William Webber
- Information Systems top 1%
- Information Retrieval and Search Behavior 22
- Web Data Mining and Analysis 8
- Artificial Intelligence top 2%
- Topic Modeling 13
- Machine Learning and Data Classification 4
- Text and Document Classification Technologies 4
- Natural Language Processing Techniques 4
- Algorithms and Data Compression 4
- Signal Processing top 5%
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- Data Quality and Management 7
- Co-authors
- Justin ZobelAlistair MoffatTimothy G. ArmstrongFalk ScholerRicardo Baeza‐YatesWan‐Ching WuDiane KellyLaurence A. F. Park
- Journals
- ACM Transactions on Information Systems (2 papers)Information Processing & Management (1 paper)Information Retrieval (1 paper)
- Partner nations
- AustraliaUnited StatesChile
In The Last Decade
William Webber
34 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Information Systems 615
- Artificial Intelligence 656
- Computer Science Applications 101
- Signal Processing 134
- Management Science and Operations Research 154
Countries citing papers authored by William Webber
This map shows the geographic impact of William Webber'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 William Webber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Webber more than expected).
Fields of papers citing papers by William Webber
This network shows the impact of papers produced by William Webber. 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 William Webber. The network helps show where William Webber may publish in the future.
Co-authorship network
The 25 scholars most cited alongside William Webber, 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 | Effects of Objective and Subjective Competence on the Reliability of Crowdsourced Relevance Judgments. | 2017 | 2 |
| 2 | 2015 | 9 | |
| 3 | 2014 | 9 | |
| 4 | 2013 | 12 | |
| 5 | 2013 | 9 | |
| 6 | 2013 | 12 | |
| 7 | 2012 | 12 | |
| 8 | The Melbourne Team at the TREC 2010 Legal Track. | 2010 | 2 |
| 9 | Evaluating the Effectiveness of Keyword Search. | 2010 | 12 |
| 10 | Relative significance is insufficient: Baselines matter too | 2009 | 2 |
| 11 | 2009 | 20 | |
| 12 | 2009 | 22 | |
| 13 | 2008 | 24 | |
| 14 | 2008 | 50 | |
| 15 | Score standardization for robust comparison of retrieval systems | 2007 | 1 |
| 16 | 2007 | 58 | |
| 17 | Melbourne University at the 2006 Terabyte Track | 2006 | 2 |
| 18 | Melbourne University 2005: Enterprise and Terabyte Tracks | 2005 | 1 |
| 19 | RMIT University at TREC 2005: Terabyte and Robust Track. | 2005 | 11 |
| 20 | RMIT University at TREC 2004 | 2004 | 7 |
About William Webber
William Webber is a scholar working on Information Systems, Artificial Intelligence, Management Science and Operations Research, Signal Processing and Computer Science Applications, having authored 35 papers that have together received 1.2k indexed citations. Recurring topics across this work include Information Retrieval and Search Behavior (22 papers), Topic Modeling (13 papers), Web Data Mining and Analysis (8 papers), Data Quality and Management (7 papers), Machine Learning and Data Classification (4 papers), Text and Document Classification Technologies (4 papers), Natural Language Processing Techniques (4 papers) and Algorithms and Data Compression (4 papers). The work is most often cited by research in Information Systems (615 citations), Artificial Intelligence (656 citations), Computer Science Applications (101 citations), Signal Processing (134 citations) and Management Science and Operations Research (154 citations). William Webber has collaborated with scholars based in Australia, United States and Chile. Frequent co-authors include Justin Zobel, Alistair Moffat, Timothy G. Armstrong, Falk Scholer, Ricardo Baeza‐Yates, Wan‐Ching Wu, Diane Kelly, Laurence A. F. Park, Mark Sanderson and Douglas W. Oard. Their work appears in journals such as ACM Transactions on Information Systems, Information Processing & Management, Information Retrieval, IEEE Data(base) Engineering Bulletin and RMIT Research Repository (RMIT University Library).
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.