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
-
- Topic Modeling 33
- Data Stream Mining Techniques 20
- Natural Language Processing Techniques 17
- Speech and dialogue systems 9
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- Mobile Crowdsensing and Crowdsourcing 48
- Co-authors
- Byron Wallace (12 shared papers)Dewayne E. Perry (1 shared paper)Sarfraz Khurshid (1 shared paper)Ripon K. Saha (1 shared paper)An Nguyen (10 shared papers)Mücahid Kutlu (9 shared papers)Emine Yılmaz (6 shared papers)Tamer Elsayed (8 shared papers)
- Journals
- Proceedings of the American Society for Information Science and Technology (6 papers)ACM SIGIR Forum (3 papers)AI Magazine (2 papers)Journal of Artificial Intelligence Research (2 papers)Information Retrieval (2 papers)
- Partner nations
- United StatesQatarUnited Kingdom
In The Last Decade
Matthew Lease
106 papers receiving 2.2k citations
Matthew Lease's Hit Papers
Peers
Comparison fields: 5 of 100
- Computer Science Applications 856
- Software 210
- Artificial Intelligence 1.3k
- Information Systems 767
- Management Science and Operations Research 222
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-authors
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
Showing the 20 most-cited of 108 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Improving bug localization using structured information retrieval Hit paper breakdown → | 2013 | 279 |
| 2 | 2013 | 136 | |
| 3 | 2021 | 109 | |
| 4 | Crowdsourcing Document Relevance Assessment with Mechanical Turk | 2010 | 94 |
| 5 | On quality control and machine learning in crowdsourcing | 2011 | 81 |
| 6 | 2017 | 77 | |
| 7 | 2012 | 73 | |
| 8 | 2017 | 63 | |
| 9 | 2018 | 63 | |
| 10 | 2016 | 61 | |
| 11 | Semi-Supervised Consensus Labeling for Crowdsourcing | 2011 | 59 |
| 12 | 2013 | 53 | |
| 13 | 2015 | 48 | |
| 14 | 2017 | 46 | |
| 15 | 2011 | 42 | |
| 16 | 2022 | 40 | |
| 17 | 2011 | 38 | |
| 18 | 2005 | 38 | |
| 19 | 2012 | 34 | |
| 20 | 2009 | 34 |
About Matthew Lease
Matthew Lease is a scholar working on Artificial Intelligence, Computer Science Applications, Information Systems, Management Science and Operations Research and Computer Vision and Pattern Recognition, having authored 108 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 (856 citations), Software (210 citations), Artificial Intelligence (1.3k citations), Information Systems (767 citations) and Management Science and Operations Research (222 citations). Matthew Lease has collaborated with scholars based in United States, Qatar and United Kingdom. Frequent co-authors include Byron Wallace, Dewayne E. Perry, Sarfraz Khurshid, Ripon K. Saha, An Nguyen, Mücahid Kutlu, Emine Yılmaz, 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, AI Magazine, Journal of Artificial Intelligence Research and Information Retrieval.
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.