Heather J. Kulik
- Materials Chemistry top 1%
- Inorganic Chemistry top 0.5%
- Atomic and Molecular Physics, and Optics top 2%
- Electrical and Electronic Engineering top 5%
- Molecular Biology top 10%
- Co-authors
- Jon Paul JanetAditya NandyChenru DuanNicola MarzariTerry Z. H. GaniFang LiuTodd J. Martı́nezMatteo Cococcioni
- Topics
- Machine Learning in Materials Science (70 papers)Computational Drug Discovery Methods (36 papers)Advanced Chemical Physics Studies (30 papers)
- Journals
- NatureScienceChemical Reviews
- Partner nations
- United StatesSwitzerlandCanada
In The Last Decade
Heather J. Kulik
209 papers receiving 7.4k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Materials Chemistry 4.3k
- Inorganic Chemistry 1.6k
- Atomic and Molecular Physics, and Optics 1.3k
- Electrical and Electronic Engineering 1.2k
- Molecular Biology 1.2k
Countries citing papers authored by Heather J. Kulik
This map shows the geographic impact of Heather J. Kulik'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 Heather J. Kulik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heather J. Kulik more than expected).
Fields of papers citing papers by Heather J. Kulik
This network shows the impact of papers produced by Heather J. Kulik. 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 Heather J. Kulik. The network helps show where Heather J. Kulik may publish in the future.
Co-authorship network of co-authors of Heather J. Kulik
This figure shows the co-authorship network connecting the top 25 collaborators of Heather J. Kulik. A scholar is included among the top collaborators of Heather J. Kulik 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 Heather J. Kulik. Heather J. Kulik 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 | 1 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 33 | |
| 6 | 4 | |
| 7 | 7 | |
| 8 | 5 | |
| 9 | 0 | |
| 10 | 3 | |
| 11 | 4 | |
| 12 | 3 | |
| 13 | 27 | |
| 14 | 6 | |
| 15 | 8 | |
| 16 | 56 | |
| 17 | 1 | |
| 18 | 2 | |
| 19 | 31 | |
| 20 | 32 |
About Heather J. Kulik
Heather J. Kulik is a scholar working on Inorganic Chemistry, Catalysis and Materials Chemistry, having authored 220 papers that have together received 7.5k indexed citations. Recurring topics across this work include Machine Learning in Materials Science (70 papers), Computational Drug Discovery Methods (36 papers) and Advanced Chemical Physics Studies (30 papers). The work is most often cited by research in Inorganic Chemistry (1.6k citations), Catalysis (714 citations) and Materials Chemistry (4.3k citations). Heather J. Kulik has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include Jon Paul Janet, Aditya Nandy, Chenru Duan, Nicola Marzari, Terry Z. H. Gani, Fang Liu, Todd J. Martı́nez, Matteo Cococcioni, Damián A. Scherlis and Efthymios I. Ioannidis. Their work appears in journals such as Nature, Science and Chemical Reviews.
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.