Scott D. Stoller

4.9k total citations
110 papers, 2.1k citations indexed

About

Scott D. Stoller is a scholar working on Artificial Intelligence, Computer Networks and Communications and Hardware and Architecture. According to data from OpenAlex, Scott D. Stoller has authored 110 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Artificial Intelligence, 45 papers in Computer Networks and Communications and 38 papers in Hardware and Architecture. Recurrent topics in Scott D. Stoller's work include Parallel Computing and Optimization Techniques (36 papers), Logic, programming, and type systems (33 papers) and Formal Methods in Verification (26 papers). Scott D. Stoller is often cited by papers focused on Parallel Computing and Optimization Techniques (36 papers), Logic, programming, and type systems (33 papers) and Formal Methods in Verification (26 papers). Scott D. Stoller collaborates with scholars based in United States, Austria and Israel. Scott D. Stoller's co-authors include Yanhong A. Liu, Liqiang Wang, Amit Sasturkar, Rahul Agarwal, Lei Wang, Ping Yang, C. R. Ramakrishnan, Tim Teitelbaum, Mikhail Gofman and Paul T. Finger and has published in prestigious journals such as Ophthalmology, IEEE Transactions on Software Engineering and Journal of Medical Internet Research.

In The Last Decade

Scott D. Stoller

102 papers receiving 2.0k citations

Peers

Scott D. Stoller
Comparison fields: 5 of 87
  • Artificial Intelligence 1.0k
  • Computer Networks and Communications 894
  • Hardware and Architecture 676
  • Information Systems 491
  • Software 486
Replace Andrew D. Gordon with:
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Andrew D. Gordon United Kingdom View profile →
Citations per field, relative to Scott D. Stoller
Scott D. Stoller · 1×
Citations per year, relative to Scott D. Stoller
Scott D. Stoller · 1×

Countries citing papers authored by Scott D. Stoller

Since Specialization
Citations

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

Fields of papers citing papers by Scott D. Stoller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Scott D. Stoller. 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 Scott D. Stoller. The network helps show where Scott D. Stoller may publish in the future.

Co-authorship network of co-authors of Scott D. Stoller

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 2
4 1
5 136
6 6
7
Mining Relationship-Based Access Control Policies
4
8
{SLEUTH}: Real-time Attack Scenario Reconstruction from {COTS} Audit Data
31
9 19
10 5
11 26
12 29
13 24
14 75
15 61
16 44
17
Type discovery for parameterized race-free Java
3
18 13
19 11
20
Efficient Detection of Global Properties in Distributed Systems Using Partial-Order Methods
0

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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