Brian Eoff

563 citations
13 papers · 199 · h-index 7

Impact in

Papers in

Journals
Proceedings of the International AAAI Conference on Web and Social Media (2 papers)National Conference on Artificial Intelligence (1 paper)arXiv (Cornell University) (1 paper)Eurographics (1 paper)Graphics Interface (1 paper)
Partner nations
United StatesSouth Korea

In The Last Decade

Brian Eoff

13 papers receiving 183 citations

Peers

Brian Eoff
Comparison fields: 5 of 40
  • Human-Computer Interaction 35
  • Information Systems 106
  • Signal Processing 42
  • Computer Networks and Communications 58
  • Artificial Intelligence 70
Replace Irvin Dongo with:
Irvin Dongo Peru
John V. Cugini United States
Payas Gupta United States
Kuldeep Singh Yadav India
Lifa Wu China
Kris Popat United States
Stephanie M. Lukin United States
Antje Düsterhöft Germany
Prachi Jain India
Peter Poller Germany
Brian Eoff relative to Irvin Dongo Peru Irvin Dongo's profile →
Citations per field
00.5×12×
Irvin Dongo · 1×
Citations per year

Countries citing papers authored by Brian Eoff

Since Specialization
Citations

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

Fields of papers citing papers by Brian Eoff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Brian Eoff, 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 Brian Eoff Line = papers co-authored together Brian Eoff links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2021118
2 200822
3 200816
4 20238
5
Who dotted that 'i'?: context free user differentiation through pressure and tilt pen data
20098
6 20087
7 20226
8 20105
9 20102
10 20042
11 20092
12
Search Your Mobile Sketch: Improving the Ratio of Interaction to Information on Mobile Devices
20092
13
User identification by means of sketched stroke features
20081

About Brian Eoff

Brian Eoff is a scholar working on Information Systems, Human-Computer Interaction, Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 13 papers that have together received 199 indexed citations. Recurring topics across this work include Interactive and Immersive Displays (5 papers), Spam and Phishing Detection (3 papers), Hand Gesture Recognition Systems (3 papers), Sentiment Analysis and Opinion Mining (2 papers), Augmented Reality Applications (2 papers), Tactile and Sensory Interactions (2 papers), Emotion and Mood Recognition (2 papers) and Peer-to-Peer Network Technologies (2 papers). The work is most often cited by research in Human-Computer Interaction (35 citations), Information Systems (106 citations), Signal Processing (42 citations), Computer Networks and Communications (58 citations) and Artificial Intelligence (70 citations). Brian Eoff has collaborated with scholars based in United States and South Korea. Frequent co-authors include James Caverlee, Kyumin Lee, Tracy Hammond, Robert J. Graham, Brendan Jou, Krishna Somandepalli, H. Jerry Qi, Arsha Nagrani, Zhiyuan Cheng and Krishna Kamath. Their work appears in journals such as Proceedings of the International AAAI Conference on Web and Social Media, National Conference on Artificial Intelligence, arXiv (Cornell University), Eurographics and Graphics Interface.

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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