M Waterman

657 total citations
12 papers, 468 citations indexed

About

M Waterman is a scholar working on Molecular Biology, Artificial Intelligence and Geometry and Topology. According to data from OpenAlex, M Waterman has authored 12 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Artificial Intelligence and 2 papers in Geometry and Topology. Recurrent topics in M Waterman's work include Genomics and Phylogenetic Studies (6 papers), Algorithms and Data Compression (6 papers) and Machine Learning in Bioinformatics (3 papers). M Waterman is often cited by papers focused on Genomics and Phylogenetic Studies (6 papers), Algorithms and Data Compression (6 papers) and Machine Learning in Bioinformatics (3 papers). M Waterman collaborates with scholars based in United States, Austria and Israel. M Waterman's co-authors include Jerrold R. Griggs, Michael Schöniger, David J. Galas, A.V. Carrano, Elbert Branscomb, T. Šlezak, Fritz Schweiger, Ron Ophir, Chantal Dauphin‐Villemant and Moshe Tom and has published in prestigious journals such as Philosophical Transactions of the Royal Society B Biological Sciences, Genomics and Bulletin of Mathematical Biology.

In The Last Decade

M Waterman

12 papers receiving 424 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M Waterman United States	10	324	175	73	63	33	12	468
Radu Mihaescu United States	6	140 0.4×	87 0.5×	99 1.4×	103 1.6×	14 0.4×	7	381
Ben Krause United States	5	357 1.1×	68 0.4×	30 0.4×	62 1.0×	14 0.4×	22	547
Martin Vingron Germany	9	649 2.0×	116 0.7×	90 1.2×	22 0.3×	44 1.3×	14	803
Morteza Mohammad-Noori Iran	9	682 2.1×	57 0.3×	67 0.9×	104 1.7×	11 0.3×	14	770
Lee A. Newberg United States	10	225 0.7×	69 0.4×	66 0.9×	39 0.6×	12 0.4×	23	325
Wolfgang Fleischmann United Kingdom	9	573 1.8×	55 0.3×	38 0.5×	43 0.7×	27 0.8×	13	677
Thomas Thorne United Kingdom	15	822 2.5×	108 0.6×	106 1.5×	174 2.8×	23 0.7×	28	1.1k
William Schmitt United States	11	258 0.8×	62 0.4×	38 0.5×	102 1.6×	24 0.7×	23	567
Rune B. Lyngsø United Kingdom	14	737 2.3×	139 0.8×	123 1.7×	61 1.0×	26 0.8×	31	882
Jérémie Bourdon France	9	182 0.6×	29 0.2×	20 0.3×	29 0.5×	26 0.8×	25	293

Countries citing papers authored by M Waterman

Since Specialization

Citations

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

Fields of papers citing papers by M Waterman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M Waterman

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

All Works

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12 of 12 papers shown

Shechter, Assaf, Vered Chalifa‐Caspi, Ron Ophir, et al.. (2007). Hepatopancreatic multi‐transcript expression patterns in the crayfish Cherax quadricarinatus during the moult cycle. Insect Molecular Biology. 16(6). 661–674. 36 indexed citations

Shechter, Assaf, Vered Chalifa‐Caspi, Ron Ophir, et al.. (2007). Hepatopancreatic multi-transcript expression patterns in the crayfish Cherax quadricarinatus during the moult cycle. Insect Molecular Biology. 0(0). 1769395642–???. 1 indexed citations

Waterman, M. (1994). Estimating statistical significance of sequence alignments. Philosophical Transactions of the Royal Society B Biological Sciences. 344(1310). 383–390. 25 indexed citations

Waterman, M. (1994). Parametric and ensemble sequence alignment algorithms. Bulletin of Mathematical Biology. 56(4). 743–767. 22 indexed citations

Waterman, M, et al.. (1992). Poisson, compound poisson and process approximations for testing statistical significance in sequence comparisons. Bulletin of Mathematical Biology. 54(5). 785–812. 3 indexed citations

Schöniger, Michael & M Waterman. (1992). A local algorithm for dna sequence alignment with inversions. Bulletin of Mathematical Biology. 54(4). 521–536. 28 indexed citations

Branscomb, Elbert, et al.. (1990). Optimizing restriction fragment fingerprinting methods for ordering large genomic libraries. Genomics. 8(2). 351–366. 53 indexed citations

Waterman, M & Jerrold R. Griggs. (1986). Interval graphs and maps of DNA. Bulletin of Mathematical Biology. 48(2). 189–195. 52 indexed citations

Waterman, M, et al.. (1984). Pattern recognition in several sequences: Consensus and alignment. Bulletin of Mathematical Biology. 46(4). 515–527. 24 indexed citations

10.

Waterman, M, et al.. (1984). Line geometries for sequence comparisons. Bulletin of Mathematical Biology. 46(4). 567–577. 55 indexed citations

11.

Waterman, M. (1984). General methods of sequence comparison. Bulletin of Mathematical Biology. 46(4). 473–500. 153 indexed citations

12.

Schweiger, Fritz & M Waterman. (1973). Some remarks on Kuzmin's theorem for F-expansions. Journal of Number Theory. 5(2). 123–131. 16 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.

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