Matthew Lease
Impact in
- Computer Science Applications top 0.2%
- Mobile Crowdsensing and Crowdsourcing
- Open Source Software Innovations
- Software top 2%
- Software Testing and Debugging Techniques
Papers in
-
- Mobile Crowdsensing and Crowdsourcing 48
-
- Topic Modeling 33
- Data Stream Mining Techniques 20
- Natural Language Processing Techniques 17
- Speech and dialogue systems 9
- Co-authors
- Byron WallaceSarfraz KhurshidRipon K. SahaDewayne E. PerryAn NguyenEmine YılmazMücahid KutluTamer Elsayed
- Journals
- Proceedings of the American Society for Information Science and Technology (6 papers)ACM SIGIR Forum (3 papers)Journal of Artificial Intelligence Research (2 papers)AI Magazine (2 papers)Information Processing & Management (2 papers)
- Partner nations
- United StatesQatarUnited Kingdom
In The Last Decade
Matthew Lease
104 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Computer Science Applications 854
- Software 207
- Artificial Intelligence 1.3k
- Information Systems 762
- Health Informatics 25
Countries citing papers authored by Matthew Lease
This map shows the geographic impact of Matthew Lease'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 Matthew Lease with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Lease more than expected).
Fields of papers citing papers by Matthew Lease
This network shows the impact of papers produced by Matthew Lease. 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 Matthew Lease. The network helps show where Matthew Lease may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Matthew Lease, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 1 | |
| 5 | 2021 | 13 | |
| 6 | Mash: software tools for developing interactive and transparent machine learning systems. | 2019 | 3 |
| 7 | 2019 | 4 | |
| 8 | Toward Safer Crowdsourced Content Moderation. | 2018 | 1 |
| 9 | A correlated worker model for grouped, imbalanced and multitask data | 2016 | 2 |
| 10 | Crowdsourcing Information Extraction for Biomedical Systematic Reviews | 2016 | 0 |
| 11 | 2015 | 11 | |
| 12 | Improving quality of crowdsourced labels via probabilistic matrix factorization | 2012 | 28 |
| 13 | Overview of the TREC 2012 Crowdsourcing Track. | 2012 | 4 |
| 14 | On quality control and machine learning in crowdsourcing | 2011 | 80 |
| 15 | Improving consensus accuracy via Z-score and weighted voting | 2011 | 28 |
| 16 | 2011 | 38 | |
| 17 | Crowdsourcing Document Relevance Assessment with Mechanical Turk | 2010 | 94 |
| 18 | Incorporating Relevance and Pseudo-relevance Feedback in the Markov Random Field Model. | 2008 | 11 |
| 19 | Incorporating Relevance and Psuedo-relevance Feedback in the Markov Random Field Model: Brown at the TREC’08 Relevance Feedback Track | 2008 | 2 |
| 20 | Linguistic Resources for Speech Parsing | 2006 | 3 |
About Matthew Lease
Matthew Lease is a scholar working on Computer Science Applications, Artificial Intelligence, Information Systems, Management Science and Operations Research and Computer Vision and Pattern Recognition, having authored 106 papers that have together received 2.3k indexed citations. Recurring topics across this work include Mobile Crowdsensing and Crowdsourcing (48 papers), Topic Modeling (33 papers), Data Stream Mining Techniques (20 papers), Natural Language Processing Techniques (17 papers), Information Retrieval and Search Behavior (13 papers), Expert finding and Q&A systems (12 papers), Auction Theory and Applications (10 papers) and Speech and dialogue systems (9 papers). The work is most often cited by research in Computer Science Applications (854 citations), Software (207 citations), Artificial Intelligence (1.3k citations), Information Systems (762 citations) and Health Informatics (25 citations). Matthew Lease has collaborated with scholars based in United States, Qatar and United Kingdom. Frequent co-authors include Byron Wallace, Sarfraz Khurshid, Ripon K. Saha, Dewayne E. Perry, An Nguyen, Emine Yılmaz, Mücahid Kutlu, Tamer Elsayed, Tyler McDonnell and Mark Johnson. Their work appears in journals such as Proceedings of the American Society for Information Science and Technology, ACM SIGIR Forum, Journal of Artificial Intelligence Research, AI Magazine and Information Processing & Management.
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.