M. Skolnick

772 total citations
28 papers, 496 citations indexed

About

M. Skolnick is a scholar working on Molecular Biology, Civil and Structural Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, M. Skolnick has authored 28 papers receiving a total of 496 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Civil and Structural Engineering and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in M. Skolnick's work include Genetics, Bioinformatics, and Biomedical Research (7 papers), Gene expression and cancer classification (4 papers) and Teaching and Learning Programming (3 papers). M. Skolnick is often cited by papers focused on Genetics, Bioinformatics, and Biomedical Research (7 papers), Gene expression and cancer classification (4 papers) and Teaching and Learning Programming (3 papers). M. Skolnick collaborates with scholars based in United States. M. Skolnick's co-authors include David J. Powell, James V. Neel, S. Sternberg, Rork Kuick, Samir Hanash, David L. Spooner, Dimitri A. Grivas, Chakravarthy Bhagvati, Samir Hanash and E.H.Y. Chu and has published in prestigious journals such as Journal of Colloid and Interface Science, Clinical Chemistry and Proteins Structure Function and Bioinformatics.

In The Last Decade

M. Skolnick

25 papers receiving 459 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
M. Skolnick United States	9	147	142	131	57	40	28	496
Nelson Maculan Brazil	13	163 1.1×	209 1.5×	88 0.7×	24 0.4×	49 1.2×	26	508
Shihuang Shao China	11	270 1.8×	130 0.9×	377 2.9×	7 0.1×	25 0.6×	45	837
Alexander Karlsson Sweden	10	132 0.9×	130 0.9×	98 0.7×	5 0.1×	40 1.0×	37	418
Klaus Kriegel Germany	11	28 0.2×	45 0.3×	119 0.9×	83 1.5×	128 3.2×	32	392
Dongli Jia China	9	296 2.0×	147 1.0×	18 0.1×	14 0.2×	52 1.3×	37	495
Bazil Pârv Romania	11	254 1.7×	83 0.6×	39 0.3×	10 0.2×	63 1.6×	34	464
Sairam Subramanian United States	11	156 1.1×	350 2.5×	356 2.7×	14 0.2×	85 2.1×	16	975
Dmitry A. Zaitsev Ukraine	13	64 0.4×	258 1.8×	29 0.2×	21 0.4×	15 0.4×	71	488
De-Shuang Huang China	15	173 1.2×	73 0.5×	682 5.2×	11 0.2×	89 2.2×	36	981

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-authorship network of co-authors of M. Skolnick

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Velasco, Riccardo, Claudio Moser, M. Stefanini, et al.. (2006). The first genome sequence of an elite grapevine cultivar (Pinot noir; Vitis vinifera L.): coping with a highly heterozygous genome. CINECA IRIS Institutional Research Information System (Fondazione Edmund Mach). 1 indexed citations

Skolnick, M., et al.. (2003). A new methodology for isolating and diagnosing inconsistencies in image matching, as applied to the analysis of 2-D electrophoretic gels. 35. 197–204. 1 indexed citations

Skolnick, M., et al.. (2003). Morphological algorithms for centroid normalization in relational matching. 987–990.

Spooner, David L. & M. Skolnick. (1997). Science and engineering case studies in introductory computing courses for non-majors. ACM SIGCSE Bulletin. 29(1). 154–158. 1 indexed citations

Spooner, David L. & M. Skolnick. (1997). Science and engineering case studies in introductory computing courses for non-majors. 154–158. 5 indexed citations

Caligo, Maria A., Chiara Ghimenti, Giovanna Cipollini, et al.. (1996). BRCA 1 germline mutational spectrum in 21 Italian families. Cancer Genetics and Cytogenetics. 91(2). 112–112. 1 indexed citations

Bhagvati, Chakravarthy, M. Skolnick, & Dimitri A. Grivas. (1994). Gaussian normalisation of morphological size distributions for increasing sensitivity to texture variations and its applications to pavement distress classification.. Computer Vision and Pattern Recognition. 700–703. 4 indexed citations

Grivas, Dimitri A., et al.. (1994). Feasibility of automating pavement distress assessment using mathematical morphology. Transportation Research Record Journal of the Transportation Research Board. 52–58. 3 indexed citations

Powell, David J. & M. Skolnick. (1993). Using Genetic Algorithms in Engineering Design Optimization with Non-Linear Constraints. international conference on Genetic algorithms. 424–431. 218 indexed citations

10.

Kuick, Rork, M. Skolnick, Samir Hanash, & James V. Neel. (1991). A two‐dimensional electrophoresis‐related laboratory information processing system: Spot matching. Electrophoresis. 12(10). 736–746. 33 indexed citations

11.

Skolnick, M., et al.. (1991). Attributes of markers on linkage and physical maps. Cytogenetic and Genome Research. 58(3-4). 1839–1840. 1 indexed citations

12.

Powell, David J., et al.. (1989). EnGENEous domain independent, machine learning for design optimization. international conference on Genetic algorithms. 151–159. 36 indexed citations

13.

Skolnick, M., et al.. (1988). Morphological Algorithms For Analysis Of Geological Phase Structure. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 1001. 154–154. 1 indexed citations

14.

Hanash, Samir, E.H.Y. Chu, Rork Kuick, et al.. (1987). Detection of human somatic cell structural gene mutations by two‐dimensional electrophoresis. Proteins Structure Function and Bioinformatics. 2(1). 13–19. 10 indexed citations

15.

Skolnick, M.. (1986). Introduction. Computer Vision Graphics and Image Processing. 35(3). 281–282. 2 indexed citations

16.

Cavalli‐Sforza, L. L., P. Pearson, H H Kazazian, et al.. (1982). Workshop on DNA polymorphisms.. PubMed. 103 Pt A. 79–81. 1 indexed citations

17.

Skolnick, M., S. Sternberg, & James V. Neel. (1982). Computer programs for adapting two-dimensional gels to the study of mutation.. Clinical Chemistry. 28(4). 969–978. 33 indexed citations

18.

Skolnick, M.. (1982). An approach to completely automatic comparison of two-dimensional electrophoresis gels.. Clinical Chemistry. 28(4). 979–986. 44 indexed citations

19.

Cannings, C., et al.. (1979). Extension of pedigree analysis to include assortative mating and linear models.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 32. 407–15. 1 indexed citations

20.

Skolnick, M., et al.. (1972). Dynamic behavior of surfactant films. Journal of Colloid and Interface Science. 39(2). 323–330. 25 indexed citations

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