Ram B. Basnet

1.2k citations
33 papers · 916 · h-index 17

Impact in

Papers in

    • Online Learning and Analytics 4
    • Teaching and Learning Programming 4
    • Intelligent Tutoring Systems and Adaptive Learning 5
    • Internet Traffic Analysis and Secure E-voting 3
    • Machine Learning and Data Classification 2

Ram B. Basnet

31 papers receiving 855 citations

Peers

Ram B. Basnet
Comparison fields: 5 of 73
  • Computer Science Applications 232
  • Information Systems 385
  • Computer Networks and Communications 103
  • Artificial Intelligence 135
  • Health Informatics 5
Replace Suzanne Wagner Dietrich with:
Suzanne Wagner Dietrich United States
Michele Catasta Switzerland
Min Lee United States
Christian Murphy United States
Djamshid Tavangarian Germany
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Curtis A. Carver United States
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Citations per year

Countries citing papers authored by Ram B. Basnet

Since Specialization
Citations

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

Fields of papers citing papers by Ram B. Basnet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Ram B. Basnet, 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 B. Basnet Line = papers co-authored together Ram B. Basnet links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008174
2 2017135
3 201981
4 201261
5 202242
6 200839
7 202138
8 202034
9 200733
10 201431
11 202229
12 201528
13 201527
14 202125
15 201824
16
Classifying Phishing Emails Using Confidence-Weighted Linear Classifiers
201023
17 201217
18 201717
19
Gene Selection for Tumor Classification Using Microarray Gene Expression Data
200710
20 20229

About Ram B. Basnet

Ram B. Basnet is a scholar working on Computer Science Applications, Artificial Intelligence, Information Systems, Computer Networks and Communications and Statistics, Probability and Uncertainty, having authored 33 papers that have together received 916 indexed citations. Recurring topics across this work include Spam and Phishing Detection (6 papers), Intelligent Tutoring Systems and Adaptive Learning (5 papers), Online Learning and Analytics (4 papers), Network Security and Intrusion Detection (4 papers), Teaching and Learning Programming (4 papers), Internet Traffic Analysis and Secure E-voting (3 papers), Machine Learning and Data Classification (2 papers) and scientometrics and bibliometrics research (1 paper). The work is most often cited by research in Computer Science Applications (232 citations), Information Systems (385 citations), Computer Networks and Communications (103 citations), Artificial Intelligence (135 citations) and Health Informatics (5 citations). Ram B. Basnet has collaborated with scholars based in United States, Canada and Portugal. Frequent co-authors include Tenzin Doleck, Andrew H. Sung, Srinivas Mukkamala, David John Lemay, Paul Bazelais, Qingzhong Liu, Susanne P. Lajoie, Eric Poitras, Bernardete Ribeiro and Louis S. Nadelson. Their work appears in journals such as Education and Information Technologies, IEEE Access, Journal of Computers in Education, Lecture notes in computer science and Eurasia Journal of Mathematics Science and Technology Education.

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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