Daniel Tunkelang
Impact in
- Information Systems top 5%
- Information Retrieval and Search Behavior
- Recommender Systems and Techniques
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- Data Visualization and Analytics
- Graph Theory and Algorithms
Papers in
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- Information Retrieval and Search Behavior 14
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- Data Visualization and Analytics 5
- Graph Theory and Algorithms 1
- Co-authors
- Daniel D. Sleator (1 shared paper)Bruce MacDowell Maggs (1 shared paper)Paul S. Heckbert (1 shared paper)Shih‐Wen Huang (1 shared paper)Karrie G. Karahalios (1 shared paper)Mike A Thelwall (1 shared paper)Roy J. Byrd (1 shared paper)James W. Cooper (1 shared paper)
- Journals
- ACM SIGIR Forum (1 paper)IT Professional (1 paper)Big Data (1 paper)Synthesis lectures on information concepts, retrieval, and services (4 papers)Lecture notes in computer science (2 papers)
- Partner nations
- United States
In The Last Decade
Daniel Tunkelang
16 papers receiving 405 citations
Peers
Comparison fields: 5 of 46
- Information Systems 202
- Computer Vision and Pattern Recognition 124
- Computer Graphics and Computer-Aided Design 20
- Artificial Intelligence 110
- Library and Information Sciences 8
Countries citing papers authored by Daniel Tunkelang
This map shows the geographic impact of Daniel Tunkelang'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 Tunkelang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Tunkelang more than expected).
Fields of papers citing papers by Daniel Tunkelang
This network shows the impact of papers produced by Daniel Tunkelang. 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 Tunkelang. The network helps show where Daniel Tunkelang may publish in the future.
Co-authors
The 11 scholars most cited alongside Daniel Tunkelang, 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 | Faceted Search | 2009 | 146 |
| 2 | 2009 | 104 | |
| 3 | 2009 | 56 | |
| 4 | A Numerical Optimization Approach to General Graph Drawing | 1999 | 29 |
| 5 | A Practical Approach to Drawing Undirected Graphs | 1994 | 27 |
| 6 | 1998 | 19 | |
| 7 | 2009 | 17 | |
| 8 | 2014 | 10 | |
| 9 | 2009 | 7 | |
| 10 | 2011 | 6 | |
| 11 | Synthesis Lectures on Information Concepts, Retrieval, and Services | 2009 | 5 |
| 12 | 1997 | 2 | |
| 13 | 2004 | 2 | |
| 14 | 2007 | 1 | |
| 15 | 2009 | 1 | |
| 16 | 2009 | 1 | |
| 17 | 2012 | 1 | |
| 18 | 2013 | 0 | |
| 19 | COMPUTER INFORMATION RETRIEVAL | 2013 | 0 |
About Daniel Tunkelang
Daniel Tunkelang is a scholar working on Information Systems, Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Human-Computer Interaction and Computational Theory and Mathematics, having authored 19 papers that have together received 434 indexed citations. Recurring topics across this work include Information Retrieval and Search Behavior (14 papers), Data Visualization and Analytics (5 papers), Computational Geometry and Mesh Generation (1 paper), Advanced Database Systems and Queries (1 paper), Graph Theory and Algorithms (1 paper), Complexity and Algorithms in Graphs (1 paper), Distributed and Parallel Computing Systems (1 paper) and Usability and User Interface Design (1 paper). The work is most often cited by research in Information Systems (202 citations), Computer Vision and Pattern Recognition (124 citations), Computer Graphics and Computer-Aided Design (20 citations), Artificial Intelligence (110 citations) and Library and Information Sciences (8 citations). Daniel Tunkelang has collaborated with scholars based in United States. Frequent co-authors include Daniel D. Sleator, Bruce MacDowell Maggs, Paul S. Heckbert, Shih‐Wen Huang, Karrie G. Karahalios, Mike A Thelwall, Roy J. Byrd, James W. Cooper, Bill Kules and Ryen W. White. Their work appears in journals such as ACM SIGIR Forum, IT Professional, Big Data, Synthesis lectures on information concepts, retrieval, and services and Lecture notes in computer science.
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.