Javier Heras‐Domingo
- Materials Chemistry top 10%
- Renewable Energy, Sustainability and the Environment top 5%
- Electrical and Electronic Engineering
- Computational Theory and Mathematics top 5%
- Catalysis top 10%
- Co-authors
- Zachary W. UlissiAbhishek DasAnuroop SriramMuhammed ShuaibiC. Lawrence ZitnickSiddharth GoyalBrandon M. WoodWeihua Hu
- Topics
- Electrocatalysts for Energy Conversion (10 papers)Machine Learning in Materials Science (8 papers)Catalytic Processes in Materials Science (7 papers)
- Partner nations
- SpainUnited StatesSwitzerland
In The Last Decade
Javier Heras‐Domingo
16 papers receiving 872 citations
Hit Papers
Peers
Comparison fields: 5 of 64
- Materials Chemistry 698
- Renewable Energy, Sustainability and the Environment 375
- Electrical and Electronic Engineering 205
- Computational Theory and Mathematics 142
- Catalysis 137
Countries citing papers authored by Javier Heras‐Domingo
This map shows the geographic impact of Javier Heras‐Domingo'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 Javier Heras‐Domingo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Javier Heras‐Domingo more than expected).
Fields of papers citing papers by Javier Heras‐Domingo
This network shows the impact of papers produced by Javier Heras‐Domingo. 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 Javier Heras‐Domingo. The network helps show where Javier Heras‐Domingo may publish in the future.
Co-authorship network of co-authors of Javier Heras‐Domingo
This figure shows the co-authorship network connecting the top 25 collaborators of Javier Heras‐Domingo. A scholar is included among the top collaborators of Javier Heras‐Domingo 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 Javier Heras‐Domingo. Javier Heras‐Domingo 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 | 2 | |
| 3 | 41 | |
| 4 | 2 | |
| 5 | 10 | |
| 6 | 28 | |
| 7 | The Open Catalyst 2022 (OC22) Dataset and Challenges for Oxide Electrocatalystsbreakdown → | 174 |
| 8 | 11 | |
| 9 | 11 | |
| 10 | Open Catalyst 2020 (OC20) Dataset and Community Challengesbreakdown → | 440 |
| 11 | 29 | |
| 12 | 12 | |
| 13 | 64 | |
| 14 | 14 | |
| 15 | 12 | |
| 16 | 30 | |
| 17 | 20 |
About Javier Heras‐Domingo
Javier Heras‐Domingo is a scholar working on Renewable Energy, Sustainability and the Environment, Electrochemistry and Materials Chemistry, having authored 17 papers that have together received 900 indexed citations. Recurring topics across this work include Electrocatalysts for Energy Conversion (10 papers), Machine Learning in Materials Science (8 papers) and Catalytic Processes in Materials Science (7 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (375 citations), Catalysis (137 citations) and Materials Chemistry (698 citations). Javier Heras‐Domingo has collaborated with scholars based in Spain, United States and Switzerland. Frequent co-authors include Zachary W. Ulissi, Abhishek Das, Anuroop Sriram, Muhammed Shuaibi, C. Lawrence Zitnick, Siddharth Goyal, Brandon M. Wood, Weihua Hu, Morgane Rivière and Aini Palizhati. Their work appears in journals such as Journal of the American Chemical Society, Advanced Materials and ACS Catalysis.
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.