Shruti Venkatram

959 citations
10 papers · 709 indexed · h-index 9
Topics
Machine Learning in Materials Science (5 papers)Computational Drug Discovery Methods (5 papers)Analytical Chemistry and Chromatography (2 papers)
Partner nations
United States

In The Last Decade

Shruti Venkatram

10 papers receiving 691 citations

Peers

Shruti Venkatram
Comparison fields: 5 of 82
  • Materials Chemistry 346
  • Electrical and Electronic Engineering 240
  • Computational Theory and Mathematics 138
  • Biomedical Engineering 137
  • Polymers and Plastics 136
Replace C.B. Pradeep Kumar with:
C.B. Pradeep Kumar India
Tomáš Syrový Czechia
Yoshi W. Marien Belgium
Tong Zou China
Mahmoud Salimi Iran
Ge Ma China
Enrique Saldívar‐Guerra Mexico
L. Parashuram India
Lunyang Liu China
Shanshan Wang China
Shruti Venkatram relative to C.B. Pradeep Kumar India C.B. Pradeep Kumar's profile →
Citations per field
00.5×
C.B. Pradeep Kumar · 1×
Citations per year

Countries citing papers authored by Shruti Venkatram

Since Specialization
Citations

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

Fields of papers citing papers by Shruti Venkatram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shruti Venkatram

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

All Works

10 of 10 papers shown
#WorkIndexed citations
1 27
2 7
3 23
4 22
5 182
6 55
7 66
8 116
9 176
10 35

About Shruti Venkatram

Shruti Venkatram is a scholar working on Computational Theory and Mathematics, Bioengineering and Automotive Engineering, having authored 10 papers that have together received 709 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (5 papers), Computational Drug Discovery Methods (5 papers) and Analytical Chemistry and Chromatography (2 papers). The work is most often cited by research in Polymers and Plastics (136 citations), Computational Theory and Mathematics (138 citations) and Materials Chemistry (346 citations). Shruti Venkatram has collaborated with scholars based in United States. Frequent co-authors include Rampi Ramprasad, Chiho Kim, Anand Chandrasekaran, Rohit Batra, Lihua Chen, Rishi Gurnani, Deepak Kamal, Pranav Shetty, Tran Doan Huan and Blair Brettmann. Their work appears in journals such as The Journal of Chemical Physics, Journal of Applied Physics and Chemistry of Materials.

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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