World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
78
Citations
37569
World Ranking
1167
National Ranking
619

Research.com Recognitions

  • 2018 - Fellow, National Academy of Inventors
  • 2012 - Member of the National Academy of Engineering For development of computational methods for DNA and protein sequence analyses.
  • 2009 - SIAM Fellow For contributions to computational biology.
  • 2001 - Member of the National Academy of Sciences
  • 1995 - Fellow of John Simon Guggenheim Memorial Foundation
  • 1995 - Fellow of the American Academy of Arts and Sciences
  • 1990 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

Michael S. Waterman is affiliated with the University of Southern California in the United States and has contributed to research spanning Agricultural and Biological Sciences as well as Psychology. Their scholarly work focuses on topics such as soybean genetics and cultivation, nematode management and characterization studies, legume nitrogen fixing symbiosis, evolutionary psychology and human behavior, personality traits and psychology, consumer behavior in brand consumption and identification, and museums and cultural heritage.

Their recent publications include the following papers:

  • Identification of Genomic Loci Conferring Broad-Spectrum Resistance to Multiple Nematode Species in Exotic Soybean Accession PI 567305 (2021), published in Theoretical and Applied Genetics
  • Exploring the Influences of Profile Perceptions and Different Pick-up Lines on Dating Outcomes on Tinder: An Online Experiment (2020), published in Computers in Human Behavior
  • Serendipitous Discovery: The Art Library as a Place for Creative Exploration (2024), published in Art Libraries Journal

Frequent coauthors who have collaborated once with Waterman include Tri D. Vuong, Humira Sonah, Gunvant Patil, Clinton G. Meinhardt, and Mariola Usovsky.

Waterman's research has appeared in several publication venues, notably Theoretical and Applied Genetics, Computers in Human Behavior, and Art Libraries Journal, with one paper each in those venues.

Their main fields of study cover Agricultural and Biological Sciences with three publications and Psychology with two. Subfields addressed include Plant Science, Experimental and Cognitive Psychology, Clinical Psychology, Marketing, and Museology.

Waterman has been recognized by several awards and honors, including being named Fellow of the American Association for the Advancement of Science (AAAS) in 1990, Fellow of the American Academy of Arts and Sciences in 1995, Fellow of the John Simon Guggenheim Memorial Foundation in 1995, election as a Member of the National Academy of Sciences in 2001, Member of the National Academy of Engineering in 2012 for development of computational methods for DNA and protein sequence analyses, SIAM Fellow in 2009 for contributions to computational biology, and Fellow of the National Academy of Inventors in 2018.

Best Publications

  • Identification of common molecular subsequences.

    T.F. Smith;M.S. Waterman

  • Comparison of biosequences

    Temple F Smith;Michael S Waterman

  • An Eulerian path approach to DNA fragment assembly

    Pavel A. Pevzner;Haixu Tang;Michael S. Waterman

  • Introduction to computational biology

    Michael S. Waterman

  • Genomic mapping by fingerprinting random clones: A mathematical analysis

    Eric S. Lander;Eric S. Lander;Michael S. Waterman

  • Introduction to Computational Biology: Maps, Sequences and Genomes

    Michael S. Waterman

  • Some Biological Sequence Metrics

    M.S Waterman;T.F Smith;W.A Beyer

  • A new algorithm for DNA sequence assembly.

    Ramana M. Idury;Michael S. Waterman

  • A dynamic programming algorithm for haplotype block partitioning

    Kui Zhang;Minghua Deng;Ting Chen;Michael S. Waterman

  • Comparative biosequence metrics.

    T. F. Smith;M. S. Waterman;W. M. Fitch

  • A new algorithm for best subsequence alignments with application to tRNA-rRNA comparisons.

    Michael S. Waterman;Mark Eggert

  • Mathematical Methods for DNA Sequences

    Michael S. Waterman

  • Sequence alignment and penalty choice. Review of concepts, case studies and implications.

    Martin Vingron;Michael S. Waterman

  • Probabilistic and Statistical Properties of Words: An Overview

    Gesine Reinert;Sophie Schbath;Michael S. Waterman

  • Rigorous Pattern-recognition Methods for DNA Sequences Analysis of Promoter Sequences from Escherichia coli

    David J. Galas;Mark Eggert;Michael S. Waterman

  • A multiple-tubes approach for accurate genotyping of very small DNA samples by using PCR: statistical considerations.

    W Navidi;N Arnheim;M S Waterman

  • General methods of sequence comparison

    Michael S. Waterman

  • On the similarity of dendrograms.

    M.S. Waterman;T.F. Smith

  • Whole-genome shotgun assembly and comparison of human genome assemblies

    Sorin Istrail;Granger G. Sutton;Liliana Florea;Aaron L. Halpern

  • The statistical distribution of nucleic acid similarities.

    Temple F. Smith;Michael S. Waterman;Christian Burks

Frequent Co-Authors

Fengzhu Sun
Fengzhu Sun University of Southern California
Temple F. Smith
Temple F. Smith Boston University
Pavel A. Pevzner
Pavel A. Pevzner University of California, San Diego
Sorin Istrail
Sorin Istrail Brown University
David C. Schwartz
David C. Schwartz University of Wisconsin–Madison
Martin Vingron
Martin Vingron Max Planck Society
Norman Arnheim
Norman Arnheim University of Southern California
Xuegong Zhang
Xuegong Zhang Tsinghua University
Eric S. Lander
Eric S. Lander Broad Institute
Jun S. Liu
Jun S. Liu Harvard University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring further education after studying Computer Science in the USA opens up diverse career opportunities. Many students opt for flexible learning options such as the online affordable master's programs to deepen their technical expertise without breaking the bank. These programs offer the advantage of studying at your own pace while balancing work and life commitments.

For those seeking leadership roles in tech or education, you might consider pursuing an online doctorate in organizational leadership or exploring online educational leadership programs. Both paths help professionals gain advanced knowledge to lead teams, manage projects, or shape academic departments.

If you’re looking for a quick way to enter the tech workforce, earning a credential from one of the fastest associates degree programs can be a smart option. These online degrees allow students to develop job-ready skills in less time and at a lower cost, making them ideal for beginners or those seeking a career change.

Best Scientists Citing Michael S. Waterman

Trending Scientists

Recently Published Articles