Shyam Dwaraknath

5.1k total citations · 2 hit papers
44 papers, 3.6k citations indexed

About

Shyam Dwaraknath is a scholar working on Materials Chemistry, Catalysis and Electrical and Electronic Engineering. According to data from OpenAlex, Shyam Dwaraknath has authored 44 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Materials Chemistry, 6 papers in Catalysis and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Shyam Dwaraknath's work include Machine Learning in Materials Science (27 papers), X-ray Diffraction in Crystallography (13 papers) and Electronic and Structural Properties of Oxides (9 papers). Shyam Dwaraknath is often cited by papers focused on Machine Learning in Materials Science (27 papers), X-ray Diffraction in Crystallography (13 papers) and Electronic and Structural Properties of Oxides (9 papers). Shyam Dwaraknath collaborates with scholars based in United States, United Kingdom and Belgium. Shyam Dwaraknath's co-authors include Kristin A. Persson, Gary S. Was, R.E. Stoller, A. Certain, M.B. Toloczko, F.А. Garner, Muratahan Aykol, Wenhao Sun, Matthew K. Horton and Samuel M. Blau and has published in prestigious journals such as Advanced Materials, Nature Communications and Chemistry of Materials.

In The Last Decade

Shyam Dwaraknath

44 papers receiving 3.5k 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.

On the use of SRIM for computing radiation damage exposure

2013 1.3k citations R.E. Stoller, M.B. Toloczko et al. Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms profile →
Accelerating the discovery of materials for clean energy in the era of smart automation

2018 572 citations Daniel P. Tabor, Loı̈c M. Roch et al. Nature Reviews Materials profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Shyam Dwaraknath United States	24	2.7k	996	430	379	309	44	3.6k
Jun Yuan China	30	2.0k 0.7×	1.2k 1.2×	222 0.5×	226 0.6×	726 2.3×	197	4.0k
Md Mahbubul Islam United States	29	2.2k 0.8×	1.3k 1.3×	140 0.3×	371 1.0×	448 1.4×	77	3.7k
Wahyu Setyawan United States	27	4.7k 1.7×	1.2k 1.2×	173 0.4×	1.1k 2.8×	580 1.9×	105	5.9k
Alexander V. Shapeev Russia	36	5.1k 1.9×	1.2k 1.2×	157 0.4×	902 2.4×	545 1.8×	98	6.1k
Richard H. Taylor United Kingdom	12	1.9k 0.7×	469 0.5×	170 0.4×	416 1.1×	258 0.8×	33	2.6k
Carlos Amador‐Bedolla Mexico	20	1.2k 0.5×	719 0.7×	124 0.3×	416 1.1×	352 1.1×	98	2.6k
Reinhard Scholz Germany	41	1.8k 0.6×	3.3k 3.3×	346 0.8×	340 0.9×	786 2.5×	209	5.4k
Zhao Wang China	26	1.7k 0.6×	733 0.7×	74 0.2×	349 0.9×	382 1.2×	160	2.8k
Garritt J. Tucker United States	31	2.8k 1.0×	466 0.5×	137 0.3×	1.2k 3.2×	280 0.9×	77	3.2k
Francesca Tavazza United States	31	2.6k 1.0×	934 0.9×	58 0.1×	411 1.1×	420 1.4×	81	3.7k

Countries citing papers authored by Shyam Dwaraknath

Since Specialization

Citations

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

Fields of papers citing papers by Shyam Dwaraknath

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shyam Dwaraknath

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

All Works

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20 of 20 papers shown

Broberg, Danny, Kyle Bystrom, Diana Dahliah, et al.. (2023). High-throughput calculations of charged point defect properties with semi-local density functional theory—performance benchmarks for materials screening applications. npj Computational Materials. 9(1). 32 indexed citations

Kingsbury, Ryan, Christopher J. Bartel, Jason M. Munro, et al.. (2022). Performance comparison of r 2 SCAN and SCAN metaGGA density functionals for solid materials via an automated, high-throughput computational workflow. Physical Review Materials. 6(1). 68 indexed citations

Kingsbury, Ryan, Andrew Rosen, Jason M. Munro, et al.. (2022). A flexible and scalable scheme for mixing computed formation energies from different levels of theory. npj Computational Materials. 8(1). 30 indexed citations

Spotte‐Smith, Evan Walter Clark, Xiaowei Xie, Tingzheng Hou, et al.. (2022). Toward a Mechanistic Model of Solid–Electrolyte Interphase Formation and Evolution in Lithium-Ion Batteries. ACS Energy Letters. 7(4). 1446–1453. 93 indexed citations

Wen, Mingjian, Samuel M. Blau, Xiaowei Xie, Shyam Dwaraknath, & Kristin A. Persson. (2022). Improving machine learning performance on small chemical reaction data with unsupervised contrastive pretraining. Chemical Science. 13(5). 1446–1458. 29 indexed citations

Spotte‐Smith, Evan Walter Clark, et al.. (2022). Predictive stochastic analysis of massive filter-based electrochemical reaction networks. Digital Discovery. 2(1). 123–137. 20 indexed citations

McDermott, Matthew J., Daniel O’Nolan, Simon M. Vornholt, et al.. (2022). Reaction Selectivity in Cometathesis: Yttrium Manganese Oxides. Chemistry of Materials. 34(10). 4694–4702. 5 indexed citations

Spotte‐Smith, Evan Walter Clark, Samuel M. Blau, Xiaowei Xie, et al.. (2021). Quantum chemical calculations of lithium-ion battery electrolyte and interphase species. Scientific Data. 8(1). 203–203. 40 indexed citations

Evans, Matthew L., et al.. (2021). optimade-python-tools: a Python library for serving and consuming materials data via OPTIMADE APIs. The Journal of Open Source Software. 6(65). 3458–3458. 8 indexed citations

10.

Blau, Samuel M., Hetal D. Patel, Evan Walter Clark Spotte‐Smith, et al.. (2021). A chemically consistent graph architecture for massive reaction networks applied to solid-electrolyte interphase formation. Chemical Science. 12(13). 4931–4939. 50 indexed citations

11.

McDermott, Matthew J., Shyam Dwaraknath, & Kristin A. Persson. (2021). A graph-based network for predicting chemical reaction pathways in solid-state materials synthesis. Nature Communications. 12(1). 3097–3097. 74 indexed citations

12.

Wen, Mingjian, Samuel M. Blau, Evan Walter Clark Spotte‐Smith, Shyam Dwaraknath, & Kristin A. Persson. (2020). BonDNet: a graph neural network for the prediction of bond dissociation energies for charged molecules. Chemical Science. 12(5). 1858–1868. 77 indexed citations

13.

Andersen, Casper Welzel, Rickard Armiento, Evgeny Blokhin, et al.. (2020). The OPTIMADE Specification. Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations

14.

McDermott, Matthew J., Daniel O’Nolan, Shyam Dwaraknath, et al.. (2020). Defect-Accommodating Intermediates Yield Selective Low-Temperature Synthesis of YMnO₃ Polymorphs. Inorganic Chemistry. 59(18). 13639–13650. 21 indexed citations

15.

Garten, Lauren M., David T. Moore, Sanjini U. Nanayakkara, et al.. (2019). The existence and impact of persistent ferroelectric domains in MAPbI ₃. Science Advances. 5(1). eaas9311–eaas9311. 89 indexed citations

16.

Liang, Qiaohao, Shyam Dwaraknath, & Kristin A. Persson. (2019). High-throughput computation and evaluation of raman spectra. Scientific Data. 6(1). 135–135. 21 indexed citations

17.

Garten, Lauren M., Shyam Dwaraknath, Julian Walker, et al.. (2018). Theory‐Guided Synthesis of a Metastable Lead‐Free Piezoelectric Polymorph. Advanced Materials. 30(25). e1800559–e1800559. 8 indexed citations

18.

Aykol, Muratahan, Shyam Dwaraknath, Wenhao Sun, & Kristin A. Persson. (2018). Thermodynamic limit for synthesis of metastable inorganic materials. Science Advances. 4(4). eaaq0148–eaaq0148. 297 indexed citations

19.

Tabor, Daniel P., Loı̈c M. Roch, Semion K. Saikin, et al.. (2018). Accelerating the discovery of materials for clean energy in the era of smart automation. Nature Reviews Materials. 3(5). 5–20. 572 indexed citations breakdown →

20.

Stoller, R.E., M.B. Toloczko, Gary S. Was, et al.. (2013). On the use of SRIM for computing radiation damage exposure. Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms. 310. 75–80. 1254 indexed citations breakdown →

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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