Roberto Lublinerman

863 citations
20 papers · 494 · h-index 12

Impact in

Papers in

Roberto Lublinerman

20 papers receiving 462 citations

Peers

Roberto Lublinerman
Comparison fields: 5 of 43
  • Hardware and Architecture 229
  • Software 46
  • Computational Theory and Mathematics 126
  • Computer Vision and Pattern Recognition 151
  • Computer Networks and Communications 110
Replace Paul Molitor with:
Paul Molitor Germany
Yosi Ben-Asher Israel
F. Warren Burton United States
Udi Manber Israel
Lee Howes United Kingdom
Yuan Tang China
Massimo Maresca Italy
Alessandro Forin United States
Soo‐Mook Moon South Korea
M. Amber Hassaan United States
Roberto Lublinerman relative to Paul Molitor Germany Paul Molitor's profile →
Citations per field
00.5×10×13.7×
Paul Molitor · 1×
Citations per year

Countries citing papers authored by Roberto Lublinerman

Since Specialization
Citations

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

Fields of papers citing papers by Roberto Lublinerman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Roberto Lublinerman, 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 Roberto Lublinerman Line = papers co-authored together Roberto Lublinerman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201184
2 200879
3 201062
4 200841
5 200934
6 201231
7 200823
8 200820
9 200620
10 201116
11 200915
12 200914
13 200611
14 200911
15 20089
16 20108
17 20136
18 20115
19 20084
20 20131

About Roberto Lublinerman

Roberto Lublinerman is a scholar working on Hardware and Architecture, Computer Networks and Communications, Software, Computational Theory and Mathematics and Computer Vision and Pattern Recognition, having authored 20 papers that have together received 494 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (11 papers), Embedded Systems Design Techniques (7 papers), Distributed systems and fault tolerance (5 papers), Formal Methods in Verification (5 papers), Advanced Data Storage Technologies (4 papers), Model-Driven Software Engineering Techniques (4 papers), Distributed and Parallel Computing Systems (3 papers) and Advanced Vision and Imaging (3 papers). The work is most often cited by research in Hardware and Architecture (229 citations), Software (46 citations), Computational Theory and Mathematics (126 citations), Computer Vision and Pattern Recognition (151 citations) and Computer Networks and Communications (110 citations). Roberto Lublinerman has collaborated with scholars based in United States. Frequent co-authors include Swarat Chaudhuri, Sumit Gulwani, Stavros Tripakis, Yanxi Liu, S.M. Navidpour, Frank Dellaert, Grant Schindler, Christian Szegedy, James Hays and Octavia Camps. Their work appears in journals such as ACM SIGPLAN Notices, Communications of the ACM and 2008 Design, Automation and Test in Europe.

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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