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Himanshu Jotwani

dblp:277/0135 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2020
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › network bioinformatics › biological network analysis
network visualization
0.412020
ccNetViz: a WebGL-based JavaScript library for visualization of large networks · Bioinform. 2020
Bioinformatics and computational biology › network bioinformatics › biological network analysis › network visualization
biological network visualization
0.112020
ccNetViz: a WebGL-based JavaScript library for visualization of large networks · Bioinform. 2020
Bioinformatics and computational biology
systems biology
0.112020
ccNetViz: a WebGL-based JavaScript library for visualization of large networks · Bioinform. 2020

Methods — techniques the papers use, named apart from their topics

javascript · 0.4WebGL · 0.4
YearPublicationVenuePosition
2020 ccNetViz: a WebGL-based JavaScript library for visualization of large networks
abstract
SUMMARY: Visualizing a network provides a concise and practical understanding of the information it represents. Open-source web-based libraries help accelerate the creation of biologically based networks and their use. ccNetViz is an open-source, high speed and lightweight JavaScript library for visualization of large and complex networks. It implements customization and analytical features for easy network interpretation. These features include edge and node animations, which illustrate the flow of information through a network as well as node statistics. Properties can be defined a priori or dynamically imported from models and simulations. ccNetViz is thus a network visualization library particularly suited for systems biology. AVAILABILITY AND IMPLEMENTATION: The ccNetViz library, demos and documentation are freely available at http://helikarlab.github.io/ccNetViz/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Ales Saska, David Tichy, Achilles Rasquinha, Caner Akdas, Renato Fabbri, Ana Jelicic, Gaurav Grover, Himanshu Jotwani, Mohamed Shadab, Resa M. K. Helikar, Tomás Helikar, Jonathan D. Wren
Bioinform.10