Philip Resnik
Philip Resnik publishes mostly in Artificial Intelligence, Social Psychology and General Social Sciences, on topics such as Topic Modeling, Natural Language Processing Techniques and Speech and dialogue systems.
- World rank
- #44,471 of 7,710,434 ranked researchers
- Rank in United States
- #17,102 of 1,627,098
- Works
- 249
- Citations
- 17k
- Citations per work
- 66.4
What does Philip Resnik research?
Philip Resnik's work is mostly in Computer Science (68%), Psychology (4%), Social Sciences (3%).
Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.
The fields and subfields, with their numbers
- Physical Sciences16867.5%
- Computer Science16867.5%
- Everything else5923.5%
- Social Sciences166.6%
- Psychology93.6%
- Social Sciences73.0%
- Life Sciences62.4%
- Neuroscience62.4%
- 1Artificial Intelligence62% of their works
- 2Social Psychology4% of their works
- 3General Social Sciences3% of their works
- 4Computer Vision and Pattern Recognition3% of their works
- 5Information Systems2% of their works
- 6Cognitive Neuroscience2% of their works
Research topics
Which keywords describe Philip Resnik's research?
The keywords of their largest research topics: Neural Networks, Topic Modeling, Machine Translation, Word Representation, Neural Machine Translation, Statistical Machine Translation, Machine Learning and Natural Language Processing.
- Extraction
- Semantic Web
- Social Science Research
- Social Media
- Text Simplification
- Spoken Dialogue Systems
- Natural Language Processing
- Statistical Machine Translation
- Word Representation
- Topic Modeling
- Neural Networks
- Machine Translation
- Neural Machine Translation
- Machine Learning
- Markov Decision Processes
- Readability Assessment
- Psychological Language Analysis
- Computational Text Analysis
- Ontology
- Automatic
Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.
All 20 words, with their numbers
- Neural Networks1793 topics
- Topic Modeling1572 topics
- Machine Translation1371 topic
- Word Representation1371 topic
- Neural Machine Translation1311 topic
- Statistical Machine Translation1311 topic
- Machine Learning673 topics
- Natural Language Processing673 topics
- Markov Decision Processes331 topic
- Spoken Dialogue Systems331 topic
- Readability Assessment261 topic
- Text Simplification261 topic
- Psychological Language Analysis211 topic
- Social Media211 topic
- Computational Text Analysis201 topic
- Social Science Research201 topic
- Ontology181 topic
- Semantic Web181 topic
- Automatic161 topic
- Extraction161 topic
Where does Philip Resnik work?
Philip Resnik's main affiliation in the publication record is University of Maryland, College Park, United States.
How many publications and citations does Philip Resnik have?
OpenAlex counts 249 works and 16,544 citations for Philip Resnik, an h-index of 54, ranking #44,471 of 7,710,434 researchers worldwide on the quality score.
Ranked on field-normalised citation excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.
Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.
Discussion
Ask a question or share a note about Philip Resnik. Keep it to the research: no personal attacks, advertising or links. Any reader can report a post, which collapses it for everyone until it is opened.