Daniel Merkle

About Daniel Merkle

Daniel Merkle, With an exceptional h-index of 27 and a recent h-index of 18 (since 2020), a distinguished researcher at Syddansk Universitet, specializes in the field of Algorithmic Cheminformatics, Cheminformatics, Algorithmics, Formal Methods, Data Science.

His recent articles reflect a diverse array of research interests and contributions to the field:

Reaction Rebalancing: A Novel Approach to Curating Reaction Databases

On the realisability of chemical pathways

Reconciling Inconsistent Molecular Structures from Biochemical Databases

Check for updates Reconciling Inconsistent Molecular Structures from Biochemical Databases

Representing catalytic mechanisms with rule composition

Efficient Modular Graph Transformation Rule Application

Rewriting theory for the life sciences: A unifying theory of CTMC semantics

Defining autocatalysis in chemical reaction networks

Daniel Merkle Information

University

Position

Professor

Citations(all)

4795

Citations(since 2020)

1275

Cited By

4006

hIndex(all)

27

hIndex(since 2020)

18

i10Index(all)

56

i10Index(since 2020)

30

Email

University Profile Page

Google Scholar

Daniel Merkle Skills & Research Interests

Algorithmic Cheminformatics

Cheminformatics

Algorithmics

Formal Methods

Data Science

Top articles of Daniel Merkle

Reaction Rebalancing: A Novel Approach to Curating Reaction Databases

2024/3/22

On the realisability of chemical pathways

2023/10/8

Reconciling Inconsistent Molecular Structures from Biochemical Databases

2023/10/8

Jakob Lykke Andersen
Jakob Lykke Andersen

H-Index: 9

Daniel Merkle
Daniel Merkle

H-Index: 17

Check for updates Reconciling Inconsistent Molecular Structures from Biochemical Databases

Bioinformatics Research and Applications: 19th International Symposium, ISBRA 2023, Wrocław, Poland, October 9–12, 2023, Proceedings

2023/10/7

Jakob Lykke Andersen
Jakob Lykke Andersen

H-Index: 9

Daniel Merkle
Daniel Merkle

H-Index: 17

Representing catalytic mechanisms with rule composition

Journal of Chemical Information and Modeling

2022/11/3

Efficient Modular Graph Transformation Rule Application

arXiv preprint arXiv:2201.04360

2022/1/12

Daniel Merkle
Daniel Merkle

H-Index: 17

Rewriting theory for the life sciences: A unifying theory of CTMC semantics

Theoretical Computer Science

2021/9/7

Daniel Merkle
Daniel Merkle

H-Index: 17

Defining autocatalysis in chemical reaction networks

arXiv preprint arXiv:2107.03086

2021/7/7

Graph transformation for enzymatic mechanisms

Bioinformatics

2021/7/1

Cayley Graphs of Semigroups Applied to Atom Tracking in Chemistry

Journal of Computational Biology

2021/7/1

Walter Fontana
Walter Fontana

H-Index: 34

Daniel Merkle
Daniel Merkle

H-Index: 17

Generic context-aware group contributions

IEEE/ACM Transactions on Computational Biology and Bioinformatics

2020/6/1

A generic framework for engineering graph canonization algorithms

2020/4/11

Daniel Merkle
Daniel Merkle

H-Index: 17

Combining graph transformations and semigroups for isotopic labeling design

Journal of Computational Biology

2020/2/1

Daniel Merkle
Daniel Merkle

H-Index: 17

Atom tracking using cayley graphs

2020

Daniel Merkle
Daniel Merkle

H-Index: 17

See List of Professors in Daniel Merkle University(Syddansk Universitet)