Brad A. Myers

30.4k citations
435 papers · 16.6k indexed · 5 hit papers · h-index 64

Brad A. Myers

402 papers receiving 15.0k citations

Hit Papers

A Lar...531993202620042015200400600

Peers

Brad A. Myers
Comparison fields: 5 of 166
  • Human-Computer Interaction 5.8k
  • Software 3.4k
  • Computer Science Applications 2.6k
  • Information Systems and Management 1.8k
  • Information Systems 5.7k
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John Stasko United States
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Citations per field
00.5×3.6×
John Stasko · 1×
Citations per year

Countries citing papers authored by Brad A. Myers

Since Specialization
Citations

This map shows the geographic impact of Brad A. Myers'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 Brad A. Myers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brad A. Myers more than expected).

Fields of papers citing papers by Brad A. Myers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brad A. Myers. 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 Brad A. Myers. The network helps show where Brad A. Myers may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Brad A. Myers, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Brad A. Myers Line = papers co-authored together Brad A. Myers links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202416
2 20243
3 20242
4 20222
5 202010
6
Interactive Task and Concept Learning from Natural Language Instructions and GUI Demonstrations
20191
7
User-Centered Programming Language Design in the Obsidian Smart Contract Language.
20190
8 201621
9 20126
10 201220
11 20084
12
Comparing API Design Choices with Usability Studies: A Case Study and Future Directions
200613
13 200350
14
Intelligence in Demonstrational Interfaces.
20002
15
Ideas from Garnet for future user interface programming languages
19923
16 198932
17 19892
18 1986296
19 1986170
20 1986167

About Brad A. Myers

Brad A. Myers is a scholar working on Software, Human-Computer Interaction and Computer Science Applications, having authored 435 papers that have together received 16.6k indexed citations. Recurring topics across this work include Software Engineering Research (128 papers), Interactive and Immersive Displays (95 papers), Usability and User Interface Design (95 papers), Spreadsheets and End-User Computing (78 papers), Teaching and Learning Programming (40 papers), Personal Information Management and User Behavior (37 papers), Tactile and Sensory Interactions (36 papers) and Software Engineering Techniques and Practices (36 papers). The work is most often cited by research in Human-Computer Interaction (5.8k citations), Software (3.4k citations) and Computer Science Applications (2.6k citations). Brad A. Myers has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Amy J. Ko, Htet Htet Aung, James A. Landay, Jacob O. Wobbrock, Andrew J. Ko, William J. Buxton, Jeffrey Stylos, Thomas D. LaToza, John F. Pane and Randy Pausch. Their work appears in journals such as Communications of the ACM, Nanoscale and ACM Computing Surveys.

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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