Daniel Gruhl
Impact in
-
- Advanced Steganography and Watermarking Techniques
- Chaos-based Image/Signal Encryption
- Digital Media Forensic Detection
- Statistical and Nonlinear Physics top 0.5%
- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
Papers in
-
- Topic Modeling 20
- Semantic Web and Ontologies 16
- Natural Language Processing Techniques 15
-
- Web Data Mining and Analysis 15
- Co-authors
- Walter Bender (6 shared papers)Norishige Morimoto (2 shared papers)Andrew Tomkins (8 shared papers)R. Guha (5 shared papers)David Liben‐Nowell (2 shared papers)Jim Spohrer (2 shared papers)J. Bailey (1 shared paper)Paul P. Maglio (1 shared paper)
- Journals
- IBM Systems Journal (4 papers)Journal of Web Semantics (2 papers)Lecture notes in computer science (9 papers)Computer Networks (1 paper)The VLDB Journal (1 paper)
- Partner nations
- United StatesIsraelJapan
In The Last Decade
Daniel Gruhl
64 papers receiving 6.2k citations
Daniel Gruhl's Hit Papers
Peers
Comparison fields: 5 of 128
- Computer Vision and Pattern Recognition 3.1k
- Statistical and Nonlinear Physics 1.4k
- Marketing 864
- Information Systems 1.5k
- Signal Processing 589
Countries citing papers authored by Daniel Gruhl
This map shows the geographic impact of Daniel Gruhl'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 Gruhl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Gruhl more than expected).
Fields of papers citing papers by Daniel Gruhl
This network shows the impact of papers produced by Daniel Gruhl. 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 Gruhl. The network helps show where Daniel Gruhl may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Gruhl, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Techniques for data hiding Hit paper breakdown → | 1996 | 2189 |
| 2 | Steps toward a science of service systems Hit paper breakdown → | 2007 | 983 |
| 3 | Information diffusion through blogspace Hit paper breakdown → | 2004 | 850 |
| 4 | Information diffusion through blogspace Hit paper breakdown → | 2004 | 770 |
| 5 | 1995 | 386 | |
| 6 | 2003 | 368 | |
| 7 | 2005 | 324 | |
| 8 | 1996 | 290 | |
| 9 | 2003 | 105 | |
| 10 | 2000 | 82 | |
| 11 | 2004 | 74 | |
| 12 | 2003 | 64 | |
| 13 | 2008 | 45 | |
| 14 | 2017 | 45 | |
| 15 | 2009 | 45 | |
| 16 | 2004 | 39 | |
| 17 | 2001 | 34 | |
| 18 | 2012 | 31 | |
| 19 | 1998 | 26 | |
| 20 | 2002 | 26 |
About Daniel Gruhl
Daniel Gruhl is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Molecular Biology and Management Science and Operations Research, having authored 65 papers that have together received 7.1k indexed citations. Recurring topics across this work include Topic Modeling (20 papers), Semantic Web and Ontologies (16 papers), Natural Language Processing Techniques (15 papers), Web Data Mining and Analysis (15 papers), Biomedical Text Mining and Ontologies (8 papers), Data Quality and Management (7 papers), Complex Network Analysis Techniques (7 papers) and Advanced Database Systems and Queries (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (3.1k citations), Statistical and Nonlinear Physics (1.4k citations), Marketing (864 citations), Information Systems (1.5k citations) and Signal Processing (589 citations). Daniel Gruhl has collaborated with scholars based in United States, Israel and Japan. Frequent co-authors include Walter Bender, Norishige Morimoto, Andrew Tomkins, R. Guha, David Liben‐Nowell, Jim Spohrer, J. Bailey, Paul P. Maglio, Anthony Y.H. Lu and Ravi Kumar. Their work appears in journals such as IBM Systems Journal, Journal of Web Semantics, Lecture notes in computer science, Computer Networks and The VLDB Journal.
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.