Alisa Rupenyan

109 total papers · 1.8k total citations
49 papers, 1.3k citations indexed

About

Alisa Rupenyan is a scholar working on Control and Systems Engineering, Mechanical Engineering and Industrial and Manufacturing Engineering. According to data from OpenAlex, Alisa Rupenyan has authored 49 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Control and Systems Engineering, 15 papers in Mechanical Engineering and 12 papers in Industrial and Manufacturing Engineering. Recurrent topics in Alisa Rupenyan's work include Iterative Learning Control Systems (10 papers), Advanced Control Systems Optimization (9 papers) and Spectroscopy and Quantum Chemical Studies (8 papers). Alisa Rupenyan is often cited by papers focused on Iterative Learning Control Systems (10 papers), Advanced Control Systems Optimization (9 papers) and Spectroscopy and Quantum Chemical Studies (8 papers). Alisa Rupenyan collaborates with scholars based in Switzerland, United States and Canada. Alisa Rupenyan's co-authors include Hans Jakob Wörner, Peter M. Kraus, J. Schneider, John Lygeros, Denitsa Baykusheva, Oleg I. Tolstikhin, Lars Bojer Madsen, Frank Jensen, Lukáš Horný and G. Grassi and has published in prestigious journals such as Science, Physical Review Letters and Nature Communications.

In The Last Decade

Alisa Rupenyan

48 papers receiving 1.2k citations

Hit Papers

Measurement and laser con... 2015 2026 2018 2022 2015 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Alisa Rupenyan 815 411 134 123 119 49 1.3k
Peter Gräf 315 0.4× 63 0.2× 103 0.8× 46 0.4× 263 2.2× 95 1.8k
Guang Song 200 0.2× 179 0.4× 185 1.4× 85 0.7× 1.1k 9.7× 71 1.7k
Jie Gu 301 0.4× 124 0.3× 30 0.2× 86 0.7× 11 0.1× 116 1.3k
Pritam Ganguly 216 0.3× 106 0.3× 169 1.3× 47 0.4× 559 4.7× 28 1.4k
Martin Böck 599 0.7× 33 0.1× 190 1.4× 87 0.7× 83 0.7× 97 1.3k
Yinbo Chen 200 0.2× 65 0.2× 15 0.1× 90 0.7× 66 0.6× 66 1.4k
Michael Schreiber 667 0.8× 57 0.1× 16 0.1× 27 0.2× 124 1.0× 65 1.3k
Dong Li 301 0.4× 28 0.1× 62 0.5× 23 0.2× 54 0.5× 74 1.2k
Markus Brandstetter 651 0.8× 551 1.3× 44 0.3× 24 0.2× 110 0.9× 68 1.6k
Yu Zhuang 300 0.4× 91 0.2× 54 0.4× 413 3.4× 37 0.3× 109 1.5k

Countries citing papers authored by Alisa Rupenyan

Since Specialization
Citations

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

Fields of papers citing papers by Alisa Rupenyan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alisa Rupenyan

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

All Works

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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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