D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 45 Citations 8,440 113 World Ranking 3587 National Ranking 1840

Research.com Recognitions

Awards & Achievements

2010 - ACM Senior Member

Overview

What is he best known for?

The fields of study he is best known for:

  • Operating system
  • The Internet
  • Artificial intelligence

Danyel Fisher mainly focuses on World Wide Web, Visualization, Analytics, Data visualization and Human–computer interaction. As a member of one scientific family, Danyel Fisher mostly works in the field of World Wide Web, focusing on Information retrieval and, on occasion, Data set. His study on Visualization is covered under Artificial intelligence.

His Analytics research is multidisciplinary, relying on both Visual analytics, Cultural analytics and Big data. His Data visualization research incorporates elements of Data acquisition, Social navigation, Pyramid and Geovisualization. His Human–computer interaction study combines topics from a wide range of disciplines, such as Gesture elicitation, Social psychology and Laptop.

His most cited work include:

  • Visualizing the Signatures of Social Roles in Online Discussion Groups (314 citations)
  • Effectiveness of Animation in Trend Visualization (264 citations)
  • Analysis and Visualization of Network Data using JUNG (248 citations)

What are the main themes of his work throughout his whole career to date?

His primary areas of investigation include Visualization, World Wide Web, Human–computer interaction, Data visualization and Data science. His Visualization research includes themes of Exploratory data analysis, Animation and Set. His studies deal with areas such as Information retrieval and Internet privacy as well as World Wide Web.

The various areas that Danyel Fisher examines in his Human–computer interaction study include Variety, Multimedia, Interface and Surface computing. He has included themes like Interactive visualization and Computer graphics in his Data visualization study. Analytics is closely connected to Big data in his research, which is encompassed under the umbrella topic of Data science.

He most often published in these fields:

  • Visualization (35.04%)
  • World Wide Web (27.74%)
  • Human–computer interaction (21.17%)

What were the highlights of his more recent work (between 2014-2021)?

  • Visualization (35.04%)
  • Data visualization (16.79%)
  • Data science (13.14%)

In recent papers he was focusing on the following fields of study:

His primary scientific interests are in Visualization, Data visualization, Data science, Exploratory data analysis and World Wide Web. His Visualization research entails a greater understanding of Data mining. His Data visualization research integrates issues from Use case, Documentation and Human–computer interaction.

In his study, which falls under the umbrella issue of Data science, Visual analytics is strongly linked to Big data. The Exploratory data analysis study which covers User experience design that intersects with Live programming, Perspective and Scripting language. Danyel Fisher interconnects Interactive visualization, Petabyte, Rendering and Data analysis in the investigation of issues within World Wide Web.

Between 2014 and 2021, his most popular works were:

  • What Do We Talk About When We Talk About Dashboards (58 citations)
  • Trust, but Verify: Optimistic Visualizations of Approximate Queries for Exploring Big Data (53 citations)
  • Iterating between Tools to Create and Edit Visualizations (37 citations)

In his most recent research, the most cited papers focused on:

  • Operating system
  • The Internet
  • Artificial intelligence

His main research concerns Visualization, Data visualization, Data science, Big data and World Wide Web. His Visualization research incorporates themes from Theoretical computer science, Event, Debugging, Workflow and Data set. He has researched Workflow in several fields, including Computer graphics, Solid modeling, Human–computer interaction, Scripting language and Generative grammar.

His work deals with themes such as Use case and Documentation, which intersect with Data visualization. His Petabyte study in the realm of Big data interacts with subjects such as Sampling. His research integrates issues of Rendering and Set in his study of World Wide Web.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Visualizing the Signatures of Social Roles in Online Discussion Groups

Howard T. Welser;Eric Gleave;Danyel Fisher;Marc A. Smith.
Journal of Social Structure (2007)

518 Citations

Analysis and Visualization of Network Data using JUNG

Joshua O’Madadhain;Danyel Fisher;Padhraic Smyth;Yan-Biao Boey.
(2005)

404 Citations

Animated exploration of dynamic graphs with radial layout

Ka-Ping Yee;D. Fisher;R. Dhamija;M. Hearst.
ieee symposium on information visualization (2001)

403 Citations

Effectiveness of Animation in Trend Visualization

G. Robertson;R. Fernandez;D. Fisher;B. Lee.
IEEE Transactions on Visualization and Computer Graphics (2008)

399 Citations

You Are Who You Talk To: Detecting Roles in Usenet Newsgroups

D. Fisher;M. Smith;H.T. Welser.
hawaii international conference on system sciences (2006)

333 Citations

Interactions with big data analytics

Danyel Fisher;Rob DeLine;Mary Czerwinski;Steven Drucker.
Interactions (2012)

320 Citations

Incremental visualization for structured data in an enterprise-level data store

Danyel A. Fisher;Arnd Christian König;Steven M. Drucker.
(2012)

284 Citations

Picturing Usenet: Mapping Computer-Mediated Collective Action

Tammara Combs Turner;Marc A. Smith;Danyel Fisher;Howard T. Welser.
Journal of Computer-Mediated Communication (2005)

268 Citations

Revisiting Whittaker & Sidner's "email overload" ten years later

Danyel Fisher;A. J. Brush;Eric Gleave;Marc A. Smith.
conference on computer supported cooperative work (2006)

211 Citations

Trust me, i'm partially right: incremental visualization lets analysts explore large datasets faster

Danyel Fisher;Igor Popov;Steven Drucker;m.c. schraefel.
human factors in computing systems (2012)

209 Citations

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