This map shows the geographic impact of D. Agarwal'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 D. Agarwal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Agarwal more than expected).
This network shows the impact of papers produced by D. Agarwal. 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 D. Agarwal. The network helps show where D. Agarwal may publish in the future.
Co-authorship network of co-authors of D. Agarwal
This figure shows the co-authorship network connecting the top 25 collaborators of D. Agarwal.
A scholar is included among the top collaborators of D. Agarwal 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 D. Agarwal. D. Agarwal is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Damerow, Joan, D. Agarwal, Shreyas Cholia, et al.. (2019). Standardizing Metadata Quality Review for an Environmental Data Repository. AGU Fall Meeting Abstracts. 2019.1 indexed citations
Agarwal, D., Charuleka Varadharajan, Shreyas Cholia, et al.. (2017). Environmental System Science Data Infrastructure for a Virtual Ecosystem (ESS-DIVE) - A New U.S. DOE Data Archive. AGU Fall Meeting Abstracts. 2017.1 indexed citations
Jégou, Yvon, et al.. (2012). Using Open Standards for Interoperability - Issues, Solutions, and Challenges facing Cloud Computing. HAL (Le Centre pour la Communication Scientifique Directe).1 indexed citations
Humphrey, Marty, D. Agarwal, & Catharine van Ingen. (2008). Publication and Curation of Large-Scale Shared Environmental Scientific Data. 17(3). 6–35.3 indexed citations
11.
Agarwal, D., Dennis Baldocchi, Thomas A. Boden, et al.. (2007). Creating and Accessing the Global Fluxnet Data Set. AGU Fall Meeting Abstracts. 2007.1 indexed citations
12.
Perry, Marcia & D. Agarwal. (2003). Collaborative editing within the pervasive collaborative computing environment. University of North Texas Digital Library (University of North Texas).
13.
Agarwal, D., José María González González, Guojun Jin, & Brian Tierney. (2003). An infrastructure for passive network monitoring of application data streams. University of North Texas Digital Library (University of North Texas).14 indexed citations
14.
Agarwal, D., Markus Lorch, Mary R. Thompson, & Marcia Perry. (2003). A new security model for collaborative environments. University of North Texas Digital Library (University of North Texas).15 indexed citations
15.
Agarwal, D., et al.. (2003). Enabling Secure Ad-hoc Collaboration.2 indexed citations
16.
Agarwal, D., Keith Jackson, & Mary R. Thompson. (2002). Securing collaborative environments. University of North Texas Digital Library (University of North Texas).4 indexed citations
17.
Moser, L.E., et al.. (2002). The Totem system. 61–66.27 indexed citations
18.
Jin, Guojun, et al.. (2001). Network Characterization Service (NCS). University of North Texas Digital Library (University of North Texas).1 indexed citations
19.
Agarwal, D.. (1999). Using multicast in the global communications infrastructure for group communication. University of North Texas Digital Library (University of North Texas).
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.