Scott Broderick

1.8k citations
84 papers · 1.4k · h-index 22

Impact in

    • Machine Learning in Materials Science
    • X-ray Diffraction in Crystallography
    • MXene and MAX Phase Materials
    • Electronic and Structural Properties of Oxides

Papers in

    • Machine Learning in Materials Science 28
    • Diamond and Carbon-based Materials Research 6
    • Electronic and Structural Properties of Oxides 4
    • Advanced Materials Characterization Techniques 26

Scott Broderick

83 papers receiving 1.4k citations

Peers

Scott Broderick
Comparison fields: 5 of 116
  • Metals and Alloys 50
  • Materials Chemistry 790
  • Pharmaceutical Science 63
  • Immunology 211
  • Computational Theory and Mathematics 134
Replace Stefan Rühl with:
Stefan Rühl United States
Hong Bo Liu China
Margareth Spangler Andrade Brazil
Satoshi Abe Japan
Wenzhong Zhou China
Jan Weber Czechia
Liu Hong China
Stéphane Cuenot France
Linxian Li China
Bo Sun China
Scott Broderick relative to Stefan Rühl United States Stefan Rühl's profile →
Citations per field
00.5×3.3×
Stefan Rühl · 1×
Citations per year

Countries citing papers authored by Scott Broderick

Since Specialization
Citations

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

Fields of papers citing papers by Scott Broderick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Scott Broderick, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Scott Broderick Line = papers co-authored together Scott Broderick links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013128
2 2011115
3 201683
4 201177
5 200876
6 201164
7 201442
8 201434
9 201632
10 201131
11 202030
12 201129
13 201425
14 201524
15 201624
16 201624
17 200924
18 202023
19 200722
20 201921

About Scott Broderick

Scott Broderick is a scholar working on Materials Chemistry, Biomedical Engineering, Computational Theory and Mathematics, Electrical and Electronic Engineering and Metals and Alloys, having authored 84 papers that have together received 1.4k indexed citations. Recurring topics across this work include Machine Learning in Materials Science (28 papers), Advanced Materials Characterization Techniques (26 papers), Computational Drug Discovery Methods (10 papers), Hydrogen embrittlement and corrosion behaviors in metals (9 papers), Metal and Thin Film Mechanics (6 papers), Diamond and Carbon-based Materials Research (6 papers), Electronic and Structural Properties of Oxides (4 papers) and Semiconductor materials and devices (4 papers). The work is most often cited by research in Metals and Alloys (50 citations), Materials Chemistry (790 citations), Pharmaceutical Science (63 citations), Immunology (211 citations) and Computational Theory and Mathematics (134 citations). Scott Broderick has collaborated with scholars based in United States, Algeria and Chile. Frequent co-authors include Krishna Rajan, Krishna Rajan, Balaji Narasimhan, H. Aourag, Michael J. Wannemuehler, Amanda E. Ramer‐Tait, Latrisha K. Petersen, Susan B. Sinnott, Madhu Menon and Somnath Datta. Their work appears in journals such as Microscopy and Microanalysis, Ultramicroscopy, Scientific Reports, Applied Physics Letters and JOM.

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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