Saurabh Bajaj

1.8k total citations · 1 hit paper
16 papers, 1.3k citations indexed

About

Saurabh Bajaj is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Mechanical Engineering. According to data from OpenAlex, Saurabh Bajaj has authored 16 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Materials Chemistry, 5 papers in Electrical and Electronic Engineering and 3 papers in Mechanical Engineering. Recurrent topics in Saurabh Bajaj's work include Advanced Thermoelectric Materials and Devices (7 papers), Machine Learning in Materials Science (5 papers) and Chalcogenide Semiconductor Thin Films (5 papers). Saurabh Bajaj is often cited by papers focused on Advanced Thermoelectric Materials and Devices (7 papers), Machine Learning in Materials Science (5 papers) and Chalcogenide Semiconductor Thin Films (5 papers). Saurabh Bajaj collaborates with scholars based in United States, Belgium and Ukraine. Saurabh Bajaj's co-authors include G. Jeffrey Snyder, Kristin A. Persson, Anubhav Jain, Mark Asta, Kyle Bystrom, Kyle Chard, Alireza Faghaninia, Maxwell Dylla, Qi Wang and Joseph H. Montoya and has published in prestigious journals such as Chemistry of Materials, Acta Materialia and Journal of Materials Chemistry A.

In The Last Decade

Saurabh Bajaj

16 papers receiving 1.3k 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.

Matminer: An open source toolkit for materials data mining

2018 675 citations Logan Ward, Alexander Dunn et al. Computational Materials Science profile →

Peers

Countries citing papers authored by Saurabh Bajaj

Since Specialization

Citations

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

Fields of papers citing papers by Saurabh Bajaj

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saurabh Bajaj

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

All Works

Sort: Min cites: Since: Top N: Style:

16 of 16 papers shown

#	Work	Indexed citations
1	Graph Neural Network Training Systems: A Performance Comparison of Full-Graph and Mini-Batch 2024 ·Proceedings of the VLDB Endowment ·Saurabh Bajaj, (unknown), (unknown), Hui Guan, Marco Serafini	1
2	Matminer: An open source toolkit for materials data mining breakdown → 2018 ·Computational Materials Science ·Logan Ward, Alexander Dunn, Alireza Faghaninia, Nils Zimmermann, Saurabh Bajaj, Qi Wang, Joseph H. Montoya, Jiming Chen, Kyle Bystrom, Maxwell Dylla, Kyle Chard, Mark Asta, Kristin A. Persson, G. Jeffrey Snyder, Ian Foster, Anubhav Jain	675
3	Machine Learning for Alloy Composition and Process Optimization 2018 ·Julia Ling, Erin Antono, Saurabh Bajaj, Sean Paradiso, Maxwell Hutchinson, Bryce Meredig, Brenna M. Gibbons	23
4	YCuTe₂: a member of a new class of thermoelectric materials with CuTe₄-based layered structure 2016 ·Journal of Materials Chemistry A ·Umut Aydemir, (unknown), Hong Zhu, Geoffroy Hautier, Saurabh Bajaj, Zachary M. Gibbs, Wei Chen, Guodong Li, Saneyuki Ohno, Danny Broberg, Stephen Dongmin Kang, Mark Asta, Gerbrand Ceder, Mary Anne White, Kristin A. Persson, Anubhav Jain, G. Jeffrey Snyder	50
5	Correction: Computational and experimental investigation of TmAgTe₂ and XYZ₂ compounds, a new group of thermoelectric materials identified by first-principles high-throughput screening 2016 ·Journal of Materials Chemistry C ·Hong Zhu, Geoffroy Hautier, Umut Aydemir, Zachary M. Gibbs, Guodong Li, Saurabh Bajaj, (unknown), Danny Broberg, Wei Chen, Anubhav Jain, Mary Anne White, Mark Asta, G. Jeffrey Snyder, Kristin A. Persson, Gerbrand Ceder	2
6	Understanding thermoelectric properties from high-throughput calculations: trends, insights, and comparisons with experiment 2016 ·Journal of Materials Chemistry C ·Wei Chen, (unknown), Geoffroy Hautier, Danny Broberg, Saurabh Bajaj, Umut Aydemir, Zachary M. Gibbs, Hong Zhu, Mark Asta, G. Jeffrey Snyder, Bryce Meredig, Mary Anne White, Kristin A. Persson, Anubhav Jain	206
7	p-Type Co Interstitial Defects in Thermoelectric Skutterudite CoSb₃ Due to the Breakage of Sb₄-Rings 2016 ·Chemistry of Materials ·Guodong Li, Saurabh Bajaj, Umut Aydemir, Shiqiang Hao, Hai Xiao, William A. Goddard, Pengcheng Zhai, Qingjie Zhang, G. Jeffrey Snyder	28
8	Calculation of dopant solubilities and phase diagrams of X–Pb–Se (X = Br, Na) limited to defects with localized charge 2016 ·Journal of Materials Chemistry C ·Saurabh Bajaj, Heng Wang, Jeff W. Doak, Chris Wolverton, G. Jeffrey Snyder	11
9	Revisiting thermodynamics and kinetic diffusivities of uranium–niobium with Bayesian uncertainty analysis 2016 ·Calphad ·Thien Duong, Robert Hackenberg, A. Landa, Pejman Honarmandi, Anjana Talapatra, H. M. Volz, A. Llobet, (unknown), Graham King, Saurabh Bajaj, A. V. Ruban, Levente Vitos, P. E. A. Turchi, Raymundo Arróyave	41
10	Phase stability in nanoscale material systems: extension from bulk phase diagrams 2015 ·Nanoscale ·Saurabh Bajaj, (unknown), Raymundo Arróyave, (unknown), Sadasivan Shankar	71
11	Ab initio study of intrinsic point defects in PbTe: an insight into phase stability 2015 ·Acta Materialia ·Saurabh Bajaj, Gregory Pomrehn, Jeff W. Doak, Wojciech Gierlotka, Hsin‐Jay Wu, Sinn-wen Chen, Chris Wolverton, William A. Goddard, G. Jeffrey Snyder	49
12	Computational and experimental investigation of TmAgTe₂and XYZ₂compounds, a new group of thermoelectric materials identified by first-principles high-throughput screening 2015 ·Journal of Materials Chemistry C ·Hong Zhu, Geoffroy Hautier, Umut Aydemir, Zachary M. Gibbs, Guodong Li, Saurabh Bajaj, (unknown), Danny Broberg, Wei Chen, Anubhav Jain, Mary Anne White, Mark Asta, G. Jeffrey Snyder, Kristin A. Persson, Gerbrand Ceder	94
13	On the limitations of the DFT+U approach to energetics of actinides 2012 ·Computational Materials Science ·Saurabh Bajaj, Cem Sevik, Tahir Çağın, (unknown), P. E. A. Turchi, Raymundo Arróyave	6
14	The U–Ti system: Strengths and weaknesses of the CALPHAD method 2011 ·Journal of Nuclear Materials ·Saurabh Bajaj, A. Landa, Per Söderlind, P. E. A. Turchi, Raymundo Arróyave	32
15	Thermodynamic study of the Np–Zr system 2010 ·Journal of Nuclear Materials ·Saurabh Bajaj, (unknown), A. Landa, Per Söderlind, P. E. A. Turchi, Raymundo Arróyave	9
16	Investigation of the structural stability of Co2NiGa shape memory alloys via ab initio methods 2010 ·Acta Materialia ·Raymundo Arróyave, Anchalee Junkaew, (unknown), Saurabh Bajaj, Chun-Wei Yao, (unknown)	26

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.

Explore authors with similar magnitude of impact