Nico Schlaefer
- Artificial Intelligence top 2%
- Natural Language Processing Techniques 7
- Topic Modeling 7
- Speech and dialogue systems 2
- Text and Document Classification Technologies 1
- Semantic Web and Ontologies 1
- AI-based Problem Solving and Planning 1
- Health Informatics top 10%
- Information Systems top 5%
- Service-Oriented Architecture and Web Services 1
- Software Engineering Research 1
- Computer Science Applications top 10%
- Co-authors
- Eric NybergJennifer Chu‐CarrollJames FanDavid FerrucciAditya KalyanpurAdam LallyDavid GondekEric W. Brown
- Journals
- IBM Journal of Research and Development (1 paper)AI Magazine (1 paper)Figshare (1 paper)
- Partner nations
- United States
In The Last Decade
Nico Schlaefer
7 papers receiving 804 citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Artificial Intelligence 712
- Health Informatics 20
- Information Systems 193
- Management Science and Operations Research 88
- Computer Science Applications 33
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-authorship network
The 18 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 | 2012 | 25 | |
| 2 | 2011 | 19 | |
| 3 | Building Watson: An Overview of the DeepQA Projectbreakdown → | 2010 | 789 |
| 4 | 2008 | 21 | |
| 5 | SEMANTIC EXTENSIONS OF THE EPHYRA QA SYSTEM FOR TREC 2007 | 2007 | 34 |
| 6 | Deploying Semantic Resources for Open Domain Question Answering | 2007 | 3 |
| 7 | THE EPHYRA QA SYSTEM AT TREC 2006 | 2006 | 20 |
About Nico Schlaefer
Nico Schlaefer is a scholar working on Artificial Intelligence, Information Systems, Infectious Diseases, Organic Chemistry and Surgery, having authored 7 papers that have together received 911 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (7 papers), Topic Modeling (7 papers), Speech and dialogue systems (2 papers), Service-Oriented Architecture and Web Services (1 paper), Software Engineering Research (1 paper), Text and Document Classification Technologies (1 paper), Semantic Web and Ontologies (1 paper) and AI-based Problem Solving and Planning (1 paper). The work is most often cited by research in Artificial Intelligence (712 citations), Health Informatics (20 citations), Information Systems (193 citations), Management Science and Operations Research (88 citations) and Computer Science Applications (33 citations). Nico Schlaefer has collaborated with scholars based in United States. Frequent co-authors include Eric Nyberg, Jennifer Chu‐Carroll, James Fan, David Ferrucci, Aditya Kalyanpur, Adam Lally, David Gondek, Eric W. Brown, Jaimie Murdock and John Prager. Their work appears in journals such as IBM Journal of Research and Development, AI Magazine, Figshare and Text REtrieval Conference.
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.