Daniel M. Russell

3.2k total citations
88 papers, 1.9k citations indexed

About

Daniel M. Russell is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Daniel M. Russell has authored 88 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Human-Computer Interaction, 24 papers in Computer Vision and Pattern Recognition and 17 papers in Information Systems. Recurrent topics in Daniel M. Russell's work include Personal Information Management and User Behavior (16 papers), Usability and User Interface Design (14 papers) and Data Visualization and Analytics (10 papers). Daniel M. Russell is often cited by papers focused on Personal Information Management and User Behavior (16 papers), Usability and User Interface Design (14 papers) and Data Visualization and Analytics (10 papers). Daniel M. Russell collaborates with scholars based in United States, Australia and Canada. Daniel M. Russell's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, Communications of the ACM and Artificial Intelligence.

In The Last Decade

Daniel M. Russell

83 papers receiving 1.7k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel M. Russell United States 23 500 453 437 417 324 88 1.9k
Stuart Card United States 12 668 1.3× 451 1.0× 648 1.5× 407 1.0× 363 1.1× 26 2.2k
Jeff Huang United States 24 587 1.2× 441 1.0× 702 1.6× 495 1.2× 450 1.4× 92 2.3k
Maria Francesca Costabile Italy 25 800 1.6× 499 1.1× 648 1.5× 374 0.9× 268 0.8× 139 2.3k
Ron Baecker Canada 20 395 0.8× 237 0.5× 405 0.9× 228 0.5× 270 0.8× 54 1.6k
Les Nelson United States 20 468 0.9× 188 0.4× 403 0.9× 294 0.7× 507 1.6× 41 1.5k
Jacek Gwizdka United States 27 476 1.0× 284 0.6× 935 2.1× 440 1.1× 443 1.4× 120 2.5k
Jan Blom Finland 20 376 0.8× 269 0.6× 266 0.6× 194 0.5× 528 1.6× 38 2.0k
Max Van Kleek United Kingdom 23 503 1.0× 180 0.4× 349 0.8× 331 0.8× 425 1.3× 101 1.7k
Rosa Lanzilotti Italy 22 539 1.1× 358 0.8× 485 1.1× 168 0.4× 167 0.5× 100 1.7k
John Rieman United States 12 859 1.7× 201 0.4× 481 1.1× 265 0.6× 222 0.7× 19 1.7k

Countries citing papers authored by Daniel M. Russell

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Russell, Daniel M., et al.. (2024). Discovering Datasets on the Web Scale: Challenges and Recommendations for Google Dataset Search. SHILAP Revista de lepidopterología. 2 indexed citations
2.
Consolvo, Sunny, et al.. (2023). Practicing Information Sensibility: How Gen Z Engages with Online Information. 1–17. 29 indexed citations
3.
An, Lawrence C., Elizabeth Bacon, Sarah T. Hawley, et al.. (2021). Relationship Between Coronavirus-Related eHealth Literacy and COVID-19 Knowledge, Attitudes, and Practices among US Adults: Web-Based Survey Study. Journal of Medical Internet Research. 23(3). e25042–e25042. 67 indexed citations
4.
An, Lawrence C., Daniel M. Russell, Rada Mihalcea, et al.. (2021). Online Search Behavior Related to COVID-19 Vaccines: Infodemiology Study. SHILAP Revista de lepidopterología. 1(1). e32127–e32127. 23 indexed citations
5.
Roll, Ido, Daniel M. Russell, & Dragan Gašević. (2018). Learning at Scale. International Journal of Artificial Intelligence in Education. 28(4). 471–477. 25 indexed citations
6.
Cox, Rónadh, et al.. (2016). COMPARISON OF COASTAL BOULDER DEPOSITS (HOLOCENE AGE) ON ELEUTHERA, BAHAMAS, WITH STORM-TRANSPORTED BOULDERS ON ARAN ISLANDS, IRELAND. Abstracts with programs - Geological Society of America. 5 indexed citations
7.
Russell, Daniel M.. (2015). Mindtools: what does it mean to be literate in the age of Google?. Journal of computing sciences in colleges. 30(3). 5–6. 4 indexed citations
8.
Russell, Daniel M.. (2012). What does it mean to be literate in the age of Google?. 3–3.
9.
Russell, Daniel M.. (2011). Making the Most of Online Searches. APS observer. 24(4). 3 indexed citations
10.
Russell, Daniel M., Robin Jeffries, & Lilly Irani. (2008). Sensemaking for the rest of us. 13 indexed citations
11.
Huang, Elaine M., et al.. (2006). Secrets to success and fatal flaws: the design of large-display groupware. IEEE Computer Graphics and Applications. 26(1). 37–45. 44 indexed citations
12.
Russell, Daniel M. & Malcolm Slaney. (2004). Measuring the Tools and Behaviors of Sensemaking. Biochimica et Biophysica Acta. 980(1). 1–8. 1 indexed citations
13.
Huang, Elaine M., et al.. (2004). IM here. 279–286. 40 indexed citations
14.
Russell, Daniel M., et al.. (2002). Social Aspects of Using Large Public Interactive Displays for Collaboration. 229–236. 62 indexed citations
15.
Dieberger, Andreas & Daniel M. Russell. (2001). Context Lenses - Document Visualization and Navigation Tools for Rapid Access to Detail.. International Conference on Human-Computer Interaction. 545–552. 3 indexed citations
16.
Russell, Daniel M. & Rich Gossweiler. (2001). On the Design of Personal & Communal Large Information Scale Appliances. 354–361. 35 indexed citations
17.
Want, Roy & Daniel M. Russell. (2000). Ubiquitous Electronic Tagging. IEEE Computer Architecture Letters. 1(2). 25 indexed citations
18.
Russell, Daniel M.. (2000). Design brief: Xerox PARC. interactions. 7(2). 82–86.
19.
Russell, Daniel M., Mark Stefik, Peter Pirolli, & Stuart K. Card. (1993). The cost structure of sensemaking. 269–276. 498 indexed citations
20.
Russell, Daniel M.. (1978). Constraint Networks: Modeling and Inferring Object Locations by Constraints,. Defense Technical Information Center (DTIC). 2 indexed citations

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.

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