Daniel E. Rose
- Information Systems top 1%
- Information Retrieval and Search Behavior 6
- Web Data Mining and Analysis 5
- Expert finding and Q&A systems 3
- Recommender Systems and Techniques 2
- Artificial Intelligence top 5%
- Advanced Text Analysis Techniques 2
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- Personal Information Management and User Behavior 2
- Signal Processing top 5%
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- Caching and Content Delivery 3
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- Artificial Intelligence in Law 3
- Co-authors
- Omar AlonsoBenjamin StewartRichard K. BelewAlexander A. StepanovRichard ManderDulce Ponceleón
- Journals
- Interacting with Computers (1 paper)Artificial Intelligence (1 paper)ACM SIGIR Forum (1 paper)
- Partner nations
- United StatesGermanyIsrael
In The Last Decade
Daniel E. Rose
16 papers receiving 978 citations
Hit Papers
Peers
Comparison fields: 5 of 70
- Computer Science Applications 234
- Information Systems 641
- Artificial Intelligence 472
- Information Systems and Management 89
- Signal Processing 108
Countries citing papers authored by Daniel E. Rose
This map shows the geographic impact of Daniel E. Rose'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 Daniel E. Rose with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel E. Rose more than expected).
Fields of papers citing papers by Daniel E. Rose
This network shows the impact of papers produced by Daniel E. Rose. 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 Daniel E. Rose. The network helps show where Daniel E. Rose may publish in the future.
Co-authorship network
The 6 scholars most cited alongside Daniel E. Rose, 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 | From Mathematics to Generic Programming | 2014 | 14 |
| 2 | 2013 | 1 | |
| 3 | 2012 | 2 | |
| 4 | 2011 | 50 | |
| 5 | 2008 | 1 | |
| 6 | 2008 | 231 | |
| 7 | 2007 | 13 | |
| 8 | 2006 | 15 | |
| 9 | Why is web search so hard... to evaluate | 2004 | 3 |
| 10 | Understanding user goals in web searchbreakdown → | 2004 | 617 |
| 11 | 1998 | 1 | |
| 12 | 1998 | 1 | |
| 13 | V-Twin: A Lightweight Engine for Interactive Use. | 1996 | 18 |
| 14 | 1995 | 4 | |
| 15 | 1993 | 26 | |
| 16 | 1993 | 1 | |
| 17 | 1991 | 41 | |
| 18 | 1989 | 36 |
About Daniel E. Rose
Daniel E. Rose is a scholar working on Information Systems, Information Systems and Management and Artificial Intelligence, having authored 18 papers that have together received 1.1k indexed citations. Recurring topics across this work include Information Retrieval and Search Behavior (6 papers), Web Data Mining and Analysis (5 papers), Expert finding and Q&A systems (3 papers), Caching and Content Delivery (3 papers), Artificial Intelligence in Law (3 papers), Personal Information Management and User Behavior (2 papers), Recommender Systems and Techniques (2 papers) and Advanced Text Analysis Techniques (2 papers). The work is most often cited by research in Computer Science Applications (234 citations), Information Systems (641 citations) and Artificial Intelligence (472 citations). Daniel E. Rose has collaborated with scholars based in United States, Germany and Israel. Frequent co-authors include Omar Alonso, Benjamin Stewart, Richard K. Belew, Alexander A. Stepanov, Richard Mander and Dulce Ponceleón. Their work appears in journals such as Interacting with Computers, Artificial Intelligence, ACM SIGIR Forum, Journal of Web Engineering and Psychology Press eBooks.
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.