Roberto Lublinerman

868 citations
22 papers · 648 · h-index 14

Impact in

Papers in

Roberto Lublinerman

22 papers receiving 608 citations

Peers

Roberto Lublinerman
Comparison fields: 5 of 45
  • Hardware and Architecture 285
  • Software 78
  • Computational Theory and Mathematics 199
  • Computer Vision and Pattern Recognition 189
  • Artificial Intelligence 185
Replace Chung-Yang Huang with:
Chung-Yang Huang Taiwan
Eun-Young Kang Belgium
Paul Molitor Germany
Chenyang Lu United States
Pawan Harish India
Zhihao Jia United States
Rupesh Nasre India
Alessandro Forin United States
S. Ghose India
Tadeusz Łuba Poland
Roberto Lublinerman relative to Chung-Yang Huang Taiwan Chung-Yang Huang's profile →
Citations per field
00.5×1.5×
Chung-Yang Huang · 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 18 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

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011104
2 2008102
3 201080
4 200855
5 201251
6 200939
7 200828
8 200824
9 200621
10 201121
11 200918
12 200916
13 200915
14 201014
15 200912
16 200612
17 20089
18 20118
19 20087
20 20137

About Roberto Lublinerman

Roberto Lublinerman is a scholar working on Hardware and Architecture, Computational Theory and Mathematics, Computer Networks and Communications, Software and Computer Vision and Pattern Recognition, having authored 22 papers that have together received 648 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (11 papers), Embedded Systems Design Techniques (8 papers), Formal Methods in Verification (6 papers), Distributed systems and fault tolerance (5 papers), Model-Driven Software Engineering Techniques (4 papers), Advanced Data Storage Technologies (4 papers), Advanced Vision and Imaging (3 papers) and Distributed and Parallel Computing Systems (3 papers). The work is most often cited by research in Hardware and Architecture (285 citations), Software (78 citations), Computational Theory and Mathematics (199 citations), Computer Vision and Pattern Recognition (189 citations) and Artificial Intelligence (185 citations). Roberto Lublinerman has collaborated with scholars based in United States, Finland and France. 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, Lecture notes in computer science, 2008 Design, Automation and Test in Europe and SMARTech Repository (Georgia Institute of Technology).

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.

Explore authors with similar magnitude of impact