Chris Kanich

2.3k citations
51 papers · 1.5k indexed · h-index 22
Topics
Spam and Phishing Detection (22 papers)Advanced Malware Detection Techniques (19 papers)Internet Traffic Analysis and Secure E-voting (14 papers)

In The Last Decade

Chris Kanich

48 papers receiving 1.4k citations

Peers

Chris Kanich
Comparison fields: 5 of 61
  • Information Systems 1.1k
  • Artificial Intelligence 652
  • Computer Networks and Communications 605
  • Signal Processing 580
  • Sociology and Political Science 289
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Rachel Greenstadt United States
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Citations per field
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Citations per year

Countries citing papers authored by Chris Kanich

Since Specialization
Citations

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

Fields of papers citing papers by Chris Kanich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chris Kanich

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 5
2 0
3 0
4 11
5 7
6 10
7
O Single Sign-Off, Where Art Thou? An Empirical Analysis of Single Sign-On Account Hijacking and Session Management on the Web.
22
8
Forgotten But Not Gone Identifying the Need for Longitudinal Data Management in Cloud Storage
4
9 10
10 52
11
No Please, After You: Detecting Fraud in Affiliate Marketing Networks.
14
12 2
13
The long Taile of typosquatting domain names
80
14
Analysis of eCrime in Crowd-sourced Labor Markets: Mechanical Turk vs. Freelancer.
3
15
Show me the money: characterizing spam-advertised revenue
74
16
No plan survives contact: experience with cybercrime measurement
12
17
Putting out a HIT: crowdsourcing malware installs
10
18
Spamcraft: an inside look at spam campaign orchestration
61
19
Storm: when researchers collide
6
20
Evaluation methods for internet security technology
2

About Chris Kanich

Chris Kanich is a scholar working on Signal Processing, Information Systems and Artificial Intelligence, having authored 51 papers that have together received 1.5k indexed citations. Recurring topics across this work include Spam and Phishing Detection (22 papers), Advanced Malware Detection Techniques (19 papers) and Internet Traffic Analysis and Secure E-voting (14 papers). The work is most often cited by research in Signal Processing (580 citations), Information Systems (1.1k citations) and Computer Networks and Communications (605 citations). Chris Kanich has collaborated with scholars based in United States, Hungary and Germany. Frequent co-authors include Geoffrey M. Voelker, Kirill Levchenko, Stefan Savage, Vern Paxson, Christian Kreibich, Brandon Enright, Peter Snyder, Damon McCoy, Márk Félegyházi and Nicholas Weaver. Their work appears in journals such as Communications of the ACM, Journal of Pediatric Nursing and Policy & Internet.

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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