Scott Broderick

1.9k citations
85 papers · 1.5k · 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 29
    • Diamond and Carbon-based Materials Research 6
    • Electronic and Structural Properties of Oxides 5
    • Advanced Materials Characterization Techniques 26

Scott Broderick

84 papers receiving 1.5k citations

Peers

Scott Broderick
Comparison fields: 5 of 116
  • Metals and Alloys 53
  • Materials Chemistry 799
  • Immunology 208
  • Pharmaceutical Science 58
  • Computational Theory and Mathematics 134
Replace Stefan Rühl with:
Stefan Rühl United States
Ying Zhou China
Hong Bo Liu China
Margareth Spangler Andrade Brazil
Satoshi Abe Japan
Xingquan Zhang China
Wenzhong Zhou China
Jan Weber Czechia
Linxian Li China
Hang Chi China
Scott Broderick relative to Stefan Rühl United States Stefan Rühl's profile →
Citations per field
00.5×3.4×
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 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013129
2 2011115
3 201683
4 201177
5 200876
6 201164
7 201442
8 201434
9 202033
10 201632
11 201131
12 201129
13 200925
14 201525
15 201425
16 201624
17 202224
18 201624
19 202023
20 200722

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 85 papers that have together received 1.5k indexed citations. Recurring topics across this work include Machine Learning in Materials Science (29 papers), Advanced Materials Characterization Techniques (26 papers), Computational Drug Discovery Methods (10 papers), Hydrogen embrittlement and corrosion behaviors in metals (9 papers), Diamond and Carbon-based Materials Research (6 papers), Metal and Thin Film Mechanics (6 papers), Surface and Thin Film Phenomena (5 papers) and Electronic and Structural Properties of Oxides (5 papers). The work is most often cited by research in Metals and Alloys (53 citations), Materials Chemistry (799 citations), Immunology (208 citations), Pharmaceutical Science (58 citations) and Computational Theory and Mathematics (134 citations). Scott Broderick has collaborated with scholars based in United States, Chile and Algeria. 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, Somnath Datta and Mahendra K. Sunkara. Their work appears in journals such as Microscopy and Microanalysis, Ultramicroscopy, Applied Physics Letters, Scientific Reports 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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