Eve M. Schooler

4.3k citations
41 papers · 747 indexed · h-index 15

Eve M. Schooler

39 papers receiving 685 citations

Peers

Eve M. Schooler
Comparison fields: 5 of 83
  • Computer Networks and Communications 506
  • Information Systems 154
  • Artificial Intelligence 212
  • Signal Processing 63
  • Human-Computer Interaction 27
Replace Leonard Barolli with:
Leonard Barolli Japan
Hon Cheung Australia
Yang Qin China
Raja Kumar Murugesan Malaysia
Weijia Jia China
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Citations per field
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Citations per year

Countries citing papers authored by Eve M. Schooler

Since Specialization
Citations

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

Fields of papers citing papers by Eve M. Schooler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eve M. Schooler. 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 Eve M. Schooler. The network helps show where Eve M. Schooler may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Eve M. Schooler, 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 Eve M. Schooler Line = papers co-authored together Eve M. Schooler links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20237
2 20213
3 202111
4
IoT Edge Challenges and Functions
20207
5 20184
6 201891
7 201712
8 201633
9 201337
10 201317
11 20104
12
When gossip is good: distributed probabilistic inference for detection of slow network intrusions
200642
13 200311
14 20025
15 20028
16
Fcast Multicast File Distribution: "Tune in, Download, and Drop Out".
19992
17
Using Multicast FEC to Solve the Midnight Madness Problem
199734
18 19965
19 199610
20 199212

About Eve M. Schooler

Eve M. Schooler is a scholar working on Computer Networks and Communications, Hardware and Architecture and Signal Processing, having authored 41 papers that have together received 747 indexed citations. Recurring topics across this work include Caching and Content Delivery (12 papers), Peer-to-Peer Network Technologies (7 papers), IoT and Edge/Fog Computing (7 papers), Multimedia Communication and Technology (7 papers), Advanced Data Storage Technologies (5 papers), Network Security and Intrusion Detection (5 papers), Distributed systems and fault tolerance (4 papers) and Distributed and Parallel Computing Systems (4 papers). The work is most often cited by research in Computer Networks and Communications (506 citations), Information Systems (154 citations) and Artificial Intelligence (212 citations). Eve M. Schooler has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Jianqing Zhang, Mihaela Ion, Xinlei Wang, Jim Gemmell, Hassnaa Moustafa, S. Casner, Hae Young Noh, Pei Zhang, Mostafa Mirshekari and Jonathon Fagert. Their work appears in journals such as IEEE Journal on Selected Areas in Communications, Mechanical Systems and Signal Processing and ACM SIGCOMM Computer Communication Review.

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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