Vive Kumar

1.5k total citations
80 papers, 718 citations indexed

About

Vive Kumar is a scholar working on Computer Science Applications, Artificial Intelligence and Developmental and Educational Psychology. According to data from OpenAlex, Vive Kumar has authored 80 papers receiving a total of 718 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Computer Science Applications, 28 papers in Artificial Intelligence and 20 papers in Developmental and Educational Psychology. Recurrent topics in Vive Kumar's work include Online Learning and Analytics (27 papers), Innovative Teaching and Learning Methods (18 papers) and Intelligent Tutoring Systems and Adaptive Learning (16 papers). Vive Kumar is often cited by papers focused on Online Learning and Analytics (27 papers), Innovative Teaching and Learning Methods (18 papers) and Intelligent Tutoring Systems and Adaptive Learning (16 papers). Vive Kumar collaborates with scholars based in Canada, India and United States. Vive Kumar's co-authors include David Boulanger, Kinshuk Kinshuk, Kannan Govindarajan, Philip H. Winne, Allyson F. Hadwin, John C. Nesbit, Thamarai Selvi Somasundaram, Nancy E. Perry, Roger Azevedo and Susanne P. Lajoie and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computers in Human Behavior and IEEE Access.

In The Last Decade

Vive Kumar

72 papers receiving 664 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vive Kumar Canada 14 271 219 185 169 155 80 718
Brendan Flanagan Japan 16 347 1.3× 218 1.0× 151 0.8× 173 1.0× 288 1.9× 106 777
H. Chad Lane United States 15 216 0.8× 370 1.7× 216 1.2× 74 0.4× 75 0.5× 45 755
Rafael Ferreira Mello Brazil 16 465 1.7× 321 1.5× 167 0.9× 309 1.8× 163 1.1× 116 893
Daniel Manrique Spain 12 137 0.5× 152 0.7× 127 0.7× 335 2.0× 109 0.7× 42 663
Rasheed Abubakar Rasheed Malaysia 9 250 0.9× 77 0.4× 141 0.8× 658 3.9× 289 1.9× 13 1.0k
Daniel Livingstone United Kingdom 13 85 0.3× 104 0.5× 240 1.3× 175 1.0× 73 0.5× 43 659
Abdülkadir Karadeniz Türkiye 10 291 1.1× 118 0.5× 73 0.4× 315 1.9× 148 1.0× 22 730
Cristian Cechinel Brazil 16 400 1.5× 148 0.7× 77 0.4× 144 0.9× 247 1.6× 88 673
Yoav Bergner United States 13 501 1.8× 225 1.0× 160 0.9× 227 1.3× 104 0.7× 48 734
Christos Pierrakeas Greece 13 486 1.8× 231 1.1× 74 0.4× 240 1.4× 165 1.1× 47 735

Countries citing papers authored by Vive Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Vive Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vive Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Vive Kumar. A scholar is included among the top collaborators of Vive Kumar 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 Vive Kumar. Vive Kumar 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
2.
Pinto, Rafael Zambelli, et al.. (2022). Systematic Review on Information Technology Approaches to Evaluate the Impact of Public Health Campaigns: Real Cases and Possible Directions. Frontiers in Public Health. 9. 715403–715403. 10 indexed citations
3.
Valentim, Ricardo Alexsandro de Medeiros, et al.. (2021). Analyzing the reach of public health campaigns based on multidimensional aspects: the case of the syphilis epidemic in Brazil. BMC Public Health. 21(1). 1632–1632. 26 indexed citations
4.
Valentim, Ricardo Alexsandro de Medeiros, et al.. (2021). Use of Interrupted Time Series Analysis in Understanding the Course of the Congenital Syphilis Epidemic in Brazil. The Lancet Regional Health - Americas. 7. 100163–100163. 29 indexed citations
5.
Kumar, Vive & David Boulanger. (2020). Automated Essay Scoring and the Deep Learning Black Box: How Are Rubric Scores Determined?. International Journal of Artificial Intelligence in Education. 31(3). 538–584. 53 indexed citations
6.
Kumar, Vive, et al.. (2020). Analytics-oriented Preventive Care for Communicable Disease. 17. 145–146. 1 indexed citations
7.
Boulanger, David & Vive Kumar. (2019). Shedding Light on the Automated Essay Scoring Process.. Educational Data Mining. 512–515. 2 indexed citations
8.
Kumar, Vive, et al.. (2018). Advancing learning through smart learning analytics: a review of case studies. AAOU Journal. 13(1). 1–12. 14 indexed citations
9.
Boulanger, David, Vive Kumar, & Shawn N. Fraser. (2018). Automating educational research through learning analytics: Data balancing and matching techniques. 1 indexed citations
10.
Kumar, Vive, Shawn N. Fraser, & David Boulanger. (2017). Discovering the Predictive Power of Five Baseline Writing Competences. 1(1). 176–226. 8 indexed citations
11.
Jeremić, Zoran, Vive Kumar, & Sabine Graf. (2017). MORPH. 596–597. 2 indexed citations
12.
Lee, Stella, Trevor Barker, & Vive Kumar. (2016). Effectiveness of a Learner-Directed Model for e-Learning.. Educational Technology & Society. 19(3). 221–233. 13 indexed citations
13.
Kumar, Vive, et al.. (2014). Competence analytics. Journal of Computers in Education. 1(4). 251–270. 12 indexed citations
14.
15.
Andrade, Priscila Cristina da Silva Thiengo de, P. Chand, Soichi Hayashi, et al.. (2012). Distributed Monitoring Infrastructure for Worldwide LHC Computing Grid. Journal of Physics Conference Series. 396(3). 32002–32002. 1 indexed citations
16.
Winne, Philip H., et al.. (2006). Using Technology to Support Self-Regulation in University Writing. 12. 1073–1075. 2 indexed citations
17.
Kumar, Vive, et al.. (2004). Applying Bayesian Belief Networks in Learning Object Quality Rating. EdMedia: World Conference on Educational Media and Technology. 2004(1). 5256–5262. 1 indexed citations
18.
Kumar, Vive, et al.. (2003). Rating Learning Object Quality with Bayesian Belief Networks. E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education. 2003(1). 1598–1601. 2 indexed citations
19.
Kumar, Vive, et al.. (2003). Cost Modeling for eLearning. E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education. 2003(1). 1554–1557. 1 indexed citations
20.
Kumar, Vive, et al.. (1997). VIDYA: A SITUATED CALL ENVIRONMENT. Computer Assisted Language Learning. 10(2). 149–172. 4 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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