Adrian Silvescu

1.2k total citations
28 papers, 600 citations indexed

About

Adrian Silvescu is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Adrian Silvescu has authored 28 papers receiving a total of 600 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 10 papers in Molecular Biology and 6 papers in Information Systems. Recurrent topics in Adrian Silvescu's work include Machine Learning in Bioinformatics (8 papers), Genomics and Phylogenetic Studies (7 papers) and Algorithms and Data Compression (6 papers). Adrian Silvescu is often cited by papers focused on Machine Learning in Bioinformatics (8 papers), Genomics and Phylogenetic Studies (7 papers) and Algorithms and Data Compression (6 papers). Adrian Silvescu collaborates with scholars based in United States. Adrian Silvescu's co-authors include Vasant Honavar, Cornelia Caragea, Doina Caragea, Drena Dobbs, Prasenjit Mitra, Andrea Tapia, Jivko Sinapov, Oksana Yakhnenko, Dae-Ki Kang and C. Lee Giles and has published in prestigious journals such as BMC Bioinformatics, Food Microbiology and Knowledge and Information Systems.

In The Last Decade

Adrian Silvescu

26 papers receiving 560 citations

Peers

Adrian Silvescu

COMMU

CNC

Jyun‐Yu Jiang United States

Rolf Schwitter Australia

Yo-Sub Han South Korea

Tania Tudorache United States

Doug Cutting United States

Jintao Tang China

Jun’ichi Kazama Japan

Csongor Nyulas United States

Lev Ratinov United States

Jyun‐Yu Jiang United States

Adrian Silvescu

389 ×1.4

82 ×0.3

215 ×1.9

22 ×0.4

COMMU

39 ×0.7

CNC

Citations per year, relative to Adrian Silvescu Adrian Silvescu (= 1×) peers Jyun‐Yu Jiang

Countries citing papers authored by Adrian Silvescu

Since Specialization

Citations

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

Fields of papers citing papers by Adrian Silvescu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adrian Silvescu

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Caragea, Cornelia, Adrian Silvescu, & Prasenjit Mitra. (2021). Combining Hashing and Abstraction in Sparse High Dimensional Feature Spaces. Proceedings of the AAAI Conference on Artificial Intelligence. 26(1). 3–9. 1 indexed citations

Caragea, Cornelia, Adrian Silvescu, & Andrea Tapia. (2016). Identifying informative messages in disaster events using Convolutional Neural Networks. International Conference on Information Systems for Crisis Response and Management. 64 indexed citations

Caragea, Cornelia, Adrian Silvescu, & Andrea Tapia. (2016). Identifying Informative Messages in Disasters using Convolutional Neural Networks.. ISCRAM. 14 indexed citations

Caragea, Cornelia, Adrian Silvescu, & Prasenjit Mitra. (2012). Protein sequence classification using feature hashing. Proteome Science. 10(Suppl 1). S14–S14. 31 indexed citations

Caragea, Cornelia, Adrian Silvescu, & Prasenjit Mitra. (2011). Protein Sequence Classification Using Feature Hashing. 22. 538–543. 17 indexed citations

Caragea, Cornelia, Adrian Silvescu, Saurabh Kataria, Doina Caragea, & Prasenjit Mitra. (2011). Classifying Scientific Publications Using Abstract Features. University of North Texas Digital Library (University of North Texas). 26–33. 4 indexed citations

Caragea, Cornelia, Doina Caragea, Adrian Silvescu, & Vasant Honavar. (2010). Semi-supervised prediction of protein subcellular localization using abstraction augmented Markov models. BMC Bioinformatics. 11(S8). S6–S6. 17 indexed citations

Caragea, Cornelia, Adrian Silvescu, Doina Caragea, & Vasant Honavar. (2010). Abstraction Augmented Markov Models. PubMed. 22. 68–77. 2 indexed citations

Silvescu, Adrian, Cornelia Caragea, & Vasant Honavar. (2009). Combining Super-Structuring and Abstraction on Sequence Classification. 986–991. 10 indexed citations

10.

Caragea, Cornelia, Jivko Sinapov, Adrian Silvescu, Drena Dobbs, & Vasant Honavar. (2007). Glycosylation site prediction using ensembles of Support Vector Machine classifiers. BMC Bioinformatics. 8(1). 438–438. 132 indexed citations

11.

Kang, Dae-Ki, Adrian Silvescu, & Vasant Honavar. (2006). RNBL-MN: A recursive naive Bayes learner for sequence classification.

12.

Caragea, Doina, Jie Bao, Jyotishman Pathak, et al.. (2006). Information Integration from Semantically Heterogeneous Biological Data Sources. PubMed. ksl91 66. 580–584. 5 indexed citations

13.

Kang, Dae-Ki, et al.. (2005). Learning accurate and concise naïve Bayes classifiers from attribute value taxonomies and data. Knowledge and Information Systems. 9(2). 157–179. 32 indexed citations

14.

Silvescu, Adrian, Carson M. Andorf, Drena Dobbs, & Vasant Honavar. (2004). Inter-Element Dependency Models for Sequence Classification. 2 indexed citations

15.

Caragea, Doina, Adrian Silvescu, & Vasant Honavar. (2004). A Framework for Learning from Distributed Data Using Sufficient Statistics and Its Application to Learning Decision Trees. International Journal of Hybrid Intelligent Systems. 1(1-2). 80–89. 40 indexed citations

16.

Andorf, Carson M., Adrian Silvescu, Drena Dobbs, & Vasant Honavar. (2004). Learning Classifiers for Assigning Protein Sequences to Gene Ontology Functional Families. 6 indexed citations

17.

Caragea, Doina, Adrian Silvescu, & Vasant Honavar. (2003). Learning Decision Trees form Distributed Heterogeneous Autonomous Data.. 10–17. 1 indexed citations

18.

Honavar, Vasant, Carson M. Andorf, Doina Caragea, & Adrian Silvescu. (2002). Ontology-Driven Information Extraction and Knowledge Acquisition from Heterogeneous, Distributed, Autonomous Biological Data Sources. Food Microbiology. 26(3). 272–7. 12 indexed citations

19.

Silvescu, Adrian & Vasant Honavar. (2001). Temporal Boolean Network Models of Genetic Networks and their Inference from Gene Expression Time Series. Complex Systems. 13. 260–265. 46 indexed citations

20.

Caragea, Doina, Adrian Silvescu, & Vasant Honavar. (2000). Incremental and Distributed Learning with Support Vector Machines. National Conference on Artificial Intelligence. 1067. 1 indexed citations

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.

Explore authors with similar magnitude of impact