Aaron Schulman

1.2k citations
41 papers · 903 · h-index 16

Impact in

Papers in

Aaron Schulman

39 papers receiving 871 citations

Peers

Aaron Schulman
Comparison fields: 5 of 56
  • Computer Networks and Communications 624
  • Signal Processing 106
  • Artificial Intelligence 286
  • Electrical and Electronic Engineering 419
  • Information Systems 161
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Citations per field
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Citations per year

Countries citing papers authored by Aaron Schulman

Since Specialization
Citations

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

Fields of papers citing papers by Aaron Schulman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010212
2 2015104
3 201073
4 201463
5 201159
6 202233
7 201030
8 201929
9 200823
10 202022
11
Atomix: a framework for deploying signal processing applications on wireless infrastructure
201522
12 201520
13 201419
14 201919
15 200918
16 200817
17 200413
18 201911
19 201010
20 201810

About Aaron Schulman

Aaron Schulman is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Artificial Intelligence, Signal Processing and Information Systems, having authored 41 papers that have together received 903 indexed citations. Recurring topics across this work include Internet Traffic Analysis and Secure E-voting (12 papers), Wireless Networks and Protocols (10 papers), Network Security and Intrusion Detection (7 papers), Advanced Malware Detection Techniques (6 papers), Advanced MIMO Systems Optimization (5 papers), Spam and Phishing Detection (5 papers), Energy Harvesting in Wireless Networks (4 papers) and Caching and Content Delivery (4 papers). The work is most often cited by research in Computer Networks and Communications (624 citations), Signal Processing (106 citations), Artificial Intelligence (286 citations), Electrical and Electronic Engineering (419 citations) and Information Systems (161 citations). Aaron Schulman has collaborated with scholars based in United States, India and Italy. Frequent co-authors include Neil Spring, Dave Levin, Vishnu Navda, Kamal Jain, Ramachandran Ramjee, Venkata N. Padmanabhan, Pralhad Deshpande, Christo Wilson, Alan Mislove and David Choffnes. Their work appears in journals such as Communications of the ACM, ACM SIGCOMM Computer Communication Review, Journal of Natural Products, IEEE Transactions on Circuits & Systems II Express Briefs 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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