Neil M. Schweitzer

5.5k citations
52 papers · 4.7k indexed · 2 hit papers · h-index 30

Neil M. Schweitzer

51 papers receiving 4.7k citations

Hit Papers

Bridging the complexit...16520152026201820222505007501000

Peers

Neil M. Schweitzer
Comparison fields: 5 of 68
  • Catalysis 1.7k
  • Inorganic Chemistry 1.8k
  • Renewable Energy, Sustainability and the Environment 1.5k
  • Materials Chemistry 3.7k
  • Process Chemistry and Technology 176
Replace Marco Ranocchiari with:
Marco Ranocchiari Switzerland
Shinya Furukawa Japan
Mihail Mihaylov Bulgaria
Gianvito Vilé Italy
Mi Peng China
Frédéric Thibault‐Starzyk France
Adam S. Hoffman United States
Ursula Bentrup Germany
Sai Chen China
Dmitry E. Doronkin Germany
Neil M. Schweitzer relative to Marco Ranocchiari Switzerland Marco Ranocchiari's profile →
Citations per field
00.5×1.5×
Marco Ranocchiari · 1×
Citations per year

Countries citing papers authored by Neil M. Schweitzer

Since Specialization
Citations

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

Fields of papers citing papers by Neil M. Schweitzer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Neil M. Schweitzer. 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 Neil M. Schweitzer. The network helps show where Neil M. Schweitzer may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20256
3 20252
4 20246
5 202426
6
Bridging the complexity gap in computational heterogeneous catalysis with machine learningbreakdown →
2023165
7 202278
8 20213
9 202026
10 201873
11 201730
12 201738
13 2016222
14 2015141
15
Identification of active sites in CO oxidation and water-gas shift over supported Pt catalystsbreakdown →
20151106
16 2015171
17 201416
18 201467
19 201058
20 20073

About Neil M. Schweitzer

Neil M. Schweitzer is a scholar working on Catalysis, Inorganic Chemistry and Materials Chemistry, having authored 52 papers that have together received 4.7k indexed citations. Recurring topics across this work include Catalytic Processes in Materials Science (28 papers), Metal-Organic Frameworks: Synthesis and Applications (21 papers), Catalysis and Oxidation Reactions (16 papers), Electrocatalysts for Energy Conversion (8 papers), Machine Learning in Materials Science (6 papers), Advanced Chemical Physics Studies (6 papers), Catalysis and Hydrodesulfurization Studies (5 papers) and Catalysts for Methane Reforming (4 papers). The work is most often cited by research in Catalysis (1.7k citations), Inorganic Chemistry (1.8k citations) and Renewable Energy, Sustainability and the Environment (1.5k citations). Neil M. Schweitzer has collaborated with scholars based in United States, Saudi Arabia and China. Frequent co-authors include Peter C. Stair, Jeffrey T. Miller, Laurence D. Marks, Ahmet Güleç, Galen D. Stucky, Kunlun Ding, Alexis M. Johnson, Omar K. Farha, Joseph T. Hupp and Suljo Linic. Their work appears in journals such as Science, Journal of the American Chemical Society and Angewandte Chemie International Edition.

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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