Anna Rumshisky

68 papers receiving 1.6k citations

Peers

Anna Rumshisky
Comparison fields: 5 of 114
  • Artificial Intelligence 1.5k
  • Molecular Biology 520
  • Computer Vision and Pattern Recognition 152
  • Health Information Management 123
  • Information Systems 96
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Citations per year

Countries citing papers authored by Anna Rumshisky

Since Specialization
Citations

This map shows the geographic impact of Anna Rumshisky'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 Anna Rumshisky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Rumshisky more than expected).

Fields of papers citing papers by Anna Rumshisky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anna Rumshisky. 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 Anna Rumshisky. The network helps show where Anna Rumshisky may publish in the future.

Co-authorship network of co-authors of Anna Rumshisky

This figure shows the co-authorship network connecting the top 25 collaborators of Anna Rumshisky. A scholar is included among the top collaborators of Anna Rumshisky 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 Anna Rumshisky. Anna Rumshisky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 8
2 21
3
Calls to Action on Social Media: Potential for Censorship and Social Impact
2
4 4
5 40
6
What’s in Your Embedding, And How It Predicts Task Performance
18
7
RuSentiment: An Enriched Sentiment Analysis Dataset for Social Media in Russian
40
8
Automatic Labeling of Problem-Solving Dialogues for Computational Microgenetic Learning Analytics
1
9
Length, Interchangeability, and External Knowledge: Observations from Predicting Argument Convincingness
6
10
Here's My Point: Argumentation Mining with Pointer Networks
2
11 4
12
Recommender System Incorporating User Personality Profile through Analysis of Written Reviews.
3
13 25
14
Unfolding physiological state: mortality modelling in intensive care units
32
15
Word Sense Inventories by Non-Experts.
7
16
SemEval-2010 Task 7: Argument Selection and Coercion
9
17
Verbal polysemy resolution through contextualized clustering of arguments
1
18
Resolving polysemy in verbs: Contextualized distributional approach to argument semantics
14
19
Towards a Generative Lexical Resource: The Brandeis Semantic Ontology.
40
20
Inducing Sense-Discriminating Context Patterns from Sense-Tagged Corpora
5

About Anna Rumshisky

Anna Rumshisky is a scholar working on Artificial Intelligence, Computer Science Applications and Health Informatics, having authored 71 papers that have together received 1.7k indexed citations. Recurring topics across this work include Topic Modeling (43 papers), Natural Language Processing Techniques (35 papers) and Semantic Web and Ontologies (11 papers). The work is most often cited by research in Artificial Intelligence (1.5k citations), Health Informatics (57 citations) and Health Information Management (123 citations). Anna Rumshisky has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Weiyi Sun, Özlem Uzuner, Alexey Romanov, James Pustejovsky, Peter Potash, Anna Rogers, Peter Szolovits, Tristan Naumann, Marzyeh Ghassemi and Yuanliang Meng. Their work appears in journals such as Journal of the American Medical Informatics Association, Translational Psychiatry and Journal of Biomedical Informatics.

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.

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