Hilal Daglar

2.0k total citations · 2 hit papers
20 papers, 1.6k citations indexed

About

Hilal Daglar is a scholar working on Inorganic Chemistry, Materials Chemistry and Mechanical Engineering. According to data from OpenAlex, Hilal Daglar has authored 20 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Inorganic Chemistry, 15 papers in Materials Chemistry and 11 papers in Mechanical Engineering. Recurrent topics in Hilal Daglar's work include Metal-Organic Frameworks: Synthesis and Applications (19 papers), Membrane Separation and Gas Transport (9 papers) and Covalent Organic Framework Applications (7 papers). Hilal Daglar is often cited by papers focused on Metal-Organic Frameworks: Synthesis and Applications (19 papers), Membrane Separation and Gas Transport (9 papers) and Covalent Organic Framework Applications (7 papers). Hilal Daglar collaborates with scholars based in Türkiye, Australia and United States. Hilal Daglar's co-authors include Seda Keskın, İlknur Eruçar, Çiğdem Altıntaş, Gokhan Onder Aksu, Gökay Avcı, Hasan Can Gülbalkan, Ömer Faruk Altundal, Sadiye Velioğlu, Hakan Demir and Tu C. Le and has published in prestigious journals such as Advanced Materials, Angewandte Chemie International Edition and Coordination Chemistry Reviews.

In The Last Decade

Hilal Daglar

19 papers receiving 1.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Effect of Metal–Organic Framework (MOF) Database Selection on the Assessment of Gas Storage and Separation Potentials of MOFs

2021 278 citations Hilal Daglar, Hasan Can Gülbalkan et al. Angewandte Chemie International Edition profile →
Recent advances in computational modeling of MOFs: From molecular simulations to machine learning

2023 137 citations Hakan Demir, Hilal Daglar et al. Coordination Chemistry Reviews profile →

Peers

Hilal Daglar

IC

MC

ME

EEE

BE

Alexander Nuhnen Germany

Paulo G. M. Mileo France

Tae-Ung Yoon South Korea

Michaeel Kazi United States

Nicolas Heymans Belgium

Tom Van Assche Belgium

Cantwell G. Carson United States

Houxiao Wu China

İlknur Eruçar Türkiye

Çiğdem Altıntaş Türkiye

Alexander Nuhnen Germany

Hilal Daglar

788 ×0.7

IC

702 ×0.7

MC

566 ×1.0

ME

208 ×0.9

EEE

119 ×0.7

BE

Citations per year, relative to Hilal Daglar Hilal Daglar (= 1×) peers Alexander Nuhnen

Countries citing papers authored by Hilal Daglar

Since Specialization

Citations

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

Fields of papers citing papers by Hilal Daglar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hilal Daglar

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

All Works

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20 of 20 papers shown

1.

Zhang, Ruihua, Hilal Daglar, Chun Tang, et al.. (2024). Balancing volumetric and gravimetric capacity for hydrogen in supramolecular crystals. Nature Chemistry. 16(12). 1982–1988. 26 indexed citations

2.

Daglar, Hilal, Hasan Can Gülbalkan, Gokhan Onder Aksu, & Seda Keskın. (2024). Computational Simulations of Metal–Organic Frameworks to Enhance Adsorption Applications. Advanced Materials. 37(52). e2405532–e2405532. 25 indexed citations

3.

Daglar, Hilal, Seda Keskın, & Randall Q. Snurr. (2024). Exploring the Effect of Framework Flexibility on Water Adsorption in the Metal–Organic Framework NbOFFIVE-1-Ni Using Molecular Modeling. The Journal of Physical Chemistry C. 128(44). 18913–18922.

4.

Daglar, Hilal, et al.. (2023). Integrating Molecular Simulations with Machine Learning Guides in the Design and Synthesis of [BMIM][BF₄]/MOF Composites for CO₂/N₂ Separation. ACS Applied Materials & Interfaces. 15(13). 17421–17431. 37 indexed citations

5.

Demir, Hakan, Hilal Daglar, Hasan Can Gülbalkan, Gokhan Onder Aksu, & Seda Keskın. (2023). Recent advances in computational modeling of MOFs: From molecular simulations to machine learning. Coordination Chemistry Reviews. 484. 215112–215112. 137 indexed citations breakdown →

6.

Daglar, Hilal, Çiğdem Altıntaş, İlknur Eruçar, et al.. (2022). Metal-organic framework-based materials for the abatement of air pollution and decontamination of wastewater. Chemosphere. 303(Pt 2). 135082–135082. 68 indexed citations

7.

Daglar, Hilal & Seda Keskın. (2022). Combining Machine Learning and Molecular Simulations to Unlock Gas Separation Potentials of MOF Membranes and MOF/Polymer MMMs. ACS Applied Materials & Interfaces. 14(28). 32134–32148. 96 indexed citations

8.

Daglar, Hilal, et al.. (2021). Prediction of O₂/N₂ Selectivity in Metal–Organic Frameworks via High-Throughput Computational Screening and Machine Learning. ACS Applied Materials & Interfaces. 14(1). 736–749. 53 indexed citations

9.

Daglar, Hilal, Hasan Can Gülbalkan, Gökay Avcı, et al.. (2021). Effect of Metal–Organic Framework (MOF) Database Selection on the Assessment of Gas Storage and Separation Potentials of MOFs. Angewandte Chemie International Edition. 60(14). 7828–7837. 278 indexed citations breakdown →

10.

Daglar, Hilal, İlknur Eruçar, & Seda Keskın. (2021). Recent advances in simulating gas permeation through MOF membranes. Materials Advances. 2(16). 5300–5317. 34 indexed citations

11.

Daglar, Hilal, et al.. (2021). MOF-based MMMs breaking the upper bounds of polymers for a large variety of gas separations. Separation and Purification Technology. 281. 119811–119811. 62 indexed citations

12.

Daglar, Hilal, Hasan Can Gülbalkan, Gökay Avcı, et al.. (2021). Effect of Metal–Organic Framework (MOF) Database Selection on the Assessment of Gas Storage and Separation Potentials of MOFs. Angewandte Chemie. 133(14). 7907–7916. 21 indexed citations

13.

Aksu, Gokhan Onder, Hilal Daglar, Çiğdem Altıntaş, & Seda Keskın. (2020). Computational Selection of High-Performing Covalent Organic Frameworks for Adsorption and Membrane-Based CO₂/H₂ Separation. The Journal of Physical Chemistry C. 124(41). 22577–22590. 48 indexed citations

14.

Daglar, Hilal, İlknur Eruçar, & Seda Keskın. (2020). Exploring the performance limits of MOF/polymer MMMs for O2/N2 separation using computational screening. Journal of Membrane Science. 618. 118555–118555. 57 indexed citations

15.

Daglar, Hilal & Seda Keskın. (2020). Recent advances, opportunities, and challenges in high-throughput computational screening of MOFs for gas separations. Coordination Chemistry Reviews. 422. 213470–213470. 200 indexed citations

16.

Altıntaş, Çiğdem, Gökay Avcı, Hilal Daglar, et al.. (2019). An extensive comparative analysis of two MOF databases: high-throughput screening of computation-ready MOFs for CH₄ and H₂ adsorption. Journal of Materials Chemistry A. 7(16). 9593–9608. 102 indexed citations

17.

Daglar, Hilal & Seda Keskın. (2019). High‐Throughput Screening of Metal Organic Frameworks as Fillers in Mixed Matrix Membranes for Flue Gas Separation. Advanced Theory and Simulations. 2(11). 31 indexed citations

18.

Daglar, Hilal & Seda Keskın. (2018). Computational Screening of Metal–Organic Frameworks for Membrane-Based CO₂/N₂/H₂O Separations: Best Materials for Flue Gas Separation. The Journal of Physical Chemistry C. 122(30). 17347–17357. 97 indexed citations

19.

Altıntaş, Çiğdem, et al.. (2018). Computer simulations of 4240 MOF membranes for H₂/CH₄ separations: insights into structure–performance relations. Journal of Materials Chemistry A. 6(14). 5836–5847. 63 indexed citations

20.

Altıntaş, Çiğdem, Gökay Avcı, Hilal Daglar, et al.. (2018). Database for CO₂ Separation Performances of MOFs Based on Computational Materials Screening. ACS Applied Materials & Interfaces. 10(20). 17257–17268. 136 indexed citations

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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