M. Skolnick

773 citations
32 papers · 608 · h-index 10

Impact in

Papers in

M. Skolnick

28 papers receiving 559 citations

Peers

M. Skolnick
Comparison fields: 5 of 106
  • Computational Theory and Mathematics 184
  • Artificial Intelligence 191
  • Spectroscopy 70
  • Industrial and Manufacturing Engineering 45
  • Biophysics 22
Replace Hanyu Zhang with:
Hanyu Zhang China
Florence d’Alché–Buc France
Akira Tanaka Japan
Isabel Rojas Germany
Sairam Subramanian United States
Klaus Kriegel Germany
Cesim Erten Türkiye
Ofer M. Shir Israel
Suresh Dara India
Jacek Koronacki Poland
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Citations per field
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Citations per year

Countries citing papers authored by M. Skolnick

Since Specialization
Citations

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

Fields of papers citing papers by M. Skolnick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside M. Skolnick, 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 M. Skolnick Line = papers co-authored together M. Skolnick links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Using Genetic Algorithms in Engineering Design Optimization with Non-Linear Constraints
1993262
2 198653
3 198247
4 198244
5
EnGENEous domain independent, machine learning for design optimization
198941
6 199133
7 198433
8 197226
9 198616
10 198710
11 19745
12 19975
13 19835
14
Gaussian normalisation of morphological size distributions for increasing sensitivity to texture variations and its applications to pavement distress classification.
19944
15
Automated comparison of image similarities and differences
19844
16
Feasibility of automating pavement distress assessment using mathematical morphology
19943
17
Apple genome sequencing and post-genomic program at IASMA Research Center
20092
18
Extension of pedigree analysis to include assortative mating and linear models.
19792
19 19862
20 19902

About M. Skolnick

M. Skolnick is a scholar working on Molecular Biology, Civil and Structural Engineering, Computer Vision and Pattern Recognition, Computer Science Applications and General Health Professions, having authored 32 papers that have together received 608 indexed citations. Recurring topics across this work include Genetics, Bioinformatics, and Biomedical Research (8 papers), Infrastructure Maintenance and Monitoring (4 papers), Gene expression and cancer classification (4 papers), Asphalt Pavement Performance Evaluation (4 papers), Teaching and Learning Programming (3 papers), Advanced Proteomics Techniques and Applications (2 papers), Medical Image Segmentation Techniques (2 papers) and Experimental Learning in Engineering (2 papers). The work is most often cited by research in Computational Theory and Mathematics (184 citations), Artificial Intelligence (191 citations), Spectroscopy (70 citations), Industrial and Manufacturing Engineering (45 citations) and Biophysics (22 citations). M. Skolnick has collaborated with scholars based in United States and Japan. Frequent co-authors include David J. Powell, James V. Neel, S. Sternberg, Samir Hanash, Rork Kuick, Charles F. Sing, B B Rosenblum, David L. Spooner, Dimitri A. Grivas and Chakravarthy Bhagvati. Their work appears in journals such as Journal of Colloid and Interface Science, Clinical Chemistry, Electrophoresis, Proteins Structure Function and Bioinformatics and Transportation Research Record Journal of the Transportation Research Board.

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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