Doina Caragea

117 papers receiving 1.7k citations

Peers

Doina Caragea
Comparison fields: 5 of 131
  • Communication 243
  • Artificial Intelligence 677
  • Insect Science 210
  • Information Systems 350
  • Signal Processing 166
Replace Miriam Fernández with:
Miriam Fernández United Kingdom
Tijl De Bie Belgium
Gregory R. Madey United States
Greg Wilson Canada
Ben Carterette United States
Mark D. Smucker Canada
Daniel Merkle Germany
Jeffrey Chan Australia
Vladimir Filkov United States
Cornelia Caragea United States
Doina Caragea relative to Miriam Fernández United Kingdom Miriam Fernández's profile →
Citations per field
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Miriam Fernández · 1×
Citations per year

Countries citing papers authored by Doina Caragea

Since Specialization
Citations

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

Fields of papers citing papers by Doina Caragea

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Doina Caragea, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Doina Caragea Line = papers co-authored together Doina Caragea links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 125 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011191
2 2009129
3 2020119
4 200566
5 201765
6 202164
7 201558
8 202145
9
Twitter mining for disaster response: A domain adaptation approach
201540
10 200440
11 201538
12 200134
13 201833
14 200432
15
Experimental study of fuzzy hashing in malware clustering analysis
201532
16 201031
17 202229
18 200928
19
Identifying Disaster Damage Images Using a Domain Adaptation Approach.
201924
20 202124

About Doina Caragea

Doina Caragea is a scholar working on Artificial Intelligence, Information Systems, Molecular Biology, Computer Networks and Communications and Communication, having authored 125 papers that have together received 1.8k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (18 papers), Public Relations and Crisis Communication (17 papers), Topic Modeling (13 papers), Semantic Web and Ontologies (13 papers), Genomics and Phylogenetic Studies (11 papers), Advanced Malware Detection Techniques (11 papers), Misinformation and Its Impacts (10 papers) and Network Security and Intrusion Detection (10 papers). The work is most often cited by research in Communication (243 citations), Artificial Intelligence (677 citations), Insect Science (210 citations), Information Systems (350 citations) and Signal Processing (166 citations). Doina Caragea has collaborated with scholars based in United States, Ireland and Qatar. Frequent co-authors include Vasant Honavar, Cornelia Caragea, Muhammad Imran, Nic Herndon, Adrian Silvescu, Ferda Ofli, Xinming Ou, Antonio Torralba, Xukun Li and Jyotishman Pathak. Their work appears in journals such as IEEE Transactions on NanoBioscience, American Journal of Veterinary Research, Journal of Ecology, Journal of Financial Services Research and PLoS ONE.

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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