Renata Reiser

103 papers receiving 931 citations

Peers

Renata Reiser
Comparison fields: 5 of 54
  • Management Science and Operations Research 607
  • Computational Theory and Mathematics 426
  • Statistics and Probability 189
  • Artificial Intelligence 520
  • Hardware and Architecture 72
Replace Hung T. Nguyen with:
Hung T. Nguyen United States
Ganesh Ghorai India
Richard Spillman United States
R. A. Borzooei Iran
Kataŕına Cechlárová Slovakia
Kousha Etessami United States
Alexandre Evfimievski United States
Alexander Rybalov United States
Matti J„ärvisalo Finland
Renata Reiser relative to Hung T. Nguyen United States Hung T. Nguyen's profile →
Citations per field
00.5×10×15×20×24×
Hung T. Nguyen · 1×
Citations per year

Countries citing papers authored by Renata Reiser

Since Specialization
Citations

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

Fields of papers citing papers by Renata Reiser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Renata Reiser, 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 Renata Reiser Line = papers co-authored together Renata Reiser links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 125 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013140
2 200993
3 201174
4
Towards interval analysis of the load uncertainty in power electric systems
200440
5 201435
6 201332
7 200928
8
An Approach to Interval-Valued R-Implications and Automorphisms
200922
9 201422
10 201321
11 201819
12 202118
13 202117
14 201317
15 201514
16 201614
17 201713
18 200413
19 201912
20 201311

About Renata Reiser

Renata Reiser is a scholar working on Artificial Intelligence, Management Science and Operations Research, Computational Theory and Mathematics, Hardware and Architecture and Statistics and Probability, having authored 125 papers that have together received 963 indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (51 papers), Fuzzy Logic and Control Systems (41 papers), Quantum Computing Algorithms and Architecture (19 papers), Parallel Computing and Optimization Techniques (18 papers), Fuzzy Systems and Optimization (18 papers), Advanced Algebra and Logic (17 papers), Rough Sets and Fuzzy Logic (17 papers) and Cloud Computing and Resource Management (14 papers). The work is most often cited by research in Management Science and Operations Research (607 citations), Computational Theory and Mathematics (426 citations), Statistics and Probability (189 citations), Artificial Intelligence (520 citations) and Hardware and Architecture (72 citations). Renata Reiser has collaborated with scholars based in Brazil, Spain and United States. Frequent co-authors include Benjamín Bedregal, Graçaliz Pereira Dimuro, Regivan Santiago, Humberto Bustince, Adenauer Yamin, Carlos López-Molina, Vicenç Torra, Michał Baczyński, Hélida Santos and Daniel Paternain. Their work appears in journals such as Information Sciences, International Journal of Intelligent Systems, International Journal of Approximate Reasoning, Engineering Applications of Artificial Intelligence and International Journal of Uncertainty Fuzziness and Knowledge-Based Systems.

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