Daniel M. Russell
- Human-Computer Interaction top 0.5%
- Computer Vision and Pattern Recognition top 2%
- Information Systems top 2%
- Artificial Intelligence top 5%
- Sociology and Political Science top 5%
- Co-authors
- Peter PirolliStuart K. CardMark StefikDavid BeymerGeorge W. FurnasDiane TangElaine M. HuangCarrie Grimes
- Topics
- Personal Information Management and User Behavior (16 papers)Usability and User Interface Design (14 papers)Data Visualization and Analytics (10 papers)
- Journals
- SHILAP Revista de lepidopterologíaCommunications of the ACMArtificial Intelligence
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
Daniel M. Russell
83 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 125
- Human-Computer Interaction 500
- Computer Vision and Pattern Recognition 453
- Information Systems 437
- Artificial Intelligence 417
- Sociology and Political Science 324
Countries citing papers authored by Daniel M. Russell
This map shows the geographic impact of Daniel M. Russell'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 Daniel M. Russell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel M. Russell more than expected).
Fields of papers citing papers by Daniel M. Russell
This network shows the impact of papers produced by Daniel M. Russell. 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 Daniel M. Russell. The network helps show where Daniel M. Russell may publish in the future.
Co-authorship network of co-authors of Daniel M. Russell
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel M. Russell. A scholar is included among the top collaborators of Daniel M. Russell 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 Daniel M. Russell. Daniel M. Russell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 29 | |
| 3 | 67 | |
| 4 | 23 | |
| 5 | 25 | |
| 6 | 5 | |
| 7 | Mindtools: what does it mean to be literate in the age of Google? | 4 |
| 8 | 0 | |
| 9 | Making the Most of Online Searches | 3 |
| 10 | Sensemaking for the rest of us | 13 |
| 11 | 44 | |
| 12 | 1 | |
| 13 | 40 | |
| 14 | 62 | |
| 15 | Context Lenses - Document Visualization and Navigation Tools for Rapid Access to Detail. | 3 |
| 16 | 35 | |
| 17 | Ubiquitous Electronic Tagging | 25 |
| 18 | 0 | |
| 19 | 498 | |
| 20 | Constraint Networks: Modeling and Inferring Object Locations by Constraints, | 2 |
About Daniel M. Russell
Daniel M. Russell is a scholar working on Human-Computer Interaction, Information Systems and Management and Computer Science Applications, having authored 88 papers that have together received 1.9k indexed citations. Recurring topics across this work include Personal Information Management and User Behavior (16 papers), Usability and User Interface Design (14 papers) and Data Visualization and Analytics (10 papers). The work is most often cited by research in Human-Computer Interaction (500 citations), Computer Science Applications (246 citations) and Information Systems and Management (295 citations). Daniel M. Russell has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Peter Pirolli, Stuart K. Card, Mark Stefik, David Beymer, George W. Furnas, Diane Tang, Elaine M. Huang, Carrie Grimes, Clemens Drews and Norbert Streitz. Their work appears in journals such as SHILAP Revista de lepidopterología, Communications of the ACM and Artificial Intelligence.
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.