Daniel Gruhl
- Statistical and Nonlinear Physics top 0.5%
- Marketing top 1%
- Information Systems top 0.5%
- Web Data Mining and Analysis 14
- Artificial Intelligence top 1%
- Topic Modeling 14
- Semantic Web and Ontologies 13
- Natural Language Processing Techniques 12
- Advanced Text Analysis Techniques 6
-
- Data Quality and Management 7
-
- Advanced Database Systems and Queries 6
-
- Biomedical Text Mining and Ontologies 5
Daniel Gruhl
52 papers receiving 4.8k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Computer Vision and Pattern Recognition 2.4k
- Statistical and Nonlinear Physics 1.2k
- Marketing 616
- Information Systems 1.1k
- Artificial Intelligence 1.3k
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2023 | 1 | |
| 3 | AI Accelerated Human-in-the-loop Structuring of Radiology Reports. | 2020 | 8 |
| 4 | 2019 | 17 | |
| 5 | 2019 | 1 | |
| 6 | Language Agnostic Dictionary Extraction. | 2017 | 1 |
| 7 | 2017 | 37 | |
| 8 | Symbiotic Cognitive Computing through Iteratively Supervised Lexicon Induction. | 2016 | 1 |
| 9 | 2015 | 8 | |
| 10 | 2010 | 4 | |
| 11 | 2010 | 13 | |
| 12 | 2009 | 1 | |
| 13 | IZO: applications of large-window compression to virtual machine management | 2008 | 3 |
| 14 | The predictive power of online chatter | 2007 | 3 |
| 15 | A funny thing happened on the way to a billion .... | 2006 | 1 |
| 16 | 2005 | 280 | |
| 17 | Disambiguation of References to Individuals | 2005 | 9 |
| 18 | Information diffusion through blogspacebreakdown → | 2004 | 648 |
| 19 | 2003 | 1 | |
| 20 | Techniques for data hidingbreakdown → | 1996 | 1896 |
About Daniel Gruhl
Daniel Gruhl is a scholar working on Artificial Intelligence, Information Systems, Management Science and Operations Research, Computer Networks and Communications and Information Systems and Management, having authored 54 papers that have together received 5.5k indexed citations. Recurring topics across this work include Topic Modeling (14 papers), Web Data Mining and Analysis (14 papers), Semantic Web and Ontologies (13 papers), Natural Language Processing Techniques (12 papers), Data Quality and Management (7 papers), Advanced Database Systems and Queries (6 papers), Advanced Text Analysis Techniques (6 papers) and Biomedical Text Mining and Ontologies (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.4k citations), Statistical and Nonlinear Physics (1.2k citations), Marketing (616 citations), Information Systems (1.1k citations) and Artificial Intelligence (1.3k citations). Daniel Gruhl has collaborated with scholars based in United States, Japan and Israel. Frequent co-authors include Walter Bender, Norishige Morimoto, Andrew Tomkins, R. Guha, David Liben‐Nowell, Jim Spohrer, J. Bailey, Paul P. Maglio, Ravi Kumar and Jasmine Novak. Their work appears in journals such as IBM Systems Journal, Journal of Web Semantics, Communications of the ACM, Journal of Grid Computing and Computer.
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.