Anca Hângan
- Computer Networks and Communications top 10%
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Electrical and Electronic Engineering
- Information Systems
- Co-authors
- Gheorghe SebestyenZoltán GálStefan OnigaOctavian CreţIonuț AnghelTudor CioaraMariana MocanuStefan‐Lucian Popa
- Topics
- Real-Time Systems Scheduling (7 papers)Anomaly Detection Techniques and Applications (7 papers)IoT and Edge/Fog Computing (6 papers)
- Cited by
- Computer Networks and CommunicationsGastroenterologyComputer Vision and Pattern Recognition
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsSensors
In The Last Decade
Anca Hângan
34 papers receiving 241 citations
Peers
Comparison fields: 5 of 69
- Computer Networks and Communications 87
- Artificial Intelligence 56
- Computer Vision and Pattern Recognition 52
- Electrical and Electronic Engineering 42
- Information Systems 37
Countries citing papers authored by Anca Hângan
This map shows the geographic impact of Anca Hângan'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 Anca Hângan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anca Hângan more than expected).
Fields of papers citing papers by Anca Hângan
This network shows the impact of papers produced by Anca Hângan. 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 Anca Hângan. The network helps show where Anca Hângan may publish in the future.
Co-authorship network of co-authors of Anca Hângan
This figure shows the co-authorship network connecting the top 25 collaborators of Anca Hângan. A scholar is included among the top collaborators of Anca Hângan 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 Anca Hângan. Anca Hângan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 16 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 19 | |
| 7 | 7 | |
| 8 | 8 | |
| 9 | 8 | |
| 10 | 1 | |
| 11 | 9 | |
| 12 | 8 | |
| 13 | 7 | |
| 14 | 14 | |
| 15 | 1 | |
| 16 | 1 | |
| 17 | 1 | |
| 18 | 2 | |
| 19 | 1 | |
| 20 | 0 |
About Anca Hângan
Anca Hângan is a scholar working on Hardware and Architecture, Computer Networks and Communications and Health Informatics, having authored 40 papers that have together received 250 indexed citations. Recurring topics across this work include Real-Time Systems Scheduling (7 papers), Anomaly Detection Techniques and Applications (7 papers) and IoT and Edge/Fog Computing (6 papers). The work is most often cited by research in Computer Networks and Communications (87 citations), Gastroenterology (20 citations) and Computer Vision and Pattern Recognition (52 citations). Anca Hângan has collaborated with scholars based in Romania, Italy and Denmark. Frequent co-authors include Gheorghe Sebestyen, Zoltán Gál, Stefan Oniga, Octavian Creţ, Ionuț Anghel, Tudor Cioara, Mariana Mocanu, Stefan‐Lucian Popa, Costin-Gabriel Chiru and Liliana David. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Sensors.
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.