Scott C. Schmidler

1.3k total citations
33 papers, 727 citations indexed

About

Scott C. Schmidler is a scholar working on Molecular Biology, Artificial Intelligence and Statistics and Probability. According to data from OpenAlex, Scott C. Schmidler has authored 33 papers receiving a total of 727 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 10 papers in Artificial Intelligence and 9 papers in Statistics and Probability. Recurrent topics in Scott C. Schmidler's work include Protein Structure and Dynamics (11 papers), Bayesian Methods and Mixture Models (8 papers) and Markov Chains and Monte Carlo Methods (7 papers). Scott C. Schmidler is often cited by papers focused on Protein Structure and Dynamics (11 papers), Bayesian Methods and Mixture Models (8 papers) and Markov Chains and Monte Carlo Methods (7 papers). Scott C. Schmidler collaborates with scholars based in United States, United Kingdom and China. Scott C. Schmidler's co-authors include Douglas L. Brutlag, Jun S. Liu, Dawn B. Woodard, Mark Huber, Chunlin Ji, Katia Koelle, Rotem Ben‐Shachar, Thomas D. Wu, Trevor Hastie and Rolando Estrada and has published in prestigious journals such as Journal of the American Chemical Society, The Journal of Chemical Physics and PLoS ONE.

In The Last Decade

Scott C. Schmidler

32 papers receiving 699 citations

Peers

Scott C. Schmidler
Comparison fields: 5 of 129
  • Molecular Biology 342
  • Statistics and Probability 122
  • Artificial Intelligence 112
  • Genetics 97
  • Materials Chemistry 87
Replace Silvio C. Ferreira with:
Silvio C. Ferreira Brazil
Markko Myllys Finland
Ludger Santen Germany
Minping Qian China
Qian Xu United States
Marie Doumic France
D. J. H. Garling United States
Ramón Román-Roldán Spain
Alp Kucukelbir United States
Alberto Giovanni Busetto Switzerland
Silvio C. Ferreira Brazil View profile →
Citations per field, relative to Scott C. Schmidler
Scott C. Schmidler · 1×
Citations per year, relative to Scott C. Schmidler
Scott C. Schmidler · 1×

Countries citing papers authored by Scott C. Schmidler

Since Specialization
Citations

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

Fields of papers citing papers by Scott C. Schmidler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Scott C. Schmidler

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 1
3 8
4 12
5 6
6 9
7 40
8 26
9 40
10 21
11 52
12 8
13 27
14 22
15 28
16 49
17 0
18 16
19
Modeling and superposition of multiple protein structures using affine transformations: analysis of the globins.
6
20
The COLLAGE/KHOROS Link: Planning for Image Processing Tasks
15

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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