Daniel Salber

6.0k citations
29 papers · 4.6k · 2 hit papers · h-index 19

Impact in

Papers in

Daniel Salber

28 papers receiving 4.0k citations

Daniel Salber's Hit Papers

A Conceptual Framework and a Toolkit for Supporting the Rapid Prototyping of Context-Aware Applications 2001 · 2.3k citations
2.3k0+9+18Years since publication50010001.5k2.0k

Peers

Daniel Salber
Comparison fields: 5 of 87
  • Human-Computer Interaction 1.1k
  • Computer Vision and Pattern Recognition 3.3k
  • Computer Networks and Communications 2.0k
  • Information Systems and Management 472
  • Information Systems 1.1k
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Citations per year

Countries citing papers authored by Daniel Salber

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Salber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Salber. 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 Salber. The network helps show where Daniel Salber may publish in the future.

Co-authors

The 18 scholars most cited alongside Daniel Salber, 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 Daniel Salber Line = papers co-authored together Daniel Salber links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A Conceptual Framework and a Toolkit for Supporting the Rapid Prototyping of Context-Aware Applications
Hit paper breakdown →
20012266
2
The context toolkit
Hit paper breakdown →
1999897
3 2000222
4 1995192
5
The Context Toolkit : Aiding the Development of Context-Aware Applications
2000183
6 2003183
7 2001118
8 199397
9 200172
10
An Architecture to Support Context-Aware Applications
199963
11 199328
12
Ubiquitous Computing: Defining an HCI Research Agenda for an Emerging Interaction Paradigm
199828
13 199326
14 199325
15
Designing for Ubiquitous Computing: A Case Study in Context Sensing
199924
16 199622
17 199620
18
The Design and Use of a Generic Context Server
199820
19 199619
20
Two Case Studies of Software Architecture for Multimodal Interactive Systems: VoicePaint and a Voice-enabled Graphical Notebook
199215

About Daniel Salber

Daniel Salber is a scholar working on Human-Computer Interaction, Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications and Information Systems, having authored 29 papers that have together received 4.6k indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (12 papers), Speech and dialogue systems (12 papers), Usability and User Interface Design (12 papers), Personal Information Management and User Behavior (6 papers), IoT and Edge/Fog Computing (4 papers), Innovative Human-Technology Interaction (3 papers), Digital Communication and Language (2 papers) and Service-Oriented Architecture and Web Services (2 papers). The work is most often cited by research in Human-Computer Interaction (1.1k citations), Computer Vision and Pattern Recognition (3.3k citations), Computer Networks and Communications (2.0k citations), Information Systems and Management (472 citations) and Information Systems (1.1k citations). Daniel Salber has collaborated with scholars based in United States, France and Japan. Frequent co-authors include Gregory D. Abowd, Anind K. Dey, Joëlle Coutaz, Masayasu Futakawa, Philip Gray, Laurence Nigay, Jon May, Ann Blandford, Richard M. Young and Sandrine Balbo. Their work appears in journals such as IEEE Intelligent Systems, Knowledge-Based Systems, Behaviour and Information Technology, Human-Computer Interaction and Lecture notes in computer science.

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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