Max J. Hoffmann

1.3k citations
15 papers · 1.1k · h-index 13

Impact in

Papers in

    • Catalytic Processes in Materials Science 9
    • Machine Learning in Materials Science 6
    • Ammonia Synthesis and Nitrogen Reduction 4
    • Catalysis and Oxidation Reactions 4

Max J. Hoffmann

15 papers receiving 1.1k citations

Peers

Max J. Hoffmann
Comparison fields: 5 of 63
  • Catalysis 530
  • Renewable Energy, Sustainability and the Environment 379
  • Materials Chemistry 865
  • Process Chemistry and Technology 31
  • Inorganic Chemistry 98
Replace David D. Landis with:
David D. Landis Denmark
Keld T. Lundgaard United States
Carsten Stegelmann Denmark
José Antonio Garrido Torres United States
Vivien Petzold Denmark
Marco Vanin Denmark
M. M. Montemore United States
Prateek Mehta United States
Craig Plaisance United States
José L. C. Fajín Portugal
Max J. Hoffmann relative to David D. Landis Denmark David D. Landis's profile →
Citations per field
00.5×1.5×
David D. Landis · 1×
Citations per year

Countries citing papers authored by Max J. Hoffmann

Since Specialization
Citations

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

Fields of papers citing papers by Max J. Hoffmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Max J. Hoffmann. 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 Max J. Hoffmann. The network helps show where Max J. Hoffmann may publish in the future.

Co-authors

The 25 scholars most cited alongside Max J. Hoffmann, 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 Max J. Hoffmann Line = papers co-authored together Max J. Hoffmann links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2015406
2 2019252
3 2013113
4 2014106
5 201542
6 201531
7 201831
8 201829
9 201722
10 201622
11 201721
12 201117
13 201313
14 201711
15 20191

About Max J. Hoffmann

Max J. Hoffmann is a scholar working on Materials Chemistry, Catalysis, Atomic and Molecular Physics, and Optics, Organic Chemistry and Statistical and Nonlinear Physics, having authored 15 papers that have together received 1.1k indexed citations. Recurring topics across this work include Catalytic Processes in Materials Science (9 papers), Machine Learning in Materials Science (6 papers), Ammonia Synthesis and Nitrogen Reduction (4 papers), Catalysis and Oxidation Reactions (4 papers), Advanced Chemical Physics Studies (3 papers), Polymer Surface Interaction Studies (2 papers), Nanomaterials for catalytic reactions (2 papers) and Complex Network Analysis Techniques (2 papers). The work is most often cited by research in Catalysis (530 citations), Renewable Energy, Sustainability and the Environment (379 citations), Materials Chemistry (865 citations), Process Chemistry and Technology (31 citations) and Inorganic Chemistry (98 citations). Max J. Hoffmann has collaborated with scholars based in United States, Germany and Denmark. Frequent co-authors include Thomas Bligaard, Andrew J. Medford, Karsten Reuter, Sebastian Matera, Sean Fitzgibbon, Jens K. Nørskov, Adam C. Lausche, Chuan Shi, Kirsten T. Winther and Osman Mamun. Their work appears in journals such as The Journal of Chemical Physics, ACS Catalysis, Catalysis Today, Catalysis Letters and The Journal of Physical Chemistry C.

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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