Omer Tripp

1.7k citations
55 papers · 984 indexed · h-index 17

Impact in

  • Software top 1%
    • Software Testing and Debugging Techniques
    • Software Reliability and Analysis Research
    • Advanced Malware Detection Techniques

Papers in

Omer Tripp

53 papers receiving 938 citations

Peers

Omer Tripp
Comparison fields: 5 of 39
  • Software 404
  • Signal Processing 554
  • Information Systems 663
  • Hardware and Architecture 112
  • Artificial Intelligence 529
Replace Raja Vallée-Rai with:
Raja Vallée-Rai Canada
Christian Hammer Germany
Christophe Hauser United States
Johannes Kinder United Kingdom
Max Schäfer United States
Qirun Zhang United States
Cornelius Aschermann Germany
Gregor Richards United States
Martin Bravenboer Netherlands
Ana Milanova United States
Omer Tripp relative to Raja Vallée-Rai Canada Raja Vallée-Rai's profile →
Citations per field
00.5×2.7×
Raja Vallée-Rai · 1×
Citations per year

Countries citing papers authored by Omer Tripp

Since Specialization
Citations

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

Fields of papers citing papers by Omer Tripp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 202425
3 20241
4 20233
5 20231
6 20233
7 20218
8 201610
9 201619
10 201552
11 20154
12 20157
13 20152
14
A Bayesian approach to privacy enforcement in smartphones
201444
15 20142
16 201421
17 20134
18 201210
19 201171
20 201018

About Omer Tripp

Omer Tripp is a scholar working on Software, Signal Processing, Hardware and Architecture, Information Systems and Artificial Intelligence, having authored 55 papers that have together received 984 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (28 papers), Security and Verification in Computing (22 papers), Software Testing and Debugging Techniques (15 papers), Distributed systems and fault tolerance (13 papers), Web Application Security Vulnerabilities (13 papers), Software Engineering Research (11 papers), Parallel Computing and Optimization Techniques (11 papers) and Software System Performance and Reliability (8 papers). The work is most often cited by research in Software (404 citations), Signal Processing (554 citations), Information Systems (663 citations), Hardware and Architecture (112 citations) and Artificial Intelligence (529 citations). Omer Tripp has collaborated with scholars based in United States, Israel and Switzerland. Frequent co-authors include Marco Pistoia, Manu Sridharan, Stephen J. Fink, Salvatore Guarnieri, Mayur Naik, Percy Liang, Julia Rubin, Julian Dolby, Peng Liu and Aleksandr Y. Aravkin. Their work appears in journals such as ACM SIGPLAN Notices, ACM Transactions on Software Engineering and Methodology, International Journal on Software Tools for Technology Transfer, Journal of Automated Reasoning and Formal Methods in System Design.

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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