Saurabh Bajaj

1.8k citations
16 papers · 1.3k indexed · 1 hit paper · h-index 12
Topics
Advanced Thermoelectric Materials and Devices (7 papers)Machine Learning in Materials Science (5 papers)Chalcogenide Semiconductor Thin Films (5 papers)

In The Last Decade

Saurabh Bajaj

16 papers receiving 1.3k citations

Hit Papers

Matminer: An open source toolkit for materials data mining20182026202020232018200400600

Peers

Saurabh Bajaj
Comparison fields: 5 of 70
  • Materials Chemistry 1.2k
  • Electrical and Electronic Engineering 349
  • Mechanical Engineering 162
  • Electronic, Optical and Magnetic Materials 142
  • Computational Theory and Mathematics 131
Replace Lance J. Nelson with:
Lance J. Nelson United States
Aria Mansouri Tehrani United States
Maxwell Dylla United States
Michal Jahnátek Austria
Erin Antono United States
Alireza Faghaninia United States
Junkai Xue United States
Yury Lysogorskiy Germany
Peter Mahler Larsen Denmark
Saurabh Bajaj relative to Lance J. Nelson United States Lance J. Nelson's profile →
Citations per field
00.5×1.7×
Lance J. Nelson · 1×
Citations per year

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

16 of 16 papers shown
#WorkIndexed citations
1 1
2
Matminer: An open source toolkit for materials data miningbreakdown →
675
3 23
4 50
5 2
6 206
7 28
8 11
9 41
10 71
11 49
12 94
13 6
14 32
15 9
16 26

About Saurabh Bajaj

Saurabh Bajaj is a scholar working on Metals and Alloys, Materials Chemistry and Atmospheric Science, having authored 16 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Thermoelectric Materials and Devices (7 papers), Machine Learning in Materials Science (5 papers) and Chalcogenide Semiconductor Thin Films (5 papers). The work is most often cited by research in Materials Chemistry (1.2k citations), Metals and Alloys (26 citations) and Computational Theory and Mathematics (131 citations). Saurabh Bajaj has collaborated with scholars based in United States, Belgium and Ukraine. Frequent 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. Their work appears in journals such as Chemistry of Materials, Acta Materialia and Journal of Materials Chemistry A.

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

Rankless by CCL
2026