Saumil Chheda

55 total papers · 1.5k total citations
18 papers, 1.0k citations indexed

About

Saumil Chheda is a scholar working on Inorganic Chemistry, Materials Chemistry and Ocean Engineering. According to data from OpenAlex, Saumil Chheda has authored 18 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Inorganic Chemistry, 12 papers in Materials Chemistry and 3 papers in Ocean Engineering. Recurrent topics in Saumil Chheda's work include Metal-Organic Frameworks: Synthesis and Applications (13 papers), Machine Learning in Materials Science (6 papers) and Catalytic Processes in Materials Science (4 papers). Saumil Chheda is often cited by papers focused on Metal-Organic Frameworks: Synthesis and Applications (13 papers), Machine Learning in Materials Science (6 papers) and Catalytic Processes in Materials Science (4 papers). Saumil Chheda collaborates with scholars based in United States, Germany and Saudi Arabia. Saumil Chheda's co-authors include Laura Gagliardi, Omar M. Yaghi, Joachim Sauer, Nikita Hanikel, WooSeok Jeong, Hao Lyu, Xiaokun Pei, J. Ilja Siepmann, Ali H. Alawadhi and Zhiling Zheng and has published in prestigious journals such as Nature, Science and Journal of the American Chemical Society.

In The Last Decade

Saumil Chheda

18 papers receiving 1.0k citations

Hit Papers

Evolution of water struct... 2021 2026 2022 2024 2021 2024 2023 2023 2024 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Saumil Chheda 520 519 326 234 125 18 1.0k
Jianyu Wang 515 1.0× 440 0.8× 164 0.5× 202 0.9× 102 0.8× 23 902
WooSeok Jeong 461 0.9× 400 0.8× 343 1.1× 199 0.9× 88 0.7× 29 927
Yu Tao 494 0.9× 469 0.9× 153 0.5× 250 1.1× 115 0.9× 17 855
Wenlong Xiang 414 0.8× 475 0.9× 351 1.1× 97 0.4× 157 1.3× 24 896
Bardiya Valizadeh 572 1.1× 586 1.1× 289 0.9× 110 0.5× 132 1.1× 15 865
Nadeen Al‐Janabi 603 1.2× 651 1.3× 175 0.5× 267 1.1× 76 0.6× 12 1.0k
Pradip Chowdhury 558 1.1× 723 1.4× 128 0.4× 344 1.5× 71 0.6× 17 983
Lei Ye 420 0.8× 405 0.8× 171 0.5× 217 0.9× 51 0.4× 35 819
Febrian Hillman 389 0.7× 434 0.8× 255 0.8× 289 1.2× 85 0.7× 19 843
Sebastian Storck 667 1.3× 314 0.6× 252 0.8× 141 0.6× 100 0.8× 11 1.0k

Countries citing papers authored by Saumil Chheda

Since Specialization
Citations

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

Fields of papers citing papers by Saumil Chheda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saumil Chheda

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

All Works

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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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