Vidhya Gurumoorthi

3.3k total citations · 1 hit paper
9 papers, 2.9k citations indexed

About

Vidhya Gurumoorthi is a scholar working on Computational Mechanics, Computer Networks and Communications and Molecular Biology. According to data from OpenAlex, Vidhya Gurumoorthi has authored 9 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computational Mechanics, 2 papers in Computer Networks and Communications and 2 papers in Molecular Biology. Recurrent topics in Vidhya Gurumoorthi's work include Lattice Boltzmann Simulation Studies (3 papers), Machine Learning in Bioinformatics (2 papers) and Advanced Proteomics Techniques and Applications (2 papers). Vidhya Gurumoorthi is often cited by papers focused on Lattice Boltzmann Simulation Studies (3 papers), Machine Learning in Bioinformatics (2 papers) and Advanced Proteomics Techniques and Applications (2 papers). Vidhya Gurumoorthi collaborates with scholars based in United States. Vidhya Gurumoorthi's co-authors include Theresa L. Windus, Karen Schuchardt, Brett Didier, Todd Elsethagen, Jared Chase, Jun Z. Li, Lisong Sun, Bobbie‐Jo Webb‐Robertson, Christopher Oehmen and Katrina M. Waters and has published in prestigious journals such as Bioinformatics, Journal of Chemical Information and Modeling and The International Journal of High Performance Computing Applications.

In The Last Decade

Vidhya Gurumoorthi

9 papers receiving 2.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Basis Set Exchange: A Community Database for Computational Sciences

2007 2.7k citations Karen Schuchardt, Brett Didier et al. Journal of Chemical Information and Modeling profile →

Peers

Vidhya Gurumoorthi

AMPO

MC

OC

IC

SPECT

Karen Schuchardt United States

Jared Chase United States

Todd Elsethagen United States

Lisong Sun China

Dimitrios G. Liakos Germany

F.E. Jorge Brazil

R. C. Binning Puerto Rico

Aurora E. Clark United States

John E. Carpenter United States

Hrant P. Hratchian United States

Karen Schuchardt United States

Vidhya Gurumoorthi

1.0k ×1.0

AMPO

856 ×1.0

MC

826 ×1.0

OC

770 ×1.0

IC

508 ×0.9

SPECT

Citations per year, relative to Vidhya Gurumoorthi Vidhya Gurumoorthi (= 1×) peers Karen Schuchardt

Countries citing papers authored by Vidhya Gurumoorthi

Since Specialization

Citations

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

Fields of papers citing papers by Vidhya Gurumoorthi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vidhya Gurumoorthi

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

All Works

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9 of 9 papers shown

1.

Webb‐Robertson, Bobbie‐Jo, William R. Cannon, Christopher Oehmen, et al.. (2010). A support vector machine model for the prediction of proteotypic peptides for accurate mass and time proteomics. Bioinformatics. 26(13). 1677–1683. 32 indexed citations

2.

Palmer, Bruce, Vidhya Gurumoorthi, Alexandre M. Tartakovsky, & Tim Scheibe. (2010). A Component-Based Framework for Smoothed Particle Hydrodynamics Simulations of Reactive Fluid Flow in Porous Media. The International Journal of High Performance Computing Applications. 24(2). 228–239. 18 indexed citations

3.

Villa, Oreste, Daniel Chavarría-Miranda, Vidhya Gurumoorthi, Andrés Márquez, & Sriram Krishnamoorthy. (2009). Effects of floating-point non-associativity on numerical computations on massively multithreaded systems. 13 indexed citations

4.

Chin, George, et al.. (2009). Visual Analysis of Dynamic Data Streams. Information Visualization. 8(3). 212–229. 14 indexed citations

5.

Palmer, Bruce, et al.. (2009). Developing a component-based framework for subsurface simulation using the Common Component Architecture. Journal of Physics Conference Series. 180. 12064–12064. 1 indexed citations

6.

Webb‐Robertson, Bobbie‐Jo, William R. Cannon, Christopher Oehmen, et al.. (2008). A support vector machine model for the prediction of proteotypic peptides for accurate mass and time proteomics. Bioinformatics. 24(13). 1503–1509. 63 indexed citations

7.

Palmer, Bruce, Yilin Fang, Glenn Hammond, & Vidhya Gurumoorthi. (2007). Component-based framework for subsurface simulations. Journal of Physics Conference Series. 78. 12056–12056. 1 indexed citations

8.

Schuchardt, Karen, Brett Didier, Todd Elsethagen, et al.. (2007). Basis Set Exchange: A Community Database for Computational Sciences. Journal of Chemical Information and Modeling. 47(3). 1045–1052. 2702 indexed citations breakdown →

9.

Janssen, Curtis L., Joseph P. Kenny, Ida M. B. Nielsen, et al.. (2006). Enabling new capabilities and insights from quantum chemistry by using component architectures. Journal of Physics Conference Series. 46. 220–228. 14 indexed citations

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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