Falk Scholer
- Information Systems top 0.5%
- Information Retrieval and Search Behavior 92
- Expert finding and Q&A systems 41
- Web Data Mining and Analysis 19
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- Mobile Crowdsensing and Crowdsourcing 15
- Artificial Intelligence top 1%
- Topic Modeling 61
- Natural Language Processing Techniques 21
- Semantic Web and Ontologies 17
- Algorithms and Data Compression 14
- Signal Processing top 2%
- Co-authors
- Andrew TurpinPaul ThomasAlistair MoffatJustin ZobelMark SandersonHugh WilliamsPeter BaileySarvnaz Karimi
- Journals
- ACM Transactions on Information Systems (5 papers)Information Processing & Management (3 papers)ACM SIGIR Forum (3 papers)
- Partner nations
- AustraliaUnited StatesItaly
In The Last Decade
Falk Scholer
147 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 107
- Information Systems 1.3k
- Computer Science Applications 261
- Artificial Intelligence 1.3k
- Signal Processing 336
- Information Systems and Management 122
Countries citing papers authored by Falk Scholer
This map shows the geographic impact of Falk Scholer'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 Falk Scholer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Falk Scholer more than expected).
Fields of papers citing papers by Falk Scholer
This network shows the impact of papers produced by Falk Scholer. 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 Falk Scholer. The network helps show where Falk Scholer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Falk Scholer, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 7 | |
| 4 | 2023 | 6 | |
| 5 | 2023 | 1 | |
| 6 | 2022 | 4 | |
| 7 | 2021 | 1 | |
| 8 | 2021 | 17 | |
| 9 | 2021 | 43 | |
| 10 | Building a Benchmark for Task Progress in Digital Assistants | 2019 | 2 |
| 11 | Understanding user behavior in job and talent search: an initial investigation | 2017 | 10 |
| 12 | Observing users to validate models | 2013 | 1 |
| 13 | Evaluating the effectiveness of visual summaries for web search | 2010 | 3 |
| 14 | RMIT University at TREC 2010: Session Track. | 2010 | 3 |
| 15 | A comparative study of probabilistic and language models for information retrieval | 2008 | 12 |
| 16 | A comparison of evaluation measures given how users perform on search tasks | 2007 | 8 |
| 17 | Corpus Effects on the Evaluation of Automated Transliteration Systems | 2007 | 8 |
| 18 | RMIT University at TREC 2008: Enterprise Track | 2007 | 1 |
| 19 | Examining the pseudo-standard web search engine results page | 2006 | 4 |
| 20 | RMIT University at TREC 2005: Terabyte and Robust Track. | 2005 | 11 |
About Falk Scholer
Falk Scholer is a scholar working on Information Systems, Artificial Intelligence, Computer Science Applications, Information Systems and Management and Signal Processing, having authored 153 papers that have together received 2.3k indexed citations. Recurring topics across this work include Information Retrieval and Search Behavior (92 papers), Topic Modeling (61 papers), Expert finding and Q&A systems (41 papers), Natural Language Processing Techniques (21 papers), Web Data Mining and Analysis (19 papers), Semantic Web and Ontologies (17 papers), Mobile Crowdsensing and Crowdsourcing (15 papers) and Algorithms and Data Compression (14 papers). The work is most often cited by research in Information Systems (1.3k citations), Computer Science Applications (261 citations), Artificial Intelligence (1.3k citations), Signal Processing (336 citations) and Information Systems and Management (122 citations). Falk Scholer has collaborated with scholars based in Australia, United States and Italy. Frequent co-authors include Andrew Turpin, Paul Thomas, Alistair Moffat, Justin Zobel, Mark Sanderson, Hugh Williams, Peter Bailey, Sarvnaz Karimi, Stefano Mizzaro and J. Shane Culpepper. Their work appears in journals such as ACM Transactions on Information Systems, Information Processing & Management, ACM SIGIR Forum, Information Retrieval and Journal of the Association for Information Science and Technology.
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.