Mona Vij

560 citations
15 papers · 288 indexed · h-index 6
Topics
Security and Verification in Computing (12 papers)Cloud Data Security Solutions (6 papers)Distributed systems and fault tolerance (5 papers)
Journals
ACM SIGPLAN NoticesOperating Systems Design and ImplementationVTechWorks (Virginia Tech)

In The Last Decade

Mona Vij

14 papers receiving 283 citations

Peers

Mona Vij
Comparison fields: 5 of 23
  • Artificial Intelligence 247
  • Information Systems 150
  • Signal Processing 102
  • Computer Networks and Communications 91
  • Hardware and Architecture 76
Replace Nico Weichbrodt with:
Nico Weichbrodt Germany
Anil Kurmus Switzerland
Michael Z. Lee United States
Pierre Olivier United Kingdom
Roberto Guanciale Sweden
Xunchao Hu United States
Ilia A. Lebedev United States
Khilan Gudka United Kingdom
Alyssa Milburn Netherlands
Pratap Subrahmanyam United States
Mona Vij relative to Nico Weichbrodt Germany Nico Weichbrodt's profile →
Citations per field
00.5×1.6×
Nico Weichbrodt · 1×
Citations per year

Countries citing papers authored by Mona Vij

Since Specialization
Citations

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

Fields of papers citing papers by Mona Vij

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mona Vij

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 1
2 1
3 1
4 1
5 3
6 6
7 5
8 3
9 10
10 10
11
Graphene-SGX: a practical library OS for unmodified applications on SGX
211
12 29
13 0
14 6
15
Improved device driver reliability through verification reuse
1

About Mona Vij

Mona Vij is a scholar working on Hardware and Architecture, Artificial Intelligence and Signal Processing, having authored 15 papers that have together received 288 indexed citations. Recurring topics across this work include Security and Verification in Computing (12 papers), Cloud Data Security Solutions (6 papers) and Distributed systems and fault tolerance (5 papers). The work is most often cited by research in Hardware and Architecture (76 citations), Signal Processing (102 citations) and Artificial Intelligence (247 citations). Mona Vij has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Donald E. Porter, Chia-Che Tsai, John Keys, Leonid Ryzhyk, Adam K. Walker, Michael Stumm, Somnath Chakrabarti, Reza Tourani, Pramod Bhatotia and Pedro Fonseca. Their work appears in journals such as ACM SIGPLAN Notices, Operating Systems Design and Implementation and VTechWorks (Virginia Tech).

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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