Cosmin A. Bejan

1.8k total citations
50 papers, 902 citations indexed

About

Cosmin A. Bejan is a scholar working on Artificial Intelligence, Pulmonary and Respiratory Medicine and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Cosmin A. Bejan has authored 50 papers receiving a total of 902 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 10 papers in Pulmonary and Respiratory Medicine and 8 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Cosmin A. Bejan's work include Topic Modeling (18 papers), Natural Language Processing Techniques (16 papers) and Semantic Web and Ontologies (11 papers). Cosmin A. Bejan is often cited by papers focused on Topic Modeling (18 papers), Natural Language Processing Techniques (16 papers) and Semantic Web and Ontologies (11 papers). Cosmin A. Bejan collaborates with scholars based in United States, Canada and Australia. Cosmin A. Bejan's co-authors include Sanda M. Harabagiu, Andrew S. Gordon, Melissa Roemmele, Kenji Sagae, Bryan Rink, Alessandro Moschitti, Ryan S. Hsi, Paul Morǎrescu, Joshua C. Denny and Nicholas Kavoussi and has published in prestigious journals such as Bioinformatics, Scientific Reports and American Journal of Epidemiology.

In The Last Decade

Cosmin A. Bejan

48 papers receiving 826 citations

Peers

Cosmin A. Bejan
Comparison fields: 5 of 105
  • Artificial Intelligence 600
  • Molecular Biology 87
  • Pulmonary and Respiratory Medicine 78
  • Computer Vision and Pattern Recognition 74
  • General Health Professions 52
Replace David C. Kale with:
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Citations per field, relative to Cosmin A. Bejan
Cosmin A. Bejan · 1×
Citations per year, relative to Cosmin A. Bejan
Cosmin A. Bejan · 1×

Countries citing papers authored by Cosmin A. Bejan

Since Specialization
Citations

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

Fields of papers citing papers by Cosmin A. Bejan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cosmin A. Bejan. 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 Cosmin A. Bejan. The network helps show where Cosmin A. Bejan may publish in the future.

Co-authorship network of co-authors of Cosmin A. Bejan

This figure shows the co-authorship network connecting the top 25 collaborators of Cosmin A. Bejan. A scholar is included among the top collaborators of Cosmin A. Bejan 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 Cosmin A. Bejan. Cosmin A. Bejan 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
# Work Indexed citations
1 0
2 2
3 16
4 4
5 5
6 3
7 29
8 7
9 12
10 19
11
Choice of Plausible Alternatives: An Evaluation of Commonsense Causal Reasoning
165
12
Unsupervised Event Coreference Resolution with Rich Linguistic Features
101
13 9
14
Nonparametric Bayesian Models for Unsupervised Event Coreference Resolution
10
15
Using clustering methods for discovering event structures
4
16
Question answering based on temporal inference
26
17
Shallow semantics for relation extraction
33
18
Semantic parsing based on FrameNet
5
19 20
20
Intentions, Implicatures and Processing of Complex Questions
3

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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