Author

Mohammad Dindoost

New Jersey Institute of Technology

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Neuroscience· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 1

Frequent Co-Authors

David A. BaderiD· 1 shared Hannah HaberkerniD· 1 shared Hanspeter PfisteriD· 1 shared Jakob TroidliD· 1 shared Johannes StegmaieriD· 1 shared Michael Fekadu Shewarega· 1 shared Oliver Alvarado Rodriguez· 1 shared P. Harth· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

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1 shared paperNeuroscience

David A. BaderORCID

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1 paper

Recent·Most cited

MoMo - Combining Neuron Morphology and Connectivity forInteractive Motif Analysis in Connectomes

Michael Fekadu Shewarega, Jakob Troidl, Oliver Alvarado Rodriguez, Mohammad Dindoost, P. Harth, Hannah Haberkern, Johannes Stegmaier, David A. Bader, Hanspeter Pfister

MoMo is an interactive visualization framework that analyzes neuron morphology-aware motifs in connectomes, enabling efficient subgraph isomorphism searches and intuitive exploration through a sketch-based interface.

IEEE Transactions on Visualization and Computer Graphics · Dec 15, 2025Peer-reviewedNeuroscience