Edwin Jacox

1.0k citations
16 papers · 592 · h-index 12

Impact in

Papers in

    • Genomics and Phylogenetic Studies 6
    • Genomics and Chromatin Dynamics 5
    • RNA and protein synthesis mechanisms 3
    • Machine Learning in Bioinformatics 2
    • Genetic diversity and population structure 4

Edwin Jacox

16 papers receiving 573 citations

Peers

Edwin Jacox
Comparison fields: 5 of 97
  • Signal Processing 287
  • Geography, Planning and Development 77
  • Computer Graphics and Computer-Aided Design 36
  • Computer Networks and Communications 142
  • Computer Vision and Pattern Recognition 95
Replace Sungwon Jung with:
Sungwon Jung South Korea
Xi He United States
M. Andrea Rodríguez Chile
Xiaofeng Ding China
Mitsuhiko Toda Japan
Thomas Wolle Australia
Arnab Bhattacharya India
Xiaoming Li China
J. Y. Shi Hong Kong
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Citations per field
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Citations per year

Countries citing papers authored by Edwin Jacox

Since Specialization
Citations

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

Fields of papers citing papers by Edwin Jacox

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2007159
2 201186
3 200885
4 201658
5 200940
6 201432
7 199428
8 201026
9 200320
10 201916
11 201015
12 201513
13 20156
14 20164
15 20082
16
Finding Occurrences of Relevant Functional Elements in Genomic Signatures.
20082

About Edwin Jacox

Edwin Jacox is a scholar working on Molecular Biology, Genetics, Signal Processing, Computer Networks and Communications and Ecology, Evolution, Behavior and Systematics, having authored 16 papers that have together received 592 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (6 papers), Genomics and Chromatin Dynamics (5 papers), Data Management and Algorithms (4 papers), Genetic diversity and population structure (4 papers), RNA and protein synthesis mechanisms (3 papers), Computational Geometry and Mesh Generation (2 papers), Machine Learning in Bioinformatics (2 papers) and Microbial Community Ecology and Physiology (2 papers). The work is most often cited by research in Signal Processing (287 citations), Geography, Planning and Development (77 citations), Computer Graphics and Computer-Aided Design (36 citations), Computer Networks and Communications (142 citations) and Computer Vision and Pattern Recognition (95 citations). Edwin Jacox has collaborated with scholars based in United States, France and Hungary. Frequent co-authors include Hanan Samet, Sarana Nutanong, Céline Scornavacca, Gergely J. Szöllősi, Laura Elnitski, Cédric Chauve, Yann Ponty, Ivan Ovcharenko, Allen C. Ward and Valer Gotea. Their work appears in journals such as Bioinformatics, ACM Transactions on Database Systems, BMC Bioinformatics, Research in Engineering Design and BMC Genomics.

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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