Patrick Hirschle

1.3k citations
15 papers · 1.1k · h-index 14

Impact in

Papers in

    • Metal-Organic Frameworks: Synthesis and Applications 15
    • Machine Learning in Materials Science 3
    • Covalent Organic Framework Applications 2
    • Luminescence and Fluorescent Materials 2

Patrick Hirschle

15 papers receiving 1.1k citations

Peers

Patrick Hirschle
Comparison fields: 5 of 83
  • Inorganic Chemistry 735
  • Biomaterials 178
  • Materials Chemistry 621
  • Biomedical Engineering 342
  • Polymers and Plastics 104
Replace Claudia Orellana‐Tavra with:
Claudia Orellana‐Tavra United Kingdom
Huoshu Xu China
Mercedes Linares‐Moreau Austria
Elena Bellido Spain
Harrison Lawson United States
Xiujun Yu China
Johannes W. M. Osterrieth United Kingdom
Angelika Mielcarek France
Tran Hoang United States
Salame Haddad United Kingdom
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Citations per field
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Claudia Orellana‐Tavra · 1×
Citations per year

Countries citing papers authored by Patrick Hirschle

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Hirschle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Patrick Hirschle, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Patrick Hirschle Line = papers co-authored together Patrick Hirschle links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2017204
2 2017202
3 2016142
4 2018131
5 201997
6 202092
7 201877
8 202137
9 202033
10 202129
11 201626
12 202125
13 201916
14 201815
15 20229

About Patrick Hirschle

Patrick Hirschle is a scholar working on Inorganic Chemistry, Materials Chemistry, Biomaterials, Polymers and Plastics and Ocean Engineering, having authored 15 papers that have together received 1.1k indexed citations. Recurring topics across this work include Metal-Organic Frameworks: Synthesis and Applications (15 papers), Machine Learning in Materials Science (3 papers), Dendrimers and Hyperbranched Polymers (3 papers), Enhanced Oil Recovery Techniques (3 papers), Advanced biosensing and bioanalysis techniques (2 papers), Nanoparticle-Based Drug Delivery (2 papers), Covalent Organic Framework Applications (2 papers) and Luminescence and Fluorescent Materials (2 papers). The work is most often cited by research in Inorganic Chemistry (735 citations), Biomaterials (178 citations), Materials Chemistry (621 citations), Biomedical Engineering (342 citations) and Polymers and Plastics (104 citations). Patrick Hirschle has collaborated with scholars based in Germany, Spain and United Kingdom. Frequent co-authors include Stefan Wuttke, Zhe Ji, Hanna Engelke, Don C. Lamb, Joachim Oskar Rädler, Waldemar Schrimpf, Valentina Cauda, Sabine Barnert, Tobias Preiß and Miriam Höhn. Their work appears in journals such as Chemistry of Materials, Small, Journal of the American Chemical Society, Advanced Materials and CrystEngComm.

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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