Melissa Roemmele
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Clinical Psychology
- Sociology and Political Science
- Social Psychology
- Co-authors
- Andrew S. GordonCosmin A. BejanTerri L. Messman‐MooreZornitsa KozarevaSosuke KobayashiNaoya InoueSteve DeNeefeLouis–Philippe Morency
- Topics
- Topic Modeling (11 papers)Natural Language Processing Techniques (9 papers)Artificial Intelligence in Games (6 papers)
- Journals
- Journal of Child Sexual AbuseJoint Conference on Lexical and Computational SemanticsNational Conference on Artificial Intelligence
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Melissa Roemmele
19 papers receiving 392 citations
Peers
Comparison fields: 5 of 61
- Artificial Intelligence 313
- Computer Vision and Pattern Recognition 103
- Clinical Psychology 56
- Sociology and Political Science 28
- Social Psychology 23
Countries citing papers authored by Melissa Roemmele
This map shows the geographic impact of Melissa Roemmele'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 Melissa Roemmele with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Melissa Roemmele more than expected).
Fields of papers citing papers by Melissa Roemmele
This network shows the impact of papers produced by Melissa Roemmele. 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 Melissa Roemmele. The network helps show where Melissa Roemmele may publish in the future.
Co-authorship network of co-authors of Melissa Roemmele
This figure shows the co-authorship network connecting the top 25 collaborators of Melissa Roemmele. A scholar is included among the top collaborators of Melissa Roemmele 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 Melissa Roemmele. Melissa Roemmele is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 7 | |
| 6 | 2 | |
| 7 | 33 | |
| 8 | 8 | |
| 9 | 8 | |
| 10 | 2 | |
| 11 | 15 | |
| 12 | 3 | |
| 13 | 38 | |
| 14 | 7 | |
| 15 | One Hundred Challenge Problems for Logical Formalizations of Commonsense Psychology. | 6 |
| 16 | 4 | |
| 17 | 3 | |
| 18 | SemEval-2012 Task 7: Choice of Plausible Alternatives: An Evaluation of Commonsense Causal Reasoning | 52 |
| 19 | Choice of Plausible Alternatives: An Evaluation of Commonsense Causal Reasoning | 165 |
| 20 | 64 |
About Melissa Roemmele
Melissa Roemmele is a scholar working on Artificial Intelligence, General Social Sciences and Information Systems, having authored 20 papers that have together received 422 indexed citations. Recurring topics across this work include Topic Modeling (11 papers), Natural Language Processing Techniques (9 papers) and Artificial Intelligence in Games (6 papers). The work is most often cited by research in Artificial Intelligence (313 citations), Computer Vision and Pattern Recognition (103 citations) and Clinical Psychology (56 citations). Melissa Roemmele has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Andrew S. Gordon, Cosmin A. Bejan, Terri L. Messman‐Moore, Zornitsa Kozareva, Sosuke Kobayashi, Naoya Inoue, Steve DeNeefe, Louis–Philippe Morency, John Joon Young Chung and Max Kreminski. Their work appears in journals such as Journal of Child Sexual Abuse, Joint Conference on Lexical and Computational Semantics and National Conference on Artificial Intelligence.
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.