Mahdi Imani

Biochemistry, Genetics and Molecular BiologyComputer Science

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 10 papers. Top paper: “Optimal Recursive Expert-Enabled Inference in Regulatory Networks”.

Optimal Recursive Expert-Enabled Inference in Regulatory Networks

IEEE Control Systems Letters(2022)10.1109/lcsys.2022.3229054

N/A

0DataRank · unranked

23 citations

Seyede Fatemeh Ghoreishi, Mahdi Imani, Amirhossein Ravari

Inference of regulatory networks through temporally sparse data

Frontiers in Control Engineering(2022)10.3389/fcteg.2022.1017256

N/A

0DataRank · unranked

19 citations

Mahdi Imani, Mohammad Alali

Reinforcement Learning Data-Acquiring for Causal Inference of Regulatory Networks

PubMed(2023)10.23919/acc55779.2023.10155867

N/A

0DataRank · unranked

17 citations

Mahdi Imani, Mohammad Alali

Optimal Inference of Hidden Markov Models Through Expert-Acquired Data

IEEE Transactions on Artificial Intelligence(2024)10.1109/tai.2024.3358261

N/A

0DataRank · unranked

30 citations

Seyede Fatemeh Ghoreishi, Mahdi Imani, Amirhossein Ravari

Deep reinforcement learning sensor scheduling for effective monitoring of dynamical systems

Systems Science & Control Engineering(2024)10.1080/21642583.2024.2329260

N/A

0DataRank · unranked

21 citations

Armita Kazeminajafabadi, Mahdi Imani, Mohammad Alali

Deep Reinforcement Learning Data Collection for Bayesian Inference of Hidden Markov Models

IEEE Transactions on Artificial Intelligence(2024)10.1109/tai.2024.3515939

N/A

0DataRank · unranked

9 citations

Mahdi Imani, Mohammad Alali

An optimal Bayesian intervention policy in response to unknown dynamic cell stimuli

Information Sciences(2024)10.1016/j.ins.2024.120440

N/A

0DataRank · unranked

10 citations

Mahdi Imani, Seyed Hamid Hosseini

Modeling Defensive Response of Cells to Therapies: Equilibrium Interventions for Regulatory Networks

IEEE/ACM Transactions on Computational Biology and Bioinformatics(2024)10.1109/tcbb.2024.3383814

N/A

0DataRank · unranked

7 citations

Mahdi Imani, Seyed Hamid Hosseini

Bayesian Lookahead Perturbation Policy for Inference of Regulatory Networks

IEEE/ACM Transactions on Computational Biology and Bioinformatics(2024)10.1109/tcbb.2024.3402220

N/A

0DataRank · unranked

6 citations

Mahdi Imani, Mohammad Alali

Bayesian topology inference of regulatory networks under partial observability

Results in Control and Optimization(2025)10.1016/j.rico.2025.100570

N/A

0DataRank · unranked

0 citations

Mahdi Imani, Mohammad Alali