Ram B. Basnet

1.2k total citations
31 papers, 547 citations indexed

About

Ram B. Basnet is a scholar working on Artificial Intelligence, Computer Science Applications and Information Systems. According to data from OpenAlex, Ram B. Basnet has authored 31 papers receiving a total of 547 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 9 papers in Computer Science Applications and 8 papers in Information Systems. Recurrent topics in Ram B. Basnet's work include Online Learning and Analytics (8 papers), Spam and Phishing Detection (6 papers) and Internet Traffic Analysis and Secure E-voting (6 papers). Ram B. Basnet is often cited by papers focused on Online Learning and Analytics (8 papers), Spam and Phishing Detection (6 papers) and Internet Traffic Analysis and Secure E-voting (6 papers). Ram B. Basnet collaborates with scholars based in United States, Canada and Portugal. Ram B. Basnet's co-authors include Tenzin Doleck, David John Lemay, Paul Bazelais, Andrew H. Sung, Srinivas Mukkamala, Clayton Johnson, Susanne P. Lajoie, Eric Poitras, Bernardete Ribeiro and Louis S. Nadelson and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Education and Information Technologies.

In The Last Decade

Ram B. Basnet

28 papers receiving 511 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Ram B. Basnet United States	15	218	217	145	120	87	31	547
Y.T. Yu Hong Kong	12	200 0.9×	132 0.6×	267 1.8×	64 0.5×	32 0.4×	35	780
Rodolfo Villarroel Chile	15	252 1.2×	130 0.6×	286 2.0×	127 1.1×	26 0.3×	61	640
Efthimia Aivaloglou Netherlands	13	392 1.8×	95 0.4×	213 1.5×	110 0.9×	24 0.3×	54	617
Rajendra K. Raj United States	11	155 0.7×	153 0.7×	304 2.1×	96 0.8×	31 0.4×	78	566
Nell Dale United States	13	310 1.4×	116 0.5×	139 1.0×	72 0.6×	26 0.3×	71	524
Linda Ott United States	10	381 1.7×	102 0.5×	482 3.3×	54 0.5×	59 0.7×	24	834
Patrik Floréen Finland	15	91 0.4×	165 0.8×	129 0.9×	178 1.5×	25 0.3×	44	605
Séamus Lawless Ireland	11	210 1.0×	250 1.2×	283 2.0×	50 0.4×	30 0.3×	73	680
Malcolm Corney Australia	13	182 0.8×	438 2.0×	343 2.4×	29 0.2×	59 0.7×	21	723
Michael J. Oudshoorn United States	11	135 0.6×	99 0.5×	219 1.5×	104 0.9×	14 0.2×	51	409

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-authorship network of co-authors of Ram B. Basnet

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Basnet, Ram B., et al.. (2024). BIE: Binary Image Encoding for the Classification of Tabular Data. Journal of Data Science. 109–129.

Basnet, Ram B., et al.. (2023). Tabular-to-Image Transformations for the Classification of Anonymous Network Traffic Using Deep Residual Networks. IEEE Access. 11. 113100–113113. 6 indexed citations

Basnet, Ram B., Clayton Johnson, & Tenzin Doleck. (2022). Dropout prediction in Moocs using deep learning and machine learning. Education and Information Technologies. 27(8). 11499–11513. 31 indexed citations

Basnet, Ram B., et al.. (2022). Detection and Characterization of DDoS Attacks Using Time-Based Features. IEEE Access. 10. 49794–49807. 21 indexed citations

Basnet, Ram B., et al.. (2022). Evaluation of Synthetic Data Generation Techniques in the Domain of Anonymous Traffic Classification. IEEE Access. 10. 129612–129625. 8 indexed citations

Basnet, Ram B., et al.. (2021). Feature Engineering and Machine Learning Model Comparison for Malicious Activity Detection in the DNS-Over-HTTPS Protocol. IEEE Access. 9. 129902–129916. 28 indexed citations

Lemay, David John, et al.. (2021). Instructional interventions for computational thinking: Examining the link between computational thinking and academic performance. SHILAP Revista de lepidopterología. 2. 100056–100056. 21 indexed citations

Lemay, David John, Ram B. Basnet, & Tenzin Doleck. (2020). Fearing the Robot Apocalypse: Correlates of AI Anxiety. Summit (Simon Fraser University). 2(2). 24–24. 21 indexed citations

Doleck, Tenzin, David John Lemay, Ram B. Basnet, & Paul Bazelais. (2019). Predictive analytics in education: a comparison of deep learning frameworks. Education and Information Technologies. 25(3). 1951–1963. 64 indexed citations

10.

Doleck, Tenzin, et al.. (2018). Exploring Bimodality in Introductory Computer Science Performance Distributions. Eurasia Journal of Mathematics Science and Technology Education. 14(10). 4 indexed citations

11.

Doleck, Tenzin, et al.. (2017). Algorithmic thinking, cooperativity, creativity, critical thinking, and problem solving: exploring the relationship between computational thinking skills and academic performance. Journal of Computers in Education. 4(4). 355–369. 119 indexed citations

12.

Basnet, Ram B. & Tenzin Doleck. (2015). Towards Developing a Tool to Detect Phishing URLs: A Machine Learning Approach. 220–223. 21 indexed citations

13.

Doleck, Tenzin, Ram B. Basnet, Eric Poitras, & Susanne P. Lajoie. (2015). Towards examining learner behaviors in a medical intelligent tutoring system: A Hidden Markov Model approach. 1. 329–332. 3 indexed citations

14.

Doleck, Tenzin, Ram B. Basnet, Eric Poitras, & Susanne P. Lajoie. (2014). BioWorldParser: A suite of parsers for leveraging educational data mining techniques. 32–35. 2 indexed citations

15.

Doleck, Tenzin, Ram B. Basnet, Eric Poitras, & Susanne P. Lajoie. (2014). Augmenting the novice-expert overlay model in an intelligent tutoring system: Using confidence-weighted linear classifiers. 1–4. 3 indexed citations

16.

Doleck, Tenzin, Ram B. Basnet, Eric Poitras, & Susanne P. Lajoie. (2014). Exploring the link between initial and final diagnosis in a medical intelligent tutoring system. 13–16. 4 indexed citations

17.

Basnet, Ram B. & Andrew H. Sung. (2012). Mining Web to Detect Phishing URLs. 568–573. 16 indexed citations

18.

Basnet, Ram B. & Andrew H. Sung. (2010). Classifying Phishing Emails Using Confidence-Weighted Linear Classifiers. 19 indexed citations

19.

Basnet, Ram B. & Srinivas Mukkamala. (2009). Event Detection and Localization using Sensor Networks. International Conference on Wireless Networks. 103–108. 1 indexed citations

20.

Basnet, Ram B., et al.. (2007). Gene Selection for Tumor Classification Using Microarray Gene Expression Data. World Congress on Engineering. 290–295. 8 indexed citations

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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