Ed Kaiser

639 citations
16 papers · 453 · h-index 8

Impact in

Papers in

Ed Kaiser

16 papers receiving 404 citations

Peers

Ed Kaiser
Comparison fields: 5 of 45
  • Human-Computer Interaction 108
  • Computer Networks and Communications 202
  • Computer Vision and Pattern Recognition 153
  • Artificial Intelligence 124
  • Signal Processing 38
Replace Taejin Ha with:
Taejin Ha South Korea
Xiaoguang Li China
Woosub Jung United States
Hao Kong China
Mazen M. Selim Egypt
Roger Achkar Lebanon
Yutong Chen China
Vasily G. Moshnyaga Japan
Alan W.C. Tan Malaysia
Ed Kaiser relative to Taejin Ha South Korea Taejin Ha's profile →
Citations per field
00.5×1.7×
Taejin Ha · 1×
Citations per year

Countries citing papers authored by Ed Kaiser

Since Specialization
Citations

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

Fields of papers citing papers by Ed Kaiser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Ed Kaiser, 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 Ed Kaiser Line = papers co-authored together Ed Kaiser links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2005163
2 2003127
3 200356
4 200423
5 200822
6 200515
7 200312
8 20078
9 20036
10 20085
11 20074
12 19974
13
kaPoW Webmail: Effective Disincentives Against Spam
20104
14 20032
15 20031
16
A Platform for Multilingual Research in Spoken Dialogue Systems
20001

About Ed Kaiser

Ed Kaiser is a scholar working on Computer Networks and Communications, Artificial Intelligence, Information Systems, Social Psychology and Computer Vision and Pattern Recognition, having authored 16 papers that have together received 453 indexed citations. Recurring topics across this work include Speech and dialogue systems (4 papers), Opportunistic and Delay-Tolerant Networks (4 papers), Caching and Content Delivery (3 papers), Energy Efficient Wireless Sensor Networks (3 papers), Spam and Phishing Detection (3 papers), Wireless Networks and Protocols (3 papers), User Authentication and Security Systems (3 papers) and Multi-Agent Systems and Negotiation (2 papers). The work is most often cited by research in Human-Computer Interaction (108 citations), Computer Networks and Communications (202 citations), Computer Vision and Pattern Recognition (153 citations), Artificial Intelligence (124 citations) and Signal Processing (38 citations). Ed Kaiser has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Wu‐chi Feng, Wu Feng, Wu-chang Feng, Hrvoje Benko, Andrea Corradini, Steven Feiner, Alex Olwal, Xiaoguang Li, Philip R. Cohen and David R. McGee. Their work appears in journals such as ACM Transactions on Multimedia Computing Communications and Applications and Defense Technical Information Center (DTIC).

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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