing papers authored by Kevin Small
This map shows the geographic impact of Kevin Small'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 Kevin Small with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin Small more than expected).
Fields of papers citing papers by Kevin Small
This network shows the impact of papers produced by Kevin Small. 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 Kevin Small. The network helps show where Kevin Small may publish in the future.
Co-authorship network of co-authors of Kevin Small
This figure shows the co-authorship network connecting the top 25 collaborators of Kevin Small. A scholar is included among the top collaborators of Kevin Small 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 Kevin Small. Kevin Small is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 12 | |
| 3 | Evaluating Practices and Developing Tools for Comparative Effectiveness Reviews of Diagnostic Test Accuracy | 1 |
| 4 | 47 | |
| 5 | 20 | |
| 6 | The Constrained Weight Space SVM: Learning with Ranked Features | 28 |
| 7 | 46 | |
| 8 | Object Search: Supporting Structured Queries in Web Search Engines | 2 |
| 9 | Proceedings of the NAACL HLT 2010 Workshop on Active Learning for Natural Language Processing | 22 |
| 10 | Unsupervised Aggregation for Classification Problems with Large Numbers of Categories | 1 |
| 11 | Unsupervised rank aggregation with domain-specific expertise | 27 |
| 12 | Relation Alignment for Textual Entailment Recognition. | 21 |
| 13 | Sequential Learning of Classifiers for Structured Prediction Problems | 10 |
| 14 | Interactive learning protocols for natural language applications | 1 |
| 15 | 17 | |
| 16 | Active learning for pipeline models | 9 |
| 17 | All links are not the same: evaluating word alignments for statistical machine translation | 3 |
| 18 | Question-Answering via Enhanced Understanding of Questions. | 15 |
| 19 | 5 | |
| 20 | 11 |
About Kevin Small
Kevin Small is a scholar working on Artificial Intelligence, Statistics, Probability and Uncertainty and Statistics and Probability, having authored 34 papers that have together received 1.1k indexed citations. Recurring topics across this work include Topic Modeling (13 papers), Machine Learning and Algorithms (11 papers) and Natural Language Processing Techniques (10 papers). The work is most often cited by research in Health Informatics (30 citations), Statistics, Probability and Uncertainty (145 citations) and Artificial Intelligence (526 citations). Kevin Small has collaborated with scholars based in United States, Germany and Sweden. Frequent co-authors include Thomas A Trikalinos, Byron Wallace, Carla E. Brodley, Joseph Lau, Dan Roth, Alexandre Klementiev, Christopher H. Schmid, Ivan Titov, Xin Li and Burr Settles. Their work appears in journals such as Nucleic Acids Research, Journal of Machine Learning Research and Genetics in Medicine.
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.