Lance Riedel
Impact in
- Marketing top 5%
- Consumer Market Behavior and Pricing
- Information Systems top 2%
- Web Data Mining and Analysis
- Recommender Systems and Techniques
- Information Retrieval and Search Behavior
Papers in
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- Web Data Mining and Analysis 7
- Information Retrieval and Search Behavior 4
- Recommender Systems and Techniques 3
- Spam and Phishing Detection 2
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- Advanced Text Analysis Techniques 1
- Co-authors
- Andrei Broder (8 shared papers)Vanja Josifovski (8 shared papers)Marcus Fontoura (3 shared papers)Evgeniy Gabrilovich (7 shared papers)Filip Radlinski (2 shared papers)Aris Anagnostopoulos (2 shared papers)Donald Metzler (1 shared paper)Amruta Joshi (1 shared paper)
- Journals
- ACM Transactions on the Web (1 paper)ACM Transactions on Intelligent Systems and Technology (1 paper)IRIS Research product catalog (Sapienza University of Rome) (1 paper)
- Partner nations
- United StatesBrazilItaly
In The Last Decade
Lance Riedel
8 papers receiving 460 citations
Peers
Comparison fields: 5 of 41
- Marketing 133
- Information Systems 312
- Artificial Intelligence 204
- Management Science and Operations Research 77
- Signal Processing 50
Countries citing papers authored by Lance Riedel
This map shows the geographic impact of Lance Riedel'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 Lance Riedel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lance Riedel more than expected).
Fields of papers citing papers by Lance Riedel
This network shows the impact of papers produced by Lance Riedel. 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 Lance Riedel. The network helps show where Lance Riedel may publish in the future.
Co-authors
The 9 scholars most cited alongside Lance Riedel, 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 | 2007 | 202 | |
| 2 | 2009 | 74 | |
| 3 | 2008 | 72 | |
| 4 | 2008 | 64 | |
| 5 | 2007 | 44 | |
| 6 | 2009 | 32 | |
| 7 | 2011 | 11 | |
| 8 | Optimizing relevance and revenue in ad search | 2008 | 1 |
About Lance Riedel
Lance Riedel is a scholar working on Information Systems, Artificial Intelligence, Computer Networks and Communications, Marketing and Signal Processing, having authored 8 papers that have together received 500 indexed citations. Recurring topics across this work include Web Data Mining and Analysis (7 papers), Information Retrieval and Search Behavior (4 papers), Recommender Systems and Techniques (3 papers), Spam and Phishing Detection (2 papers), Caching and Content Delivery (2 papers), Consumer Market Behavior and Pricing (2 papers), Advanced Text Analysis Techniques (1 paper) and Data Management and Algorithms (1 paper). The work is most often cited by research in Marketing (133 citations), Information Systems (312 citations), Artificial Intelligence (204 citations), Management Science and Operations Research (77 citations) and Signal Processing (50 citations). Lance Riedel has collaborated with scholars based in United States, Brazil and Italy. Frequent co-authors include Andrei Broder, Vanja Josifovski, Marcus Fontoura, Evgeniy Gabrilovich, Filip Radlinski, Aris Anagnostopoulos, Donald Metzler, Amruta Joshi and Tong Zhang. Their work appears in journals such as ACM Transactions on the Web, ACM Transactions on Intelligent Systems and Technology and IRIS Research product catalog (Sapienza University of Rome).
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.