Demo Data from EDBT 2026 / reviewers in the wild / expert
Harshit Mehrotra
dblp:137/2131
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2013
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 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.
| Computer graphics and multimedia
1 paper |
Visualization and visual analytics · 100% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Computational social science and digital humanities · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Visualization and visual analytics
graph visualization |
0.2 | 1 | 2013 | Understanding Interfirm Relationships in Business Ecosystems with Interactive Visualization · IEEE Trans. Vis. Comput. Graph. 2013 |
Visualization and visual analytics
information visualization |
0.2 | 1 | 2013 | Understanding Interfirm Relationships in Business Ecosystems with Interactive Visualization · IEEE Trans. Vis. Comput. Graph. 2013 |
Visualization and visual analytics
visual analytics |
0.2 | 1 | 2013 | Understanding Interfirm Relationships in Business Ecosystems with Interactive Visualization · IEEE Trans. Vis. Comput. Graph. 2013 |
Computational social science and digital humanities › marketing
market research |
0.0 | 1 | 2013 | Understanding Interfirm Relationships in Business Ecosystems with Interactive Visualization · IEEE Trans. Vis. Comput. Graph. 2013 |
Methods — techniques the papers use, named apart from their topics
interactive visualization · 0.3field study · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2013 | Understanding Interfirm Relationships in Business Ecosystems with Interactive VisualizationabstractBusiness ecosystems are characterized by large, complex, and global networks of firms, often from many different market segments, all collaborating, partnering, and competing to create and deliver new products and services. Given the rapidly increasing scale, complexity, and rate of change of business ecosystems, as well as economic and competitive pressures, analysts are faced with the formidable task of quickly understanding the fundamental characteristics of these interfirm networks. Existing tools, however, are predominantly query- or list-centric with limited interactive, exploratory capabilities. Guided by a field study of corporate analysts, we have designed and implemented dotlink360, an interactive visualization system that provides capabilities to gain systemic insight into the compositional, temporal, and connective characteristics of business ecosystems. dotlink360 consists of novel, multiple connected views enabling the analyst to explore, discover, and understand interfirm networks for a focal firm, specific market segments or countries, and the entire business ecosystem. System evaluation by a small group of prototypical users shows supporting evidence of the benefits of our approach. This design study contributes to the relatively unexplored, but promising area of exploratory information visualization in market research and business strategy. Rahul C. Basole, Trustin A. Clear, Mengdie Hu, Harshit Mehrotra, John T. Stasko |
IEEE Trans. Vis. Comput. Graph. | 4 |