Daniel M. Herzig
Impact in
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- Data Quality and Management
- Artificial Intelligence top 5%
- Semantic Web and Ontologies
- Topic Modeling
Papers in
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- Semantic Web and Ontologies 14
- Topic Modeling 3
- Natural Language Processing Techniques 2
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- Web Data Mining and Analysis 8
- Information Retrieval and Search Behavior 3
- Co-authors
- Peter Mika (7 shared papers)Roi Blanco (6 shared papers)Jeffrey Pound (5 shared papers)Harry Halpin (5 shared papers)Thanh Tran (5 shared papers)Peter Haase (5 shared papers)Henry S. Thompson (4 shared papers)Thanh Tran (2 shared papers)
- Journals
- Journal of Web Semantics (2 papers)ACM SIGIR Forum (1 paper)Semantic Web (1 paper)Lecture notes in computer science (5 papers)SSRN Electronic Journal (1 paper)
In The Last Decade
Daniel M. Herzig
20 papers receiving 422 citations
Peers
Comparison fields: 5 of 54
- Management Science and Operations Research 129
- Artificial Intelligence 323
- Computer Science Applications 53
- Information Systems 205
- Signal Processing 44
Countries citing papers authored by Daniel M. Herzig
This map shows the geographic impact of Daniel M. Herzig'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 M. Herzig with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel M. Herzig more than expected).
Fields of papers citing papers by Daniel M. Herzig
This network shows the impact of papers produced by Daniel M. Herzig. 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 M. Herzig. The network helps show where Daniel M. Herzig may publish in the future.
Co-authors
The 22 scholars most cited alongside Daniel M. Herzig, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 75 | |
| 2 | 2008 | 51 | |
| 3 | Entity Search Evaluation over Structured Web Data | 2011 | 47 |
| 4 | 2019 | 46 | |
| 5 | Evaluating Ad-Hoc Object Retrieval | 2010 | 43 |
| 6 | 2009 | 32 | |
| 7 | 2011 | 30 | |
| 8 | 2013 | 24 | |
| 9 | Use Cases of the Industrial Knowledge Graph at Siemens. | 2018 | 23 |
| 10 | 2012 | 22 | |
| 11 | 2013 | 16 | |
| 12 | 2010 | 13 | |
| 13 | 2012 | 12 | |
| 14 | Alexa, Ask Wikidata! Voice Interaction with Knowledge Graphs using Amazon Alexa. | 2017 | 5 |
| 15 | One query to bind them all | 2011 | 3 |
| 16 | 2014 | 3 | |
| 17 | Multilingual Expert Search using Linked Open Data as Interlingual Representation. | 2010 | 2 |
| 18 | 2018 | 2 | |
| 19 | 2013 | 2 | |
| 20 | 2011 | 1 |
About Daniel M. Herzig
Daniel M. Herzig is a scholar working on Artificial Intelligence, Information Systems, Management Science and Operations Research, Signal Processing and Computer Networks and Communications, having authored 21 papers that have together received 452 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (14 papers), Web Data Mining and Analysis (8 papers), Data Quality and Management (6 papers), Data Management and Algorithms (5 papers), Topic Modeling (3 papers), Information Retrieval and Search Behavior (3 papers), Advanced Database Systems and Queries (2 papers) and Natural Language Processing Techniques (2 papers). The work is most often cited by research in Management Science and Operations Research (129 citations), Artificial Intelligence (323 citations), Computer Science Applications (53 citations), Information Systems (205 citations) and Signal Processing (44 citations). Daniel M. Herzig has collaborated with scholars based in Germany, Canada and Spain. Frequent co-authors include Peter Mika, Roi Blanco, Jeffrey Pound, Harry Halpin, Thanh Tran, Peter Haase, Henry S. Thompson, Thanh Tran, Andriy Nikolov and Günter Ladwig. Their work appears in journals such as Journal of Web Semantics, ACM SIGIR Forum, Semantic Web, Lecture notes in computer science and SSRN Electronic 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.