Ram Dantu

126 papers receiving 1.9k citations

Peers

Ram Dantu
Comparison fields: 5 of 124
  • Signal Processing 310
  • Transportation 179
  • Information Systems 582
  • Computer Networks and Communications 574
  • Artificial Intelligence 439
Replace Guangtao Xue with:
Guangtao Xue China
Stathes Hadjiefthymiades Greece
Elhadi Shakshuki Canada
Christos Anagnostopoulos Greece
Teruo Higashino Japan
Chengwen Luo China
Gencai Chen China
Varun G. Menon India
Guowei Wu China
Sergey Andreev Finland
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Citations per field
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Citations per year

Countries citing papers authored by Ram Dantu

Since Specialization
Citations

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

Fields of papers citing papers by Ram Dantu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 142 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012242
2 2011187
3 2013161
4 2012118
5 201870
6
Detecting spam in VoIP networks
200562
7 202157
8 200751
9 200449
10 201145
11 201845
12 201144
13 200944
14 201639
15 200836
16 200636
17 201132
18 201031
19 202231
20 200831

About Ram Dantu

Ram Dantu is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 142 papers that have together received 2.0k indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (27 papers), Blockchain Technology Applications and Security (25 papers), Spam and Phishing Detection (18 papers), Internet Traffic Analysis and Secure E-voting (17 papers), Context-Aware Activity Recognition Systems (14 papers), Human Mobility and Location-Based Analysis (14 papers), Advanced Malware Detection Techniques (11 papers) and Opportunistic and Delay-Tolerant Networks (11 papers). The work is most often cited by research in Signal Processing (310 citations), Transportation (179 citations), Information Systems (582 citations), Computer Networks and Communications (574 citations) and Artificial Intelligence (439 citations). Ram Dantu has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Kalyan Pathapati Subbu, Prakash Kolan, Mohamed Fazeen, João W. Cangussu, Santi Phithakkitnukoon, Marta C. González, Mark Thompson, Huiqi Zhang, Yanyan He and Kirill Morozov. Their work appears in journals such as ACM Transactions on Autonomous and Adaptive Systems, Computers & Security, IEEE Network, IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans and IEEE Transactions on Intelligent Transportation Systems.

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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