Aini Palizhati

1.1k citations
8 papers · 677 indexed · 1 hit paper · h-index 8
Topics
Machine Learning in Materials Science (7 papers)Electrocatalysts for Energy Conversion (4 papers)Advanced Photocatalysis Techniques (2 papers)
Partner nations
United States

In The Last Decade

Aini Palizhati

8 papers receiving 656 citations

Hit Papers

Open Catalyst 2020 (OC20) Dataset and Community Challenges20212026202220242021100200300400

Peers

Aini Palizhati
Comparison fields: 5 of 62
  • Materials Chemistry 583
  • Renewable Energy, Sustainability and the Environment 197
  • Computational Theory and Mathematics 135
  • Catalysis 125
  • Electrical and Electronic Engineering 111
Replace Muhammed Shuaibi with:
Muhammed Shuaibi United States
Junwoong Yoon United States
Morgane Rivière United States
Javier Heras‐Domingo Spain
Lauren Takahashi Japan
Pei‐Lin Kang China
Steen Lysgaard Denmark
Eric A. Walker United States
Osman Mamun United States
Jacob R. Boes United States
Aini Palizhati relative to Muhammed Shuaibi United States Muhammed Shuaibi's profile →
Citations per field
00.5×1.7×
Muhammed Shuaibi · 1×
Citations per year

Countries citing papers authored by Aini Palizhati

Since Specialization
Citations

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

Fields of papers citing papers by Aini Palizhati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aini Palizhati. 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 Aini Palizhati. The network helps show where Aini Palizhati may publish in the future.

Co-authorship network of co-authors of Aini Palizhati

This figure shows the co-authorship network connecting the top 25 collaborators of Aini Palizhati. A scholar is included among the top collaborators of Aini Palizhati 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 Aini Palizhati. Aini Palizhati is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
#WorkIndexed citations
1 54
2 15
3 21
4 48
5
Open Catalyst 2020 (OC20) Dataset and Community Challengesbreakdown →
440
6 12
7 52
8 35

About Aini Palizhati

Aini Palizhati is a scholar working on Renewable Energy, Sustainability and the Environment, Catalysis and Materials Chemistry, having authored 8 papers that have together received 677 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (7 papers), Electrocatalysts for Energy Conversion (4 papers) and Advanced Photocatalysis Techniques (2 papers). The work is most often cited by research in Catalysis (125 citations), Materials Chemistry (583 citations) and Renewable Energy, Sustainability and the Environment (197 citations). Aini Palizhati has collaborated with scholars based in United States. Frequent co-authors include Zachary W. Ulissi, Kevin Tran, C. Lawrence Zitnick, Brandon M. Wood, Abhishek Das, Muhammed Shuaibi, Morgane Rivière, Weihua Hu, Siddharth Goyal and Javier Heras‐Domingo. Their work appears in journals such as The Journal of Chemical Physics, Scientific Reports 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.

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