Benjamin S. Lerner

400 citations
19 papers · 219 · h-index 8

Impact in

  • Software top 5%
    • Software Testing and Debugging Techniques
    • Software Engineering Research
    • Web Application Security Vulnerabilities

Papers in

Benjamin S. Lerner

17 papers receiving 207 citations

Peers

Benjamin S. Lerner
Comparison fields: 5 of 24
  • Software 85
  • Information Systems 149
  • Computer Science Applications 28
  • Hardware and Architecture 34
  • Artificial Intelligence 146
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Countries citing papers authored by Benjamin S. Lerner

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin S. Lerner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Benjamin S. Lerner. 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 Benjamin S. Lerner. The network helps show where Benjamin S. Lerner may publish in the future.

Co-authors

The 13 scholars most cited alongside Benjamin S. Lerner, 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 Benjamin S. Lerner Line = papers co-authored together Benjamin S. Lerner links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 200771
2 201329
3 201227
4 200624
5 202113
6
Modeling and reasoning about DOM events
201211
7 20228
8 20077
9
C3: an experimental, extensible, reconfigurable platform for HTML-based applications
20116
10 20105
11 20134
12 20124
13 20104
14
Designing for extensibility and planning for conflict: experiments in web-browser design
20112
15 20241
16 20181
17
ADSP-TS20x TigerSHARC® Processor Boot Loader Kernels Operation
20041
18
The Next 700 Semantics: A Research Challenge.
20191
19 20100

About Benjamin S. Lerner

Benjamin S. Lerner is a scholar working on Artificial Intelligence, Information Systems, Signal Processing, Hardware and Architecture and Software, having authored 19 papers that have together received 219 indexed citations. Recurring topics across this work include Logic, programming, and type systems (9 papers), Software Engineering Research (8 papers), Advanced Malware Detection Techniques (5 papers), Parallel Computing and Optimization Techniques (4 papers), Software Testing and Debugging Techniques (3 papers), Advanced Software Engineering Methodologies (3 papers), Teaching and Learning Programming (3 papers) and Security and Verification in Computing (3 papers). The work is most often cited by research in Software (85 citations), Information Systems (149 citations), Computer Science Applications (28 citations), Hardware and Architecture (34 citations) and Artificial Intelligence (146 citations). Benjamin S. Lerner has collaborated with scholars based in United States. Frequent co-authors include Dan Grossman, Craig Chambers, Shriram Krishnamurthi, Joe Gibbs Politz, Arjun Guha, Herman Venter, Kathi Fisler, Brian R. Burg, Wolfram Schulte and Daniel Grossman. Their work appears in journals such as ACM SIGPLAN Notices, Education Sciences and Works - Scholarship, Research, & Creative Expression (Swarthmore College).

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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