Neil M. Schweitzer
- Materials Chemistry top 1%
- Inorganic Chemistry top 0.5%
- Catalysis top 0.5%
- Renewable Energy, Sustainability and the Environment top 1%
- Organic Chemistry top 2%
- Co-authors
- Peter C. StairJeffrey T. MillerLaurence D. MarksAhmet GüleçGalen D. StuckyKunlun DingAlexis M. JohnsonOmar K. Farha
- Topics
- Catalytic Processes in Materials Science (28 papers)Metal-Organic Frameworks: Synthesis and Applications (21 papers)Catalysis and Oxidation Reactions (16 papers)
- Partner nations
- United StatesSaudi ArabiaChina
In The Last Decade
Neil M. Schweitzer
51 papers receiving 4.7k citations
Hit Papers
Peers
Comparison fields: 5 of 68
- Materials Chemistry 3.7k
- Inorganic Chemistry 1.8k
- Catalysis 1.7k
- Renewable Energy, Sustainability and the Environment 1.5k
- Organic Chemistry 732
Countries citing papers authored by Neil M. Schweitzer
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
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 of co-authors of Neil M. Schweitzer
This figure shows the co-authorship network connecting the top 25 collaborators of Neil M. Schweitzer. A scholar is included among the top collaborators of Neil M. Schweitzer 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 Neil M. Schweitzer. Neil M. Schweitzer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 6 | |
| 3 | 2 | |
| 4 | 6 | |
| 5 | 26 | |
| 6 | Bridging the complexity gap in computational heterogeneous catalysis with machine learningbreakdown → | 165 |
| 7 | 78 | |
| 8 | 3 | |
| 9 | 26 | |
| 10 | 73 | |
| 11 | 30 | |
| 12 | 38 | |
| 13 | 222 | |
| 14 | 141 | |
| 15 | Identification of active sites in CO oxidation and water-gas shift over supported Pt catalystsbreakdown → | 1106 |
| 16 | 171 | |
| 17 | 16 | |
| 18 | 67 | |
| 19 | 58 | |
| 20 | 3 |
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) and Catalysis and Oxidation Reactions (16 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.