Nico Schlaefer
Impact in
- Artificial Intelligence top 2%
- Topic Modeling
- Natural Language Processing Techniques
- Semantic Web and Ontologies
- Speech and dialogue systems
- Advanced Text Analysis Techniques
- Health Informatics top 10%
Papers in
-
- Topic Modeling 8
- Natural Language Processing Techniques 8
- Speech and dialogue systems 2
- Text and Document Classification Technologies 1
- AI-based Problem Solving and Planning 1
- Semantic Web and Ontologies 1
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- Service-Oriented Architecture and Web Services 2
- Software Engineering Research 1
- Co-authors
- Eric Nyberg (4 shared papers)Jennifer Chu‐Carroll (3 shared papers)David A. Ferrucci (2 shared papers)James Fan (2 shared papers)Chris Welty (1 shared paper)Adam Lally (1 shared paper)David C. Gondek (1 shared paper)Jaimie Murdock (1 shared paper)
- Journals
- IBM Journal of Research and Development (1 paper)AI Magazine (1 paper)Lecture notes in computer science (1 paper)Text REtrieval Conference (2 papers)Figshare (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Nico Schlaefer
8 papers receiving 1.1k citations
Nico Schlaefer's Hit Papers
Peers
Comparison fields: 5 of 99
- Artificial Intelligence 926
- Health Informatics 19
- Information Systems 250
- Management Science and Operations Research 97
- Computer Science Applications 40
Countries citing papers authored by Nico Schlaefer
This map shows the geographic impact of Nico Schlaefer'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 Nico Schlaefer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nico Schlaefer more than expected).
Fields of papers citing papers by Nico Schlaefer
This network shows the impact of papers produced by Nico Schlaefer. 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 Nico Schlaefer. The network helps show where Nico Schlaefer may publish in the future.
Co-authors
The 21 scholars most cited alongside Nico Schlaefer, 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 | Building Watson: An Overview of the DeepQA Project Hit paper breakdown → | 2010 | 1026 |
| 2 | 2006 | 40 | |
| 3 | SEMANTIC EXTENSIONS OF THE EPHYRA QA SYSTEM FOR TREC 2007 | 2007 | 38 |
| 4 | 2008 | 26 | |
| 5 | 2012 | 26 | |
| 6 | THE EPHYRA QA SYSTEM AT TREC 2006 | 2006 | 21 |
| 7 | 2011 | 19 | |
| 8 | Deploying Semantic Resources for Open Domain Question Answering | 2007 | 4 |
About Nico Schlaefer
Nico Schlaefer is a scholar working on Artificial Intelligence, Information Systems, Insect Science, Renewable Energy, Sustainability and the Environment and Obstetrics and Gynecology, having authored 8 papers that have together received 1.2k indexed citations. Recurring topics across this work include Topic Modeling (8 papers), Natural Language Processing Techniques (8 papers), Service-Oriented Architecture and Web Services (2 papers), Speech and dialogue systems (2 papers), Software Engineering Research (1 paper), Text and Document Classification Technologies (1 paper), AI-based Problem Solving and Planning (1 paper) and Semantic Web and Ontologies (1 paper). The work is most often cited by research in Artificial Intelligence (926 citations), Health Informatics (19 citations), Information Systems (250 citations), Management Science and Operations Research (97 citations) and Computer Science Applications (40 citations). Nico Schlaefer has collaborated with scholars based in United States and Germany. Frequent co-authors include Eric Nyberg, Jennifer Chu‐Carroll, David A. Ferrucci, James Fan, Chris Welty, Adam Lally, David C. Gondek, Jaimie Murdock, Eric W. Brown and Aditya Kalyanpur. Their work appears in journals such as IBM Journal of Research and Development, AI Magazine, Lecture notes in computer science, Text REtrieval Conference and Figshare.
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.