Benjamin N. Waber
- Human-Computer Interaction top 2%
- Social Psychology top 10%
- Computer Vision and Pattern Recognition top 10%
- Statistical and Nonlinear Physics top 5%
- Transportation top 5%
- Co-authors
- Alex PentlandD. Olguı́nTaemie KimSinan AralLynn WuErik BrynjolfssonMatthew R. ScottMargrit Betke
- Topics
- Complex Network Analysis Techniques (7 papers)Opinion Dynamics and Social Influence (7 papers)Team Dynamics and Performance (6 papers)
- Journals
- Scientific ReportsJournal of the Association for Information SystemsIEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)
- Partner nations
- United StatesJapanGermany
In The Last Decade
Benjamin N. Waber
17 papers receiving 682 citations
Peers
Comparison fields: 5 of 97
- Human-Computer Interaction 168
- Social Psychology 161
- Computer Vision and Pattern Recognition 142
- Statistical and Nonlinear Physics 127
- Transportation 102
Countries citing papers authored by Benjamin N. Waber
This map shows the geographic impact of Benjamin N. Waber'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 Benjamin N. Waber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin N. Waber more than expected).
Fields of papers citing papers by Benjamin N. Waber
This network shows the impact of papers produced by Benjamin N. Waber. 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 Benjamin N. Waber. The network helps show where Benjamin N. Waber may publish in the future.
Co-authorship network of co-authors of Benjamin N. Waber
This figure shows the co-authorship network connecting the top 25 collaborators of Benjamin N. Waber. A scholar is included among the top collaborators of Benjamin N. Waber 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 Benjamin N. Waber. Benjamin N. Waber is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 50 | |
| 3 | 9 | |
| 4 | 8 | |
| 5 | 38 | |
| 6 | 5 | |
| 7 | Mining Face-to-Face Interaction Networks Using Sociometric Badges: Predicting Productivity in an IT Configuration Task | 27 |
| 8 | 278 | |
| 9 | 33 | |
| 10 | 12 | |
| 11 | 104 | |
| 12 | 45 | |
| 13 | Studying Microscopic Peer-to-Peer Communication Patterns | 15 |
| 14 | 29 | |
| 15 | 1 | |
| 16 | 17 | |
| 17 | 49 |
About Benjamin N. Waber
Benjamin N. Waber is a scholar working on Statistical and Nonlinear Physics, Human-Computer Interaction and Information Systems and Management, having authored 17 papers that have together received 735 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (7 papers), Opinion Dynamics and Social Influence (7 papers) and Team Dynamics and Performance (6 papers). The work is most often cited by research in Human-Computer Interaction (168 citations), Transportation (102 citations) and Computer Science Applications (60 citations). Benjamin N. Waber has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Alex Pentland, D. Olguı́n, Taemie Kim, Sinan Aral, Lynn Wu, Erik Brynjolfsson, Matthew R. Scott, Margrit Betke, John Magee and Jukka‐Pekka Onnela. Their work appears in journals such as Scientific Reports, Journal of the Association for Information Systems and IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics).
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.