A. Chris Long

704 citations
12 papers · 416 indexed · h-index 7
Topics
Video Analysis and Summarization (5 papers)Multimedia Communication and Technology (5 papers)Interactive and Immersive Displays (4 papers)
Journals
KNOWLEDGE ORGANIZATIONFigshare
Partner nations
United StatesCanada

In The Last Decade

A. Chris Long

10 papers receiving 377 citations

Peers

A. Chris Long
Comparison fields: 5 of 46
  • Human-Computer Interaction 294
  • Cognitive Neuroscience 171
  • Computer Vision and Pattern Recognition 154
  • Information Systems 58
  • Sociology and Political Science 53
Replace Thorsten Karrer with:
Thorsten Karrer Germany
David Merrill United States
Stéphane Huot France
Jason Wu United States
Buntarou Shizuki Japan
Tommi Ilmonen Finland
Huy Viet Le Germany
Caroline Appert France
Ross Bencina Spain
Gabriel Reyes United States
A. Chris Long relative to Thorsten Karrer Germany Thorsten Karrer's profile →
Citations per field
00.5×1.5×
Thorsten Karrer · 1×
Citations per year

Countries citing papers authored by A. Chris Long

Since Specialization
Citations

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

Fields of papers citing papers by A. Chris Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Chris Long

This figure shows the co-authorship network connecting the top 25 collaborators of A. Chris Long. A scholar is included among the top collaborators of A. Chris Long 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 A. Chris Long. A. Chris Long is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1 0
2 1
3 0
4 3
5 43
6 1
7 9
8
Sketch Recognizers from the End-User's, the Designer's, and the Programmer's Perspective
20
9 165
10 54
11 16
12 104

About A. Chris Long

A. Chris Long is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Signal Processing, having authored 12 papers that have together received 416 indexed citations. Recurring topics across this work include Video Analysis and Summarization (5 papers), Multimedia Communication and Technology (5 papers) and Interactive and Immersive Displays (4 papers). The work is most often cited by research in Human-Computer Interaction (294 citations), Cognitive Neuroscience (171 citations) and Computer Vision and Pattern Recognition (154 citations). A. Chris Long has collaborated with scholars based in United States and Canada. Frequent co-authors include James A. Landay, Brad A. Myers, Lawrence A. Rowe, Robert J. Miller, Jeffrey Nichols, Andrew S. Patrick, Albert T. Corbett, Scott Stevens, Laura Dabbish and Jason Hong. Their work appears in journals such as KNOWLEDGE ORGANIZATION and Figshare.

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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