Steven Lucco

2.2k citations
26 papers · 1.5k indexed · 1 hit paper · h-index 12

Steven Lucco

25 papers receiving 1.3k citations

Hit Papers

Efficient software-based fault isolation8511993202620042015250500750

Peers

Steven Lucco
Comparison fields: 5 of 46
  • Hardware and Architecture 642
  • Signal Processing 513
  • Computer Networks and Communications 909
  • Artificial Intelligence 999
  • Software 59
Replace Ellis Cohen with:
Ellis Cohen United States
Robert Wahbe United States
Cynthia Irvine United States
Marvin Solomon United States
Ronald A. Olsson United States
Evelyn Duesterwald United States
Leo A. Meyerovich United States
Vinod Ganapathy United States
Marc E. Fiuczynski United States
Michalis Polychronakis United States
Steven Lucco relative to Ellis Cohen United States Ellis Cohen's profile →
Citations per field
00.5×10×13×
Ellis Cohen · 1×
Citations per year

Countries citing papers authored by Steven Lucco

Since Specialization
Citations

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

Fields of papers citing papers by Steven Lucco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 10 scholars most cited alongside Steven Lucco, 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 Steven Lucco Line = papers co-authored together Steven Lucco links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20024
2 20022
3 200022
4 20001
5 19964
6 199669
7 199524
8
Adaptable binary programs
199521
9
High-Performance Microkernel Systems (Panel Statement).
19941
10 1993159
11 199341
12 19931
13 19935
14 19928
15 199247
16 199111
17 199014
18 19904
19 199054
20 19875

About Steven Lucco

Steven Lucco is a scholar working on Hardware and Architecture, Computer Networks and Communications, Artificial Intelligence, Information Systems and Management and Signal Processing, having authored 26 papers that have together received 1.5k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (20 papers), Distributed systems and fault tolerance (10 papers), Distributed and Parallel Computing Systems (8 papers), Advanced Data Storage Technologies (7 papers), Security and Verification in Computing (5 papers), Interconnection Networks and Systems (4 papers), Algorithms and Data Compression (4 papers) and Peer-to-Peer Network Technologies (3 papers). The work is most often cited by research in Hardware and Architecture (642 citations), Signal Processing (513 citations), Computer Networks and Communications (909 citations), Artificial Intelligence (999 citations) and Software (59 citations). Steven Lucco has collaborated with scholars based in United States. Frequent co-authors include Robert Wahbe, Susan L. Graham, Thomas E. Anderson, Christopher W. Fraser, William Evans, Todd A. Proebsting, Sudhir R. Ahuja, J. Robert Ensor, Ali-Reza Adl-Tabatabai and David P. Anderson. Their work appears in journals such as ACM SIGPLAN Notices, ACM SIGOPS Operating Systems Review, ACM SIGOIS Bulletin, UC Berkeley and Operating Systems Design and Implementation.

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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