Andrea Varga
- Artificial Intelligence top 10%
- Molecular Biology
- Information Systems top 10%
- Electrical and Electronic Engineering
- Oncology
- Co-authors
- P KadarFabio CiravegnaAndrei V. BakinAlfiya SafinaQiao ZhengMatthew RoweMichel VerhaegenGiuseppe Rizzo
- Topics
- Topic Modeling (8 papers)Advanced Text Analysis Techniques (4 papers)Text and Document Classification Technologies (4 papers)
- Partner nations
- United KingdomHungaryUnited States
In The Last Decade
Andrea Varga
25 papers receiving 346 citations
Peers
Comparison fields: 5 of 85
- Artificial Intelligence 155
- Molecular Biology 104
- Information Systems 53
- Electrical and Electronic Engineering 47
- Oncology 34
Countries citing papers authored by Andrea Varga
This map shows the geographic impact of Andrea Varga'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 Andrea Varga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrea Varga more than expected).
Fields of papers citing papers by Andrea Varga
This network shows the impact of papers produced by Andrea Varga. 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 Andrea Varga. The network helps show where Andrea Varga may publish in the future.
Co-authorship network of co-authors of Andrea Varga
This figure shows the co-authorship network connecting the top 25 collaborators of Andrea Varga. A scholar is included among the top collaborators of Andrea Varga 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 Andrea Varga. Andrea Varga is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | Multilingual extraction and editing of concept strings for the legal domain | 2 |
| 3 | 6 | |
| 4 | Building a Crisis Management Term Resource for Social Media: The Case of Floods and Protests | 6 |
| 5 | 20 | |
| 6 | Making sense of microposts (#Microposts2014) named entity extraction & linking challenge | 37 |
| 7 | 16 | |
| 8 | 32 | |
| 9 | Unsupervised document zone identification using probabilistic graphical models | 10 |
| 10 | 12 | |
| 11 | 3 | |
| 12 | Exploring the Similarity between Social Knowledge Sources and Twitter for Cross-domain Topic Classification. | 2 |
| 13 | 2 | |
| 14 | Volatile Classification of Point of Interests based on Social Activity Streams. | 7 |
| 15 | 41 | |
| 16 | 2 | |
| 17 | 36 | |
| 18 | TGF-β-MAPK signaling enhances metastases by stimulating tumor cell invasion and changes in tumor microenvironment | 1 |
| 19 | 63 | |
| 20 | 8 |
About Andrea Varga
Andrea Varga is a scholar working on Artificial Intelligence, Communication and Information Systems, having authored 25 papers that have together received 373 indexed citations. Recurring topics across this work include Topic Modeling (8 papers), Advanced Text Analysis Techniques (4 papers) and Text and Document Classification Technologies (4 papers). The work is most often cited by research in Artificial Intelligence (155 citations), Information Systems (53 citations) and Automotive Engineering (28 citations). Andrea Varga has collaborated with scholars based in United Kingdom, Hungary and United States. Frequent co-authors include P Kadar, Fabio Ciravegna, Andrei V. Bakin, Alfiya Safina, Qiao Zheng, Matthew Rowe, Michel Verhaegen, Giuseppe Rizzo, Ruslan Mitkov and Le An Ha. Their work appears in journals such as Cancer Research, Oncogene and Breast Cancer Research.
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.