Nina Wacholder
- Artificial Intelligence top 2%
- Information Systems top 5%
- Sociology and Political Science
- Experimental and Cognitive Psychology
- Molecular Biology
- Co-authors
- Smaranda MuresanRoberto González‐IbáñezYael RavinMisook ChoiYing‐Hsang LiuDebanjan GhoshDavid K. EvansJudith L. Klavans
- Topics
- Topic Modeling (18 papers)Advanced Text Analysis Techniques (15 papers)Natural Language Processing Techniques (15 papers)
- Journals
- Information Processing & ManagementLanguage Resources and EvaluationJournal of the Association for Information Science and Technology
- Partner nations
- United StatesNetherlandsAustralia
In The Last Decade
Nina Wacholder
37 papers receiving 780 citations
Peers
Comparison fields: 5 of 84
- Artificial Intelligence 722
- Information Systems 244
- Sociology and Political Science 73
- Experimental and Cognitive Psychology 63
- Molecular Biology 59
Countries citing papers authored by Nina Wacholder
This map shows the geographic impact of Nina Wacholder'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 Nina Wacholder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nina Wacholder more than expected).
Fields of papers citing papers by Nina Wacholder
This network shows the impact of papers produced by Nina Wacholder. 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 Nina Wacholder. The network helps show where Nina Wacholder may publish in the future.
Co-authorship network of co-authors of Nina Wacholder
This figure shows the co-authorship network connecting the top 25 collaborators of Nina Wacholder. A scholar is included among the top collaborators of Nina Wacholder based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nina Wacholder. Nina Wacholder is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | An Argument-Ontology for a Response-Centered Approach to Argumentation Mining. | 2 |
| 2 | Identifying Sarcasm in Twitter: A Closer Look | 386 |
| 3 | 25 | |
| 4 | Why do users neglect suggestions?: Effects of semantic relatedness and task on word recognition | 1 |
| 5 | 2 | |
| 6 | 12 | |
| 7 | 11 | |
| 8 | 2 | |
| 9 | HITIQA: Scenario Based Question Answering | 8 |
| 10 | Designing a Realistic Evaluation of an End-to-end Interactive Question Answering System | 2 |
| 11 | 3 | |
| 12 | 14 | |
| 13 | 8 | |
| 14 | 6 | |
| 15 | 4 | |
| 16 | 27 | |
| 17 | Designing a Navigational Ontology for Browsing and Accessing 3D Anatomical Images. | 1 |
| 18 | Extracting Names from Natural-Language Text | 33 |
| 19 | Simplex NPs Clustered by Head: A Method for Identifying Significant Topics Within a Document | 3 |
| 20 | Implications of 3D visualization for medical education. | 3 |
About Nina Wacholder
Nina Wacholder is a scholar working on Artificial Intelligence, Information Systems and Experimental and Cognitive Psychology, having authored 40 papers that have together received 896 indexed citations. Recurring topics across this work include Topic Modeling (18 papers), Advanced Text Analysis Techniques (15 papers) and Natural Language Processing Techniques (15 papers). The work is most often cited by research in Artificial Intelligence (722 citations), Information Systems (244 citations) and Communication (42 citations). Nina Wacholder has collaborated with scholars based in United States, Netherlands and Australia. Frequent co-authors include Smaranda Muresan, Roberto González‐Ibáñez, Yael Ravin, Misook Choi, Ying‐Hsang Liu, Debanjan Ghosh, David K. Evans, Judith L. Klavans, Mark Aakhus and Tim Watson. Their work appears in journals such as Information Processing & Management, Language Resources and Evaluation and Journal of the Association for Information Science and Technology.
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.