Avraham A. Melkman

1.0k citations
36 papers · 626 indexed · h-index 14
Topics
Gene Regulatory Network Analysis (8 papers)Advanced Numerical Analysis Techniques (6 papers)Bioinformatics and Genomic Networks (5 papers)
Partner nations
IsraelJapanUnited States

In The Last Decade

Avraham A. Melkman

33 papers receiving 555 citations

Peers

Avraham A. Melkman
Comparison fields: 5 of 94
  • Molecular Biology 162
  • Computer Vision and Pattern Recognition 122
  • Computational Theory and Mathematics 91
  • Applied Mathematics 84
  • Computational Mechanics 83
Replace Allen Klinger with:
Allen Klinger United States
Bernd Gärtner Switzerland
Bartłomiej Błaszczyszyn France
Samuel R. Buss United States
Yasuaki Kuroe Japan
Lifeng Wang China
G. T. Kneebone United Kingdom
I. D. Coope New Zealand
Gábor Pataki United States
Di‐Rong Chen China
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Citations per field
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Citations per year

Countries citing papers authored by Avraham A. Melkman

Since Specialization
Citations

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

Fields of papers citing papers by Avraham A. Melkman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Avraham A. Melkman. 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 Avraham A. Melkman. The network helps show where Avraham A. Melkman may publish in the future.

Co-authorship network of co-authors of Avraham A. Melkman

This figure shows the co-authorship network connecting the top 25 collaborators of Avraham A. Melkman. A scholar is included among the top collaborators of Avraham A. Melkman 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 Avraham A. Melkman. Avraham A. Melkman 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
#WorkIndexed citations
1 1
2 0
3 2
4 13
5 16
6 3
7 8
8 32
9 17
10 4
11 35
12 0
13 6
14 3
15 2
16 15
17 20
18 3
19 8
20 11

About Avraham A. Melkman

Avraham A. Melkman is a scholar working on Computational Theory and Mathematics, Biophysics and Numerical Analysis, having authored 36 papers that have together received 626 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (8 papers), Advanced Numerical Analysis Techniques (6 papers) and Bioinformatics and Genomic Networks (5 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (77 citations), Applied Mathematics (84 citations) and Numerical Analysis (43 citations). Avraham A. Melkman has collaborated with scholars based in Israel, Japan and United States. Frequent co-authors include Charles A. Micchelli, Tatsuya Akutsu, Simon Kasif, Takeyuki Tamura, Isaac Meilijson, Alan G. Konheim, Sven Kosub, Shmuel Friedland, Stan Letovsky and Xiaoqing Cheng. Their work appears in journals such as Bioinformatics, PLoS ONE and The Annals of Statistics.

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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