Mesrob I. Ohannessian

40 total papers · 435 total citations
16 papers, 116 citations indexed

About

Mesrob I. Ohannessian is a scholar working on Artificial Intelligence, Economics and Econometrics and Electrical and Electronic Engineering. According to data from OpenAlex, Mesrob I. Ohannessian has authored 16 papers receiving a total of 116 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 4 papers in Economics and Econometrics and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Mesrob I. Ohannessian's work include Bayesian Modeling and Causal Inference (4 papers), Smart Grid Energy Management (3 papers) and Bayesian Methods and Mixture Models (3 papers). Mesrob I. Ohannessian is often cited by papers focused on Bayesian Modeling and Causal Inference (4 papers), Smart Grid Energy Management (3 papers) and Bayesian Methods and Mixture Models (3 papers). Mesrob I. Ohannessian collaborates with scholars based in United States, France and Switzerland. Mesrob I. Ohannessian's co-authors include Munther A. Dahleh, Nathan Srebro, Mardavij Roozbehani, Donatello Materassi, Blake Woodworth, Suriya Gunasekar, Amin Karbasi, Mario Lučić, Andreas Krause and Karen Sachs and has published in prestigious journals such as IEEE Transactions on Smart Grid, ACM SIGMETRICS Performance Evaluation Review and arXiv (Cornell University).

In The Last Decade

Mesrob I. Ohannessian

16 papers receiving 111 citations

Author Peers

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

Author Last Decade Papers Cites
Mesrob I. Ohannessian 50 36 25 17 17 16 116
Heinrich Jiang 88 1.8× 4 0.1× 14 0.6× 4 0.2× 12 0.7× 16 135
Julien Pérolat 76 1.5× 4 0.1× 21 0.8× 11 0.6× 41 2.4× 13 119
Wenxiong Liao 186 3.7× 10 0.3× 5 0.2× 8 0.5× 13 0.8× 16 257
Max Hort 107 2.1× 20 0.6× 93 3.7× 5 0.3× 5 0.3× 16 218
Simon Ott 56 1.1× 4 0.1× 5 0.2× 4 0.2× 6 0.4× 12 121
Laurent Orseau 74 1.5× 3 0.1× 15 0.6× 7 0.4× 21 1.2× 13 114
Mateusz Lango 149 3.0× 48 1.3× 2 0.1× 5 0.3× 3 0.2× 16 231
Soumya Paul 45 0.9× 4 0.1× 7 0.3× 2 0.1× 16 0.9× 21 143
Natalia Ponomareva 134 2.7× 8 0.2× 6 0.2× 5 0.3× 3 0.2× 21 158
Pascal Berrang 169 3.4× 13 0.4× 6 0.2× 2 0.1× 9 0.5× 16 217

Countries citing papers authored by Mesrob I. Ohannessian

Since Specialization
Citations

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

Fields of papers citing papers by Mesrob I. Ohannessian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mesrob I. Ohannessian. 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 Mesrob I. Ohannessian. The network helps show where Mesrob I. Ohannessian may publish in the future.

Co-authorship network of co-authors of Mesrob I. Ohannessian

This figure shows the co-authorship network connecting the top 25 collaborators of Mesrob I. Ohannessian. A scholar is included among the top collaborators of Mesrob I. Ohannessian 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 Mesrob I. Ohannessian. Mesrob I. Ohannessian 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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