Roxana Geambasu

1.5k citations
28 papers · 645 indexed · h-index 14

Impact in

Papers in

Roxana Geambasu

26 papers receiving 594 citations

Peers

Roxana Geambasu
Comparison fields: 5 of 51
  • Information Systems 362
  • Computer Networks and Communications 351
  • Signal Processing 130
  • Artificial Intelligence 324
  • Hardware and Architecture 43
Replace Jeffrey I. Schiller with:
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Citations per field
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Citations per year

Countries citing papers authored by Roxana Geambasu

Since Specialization
Citations

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

Fields of papers citing papers by Roxana Geambasu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Roxana Geambasu, 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 Roxana Geambasu Line = papers co-authored together Roxana Geambasu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20231
3 20230
4 20211
5
On the Connection between Differential Privacy and Adversarial Robustness in Machine Learning
20188
6 20174
7
POSIX Has Become Outdated.
20161
8 201626
9 20166
10 201527
11 201531
12 201427
13 201271
14 201219
15
New Directions for Self-Destructing Data Systems
20129
16 201135
17 201046
18
Vanish: increasing data privacy with self-destructing data
2009208
19
CloudViews: communal data sharing in public clouds
200927
20 20083

About Roxana Geambasu

Roxana Geambasu is a scholar working on Computer Networks and Communications, Artificial Intelligence, Signal Processing, Information Systems and Computer Science Applications, having authored 28 papers that have together received 645 indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (9 papers), Privacy-Preserving Technologies in Data (9 papers), Peer-to-Peer Network Technologies (6 papers), Caching and Content Delivery (6 papers), Distributed systems and fault tolerance (5 papers), Advanced Malware Detection Techniques (5 papers), Cryptography and Data Security (4 papers) and Cloud Computing and Resource Management (4 papers). The work is most often cited by research in Information Systems (362 citations), Computer Networks and Communications (351 citations), Signal Processing (130 citations), Artificial Intelligence (324 citations) and Hardware and Architecture (43 citations). Roxana Geambasu has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Henry M. Levy, Tadayoshi Kohno, Amit Levy, Steven D. Gribble, Jason Nieh, Yang Tang, Jonathan Bell, Magdalena Bałazińska, Arvind Krishnamurthy and Mahadev Satyanarayanan. Their work appears in journals such as ACM SIGPLAN Notices, IEEE Security & Privacy, ACM SIGOPS Operating Systems Review, USENIX Security Symposium and arXiv (Cornell University).

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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