Vivek Kumar

845 total citations
26 papers, 277 citations indexed

About

Vivek Kumar is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Vivek Kumar has authored 26 papers receiving a total of 277 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 4 papers in Information Systems and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Vivek Kumar's work include Topic Modeling (6 papers), Sentiment Analysis and Opinion Mining (4 papers) and Natural Language Processing Techniques (3 papers). Vivek Kumar is often cited by papers focused on Topic Modeling (6 papers), Sentiment Analysis and Opinion Mining (4 papers) and Natural Language Processing Techniques (3 papers). Vivek Kumar collaborates with scholars based in Italy, India and United States. Vivek Kumar's co-authors include Daniele Riboni, Rim Helaoui, Diego Reforgiato Recupero, Dang N. H. Thanh, Uğur Erkan, Nguyễn Ngọc Hiền, Prayag Tiwari, V. B. Surya Prasath, Jagjit Singh and S. Srinivasan and has published in prestigious journals such as Journal of Clinical Oncology, IEEE Access and Transportation Research Record Journal of the Transportation Research Board.

In The Last Decade

Vivek Kumar

22 papers receiving 259 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vivek Kumar Italy 10 128 53 45 22 22 26 277
Mohammad Shahadat Hossain Bangladesh 12 125 1.0× 26 0.5× 60 1.3× 40 1.8× 16 0.7× 39 378
Entesar Hamed I. Eliwa Saudi Arabia 7 98 0.8× 44 0.8× 53 1.2× 11 0.5× 15 0.7× 17 270
Amr Mohamed El Koshiry Saudi Arabia 6 98 0.8× 42 0.8× 53 1.2× 10 0.5× 15 0.7× 13 261
Marco Alfonse Egypt 10 201 1.6× 40 0.8× 66 1.5× 6 0.3× 20 0.9× 46 345
Arunima Jaiswal India 10 208 1.6× 25 0.5× 99 2.2× 7 0.3× 20 0.9× 42 387
Luciano Caroprese Italy 12 241 1.9× 42 0.8× 59 1.3× 38 1.7× 14 0.6× 51 360
J. Angel Arul Jothi United Arab Emirates 12 189 1.5× 113 2.1× 30 0.7× 10 0.5× 13 0.6× 34 366
Mohamed Elaraby Egypt 9 180 1.4× 45 0.8× 34 0.8× 5 0.2× 11 0.5× 17 306
Ghadah Naif Alwakid Saudi Arabia 10 164 1.3× 52 1.0× 37 0.8× 71 3.2× 7 0.3× 38 351
Zakaria Elberrichi Algeria 11 266 2.1× 65 1.2× 106 2.4× 16 0.7× 9 0.4× 38 373

Countries citing papers authored by Vivek Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Vivek Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vivek Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Vivek Kumar. A scholar is included among the top collaborators of Vivek 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 Vivek Kumar. Vivek 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
1.
Miller, Brandi, Diptaraj Chaudhari, Rohit Shukla, et al.. (2025). Gut microbiome signatures predict cognitive impairment in older cancer survivors. GeroScience.
2.
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Czerniecki, Brian J., Michael Jaglal, Shalini Jain, et al.. (2024). Evaluating gut microbiome as a biomarker of pathological complete response in patients with early locally advanced triple negative breast cancer (LA TNBC): A pilot study.. Journal of Clinical Oncology. 42(16_suppl). 593–593. 1 indexed citations
4.
Reiter, Ehud, et al.. (2024). Ask the experts: sourcing a high-quality nutrition counseling dataset through Human-AI collaboration. Aberdeen University Research Archive (Aberdeen University). 11519–11545. 2 indexed citations
5.
Kumar, Vivek, et al.. (2024). Enhanced Customer Insights: Multimodal NLP Feedback System. 1–5. 3 indexed citations
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Kumar, Vivek, et al.. (2023). Artificially Intelligent Readers: An Adaptive Framework for Original Handwritten Numerical Digits Recognition with OCR Methods. Information. 14(6). 305–305. 12 indexed citations
8.
Kumar, Vivek, et al.. (2023). Creation, Analysis and Evaluation of AnnoMI, a Dataset of Expert-Annotated Counselling Dialogues. Future Internet. 15(3). 110–110. 9 indexed citations
9.
Samuel, Yana, et al.. (2023). Cultivation of human centered artificial intelligence: culturally adaptive thinking in education (CATE) for AI. Frontiers in Artificial Intelligence. 6. 1198180–1198180. 10 indexed citations
10.
Singh, Archana, et al.. (2023). Emoji, Text, and Sentiment Polarity Detection Using Natural Language Processing. Information. 14(4). 222–222. 7 indexed citations
11.
Kumar, Vivek, et al.. (2022). Data Augmentation for Reliability and Fairness in Counselling Quality Classification. Aberdeen University Research Archive (Aberdeen University). 23–28. 5 indexed citations
12.
Kumar, Vivek, Diego Reforgiato Recupero, Rim Helaoui, & Daniele Riboni. (2022). K-LM: Knowledge Augmenting in Language Models Within the Scholarly Domain. IEEE Access. 10. 91802–91815. 12 indexed citations
13.
Kumar, Vivek, Diego Reforgiato Recupero, Daniele Riboni, & Rim Helaoui. (2020). Ensembling Classical Machine Learning and Deep Learning Approaches for Morbidity Identification From Clinical Notes. IEEE Access. 9. 7107–7126. 61 indexed citations
14.
Dessı̀, Danilo, Rim Helaoui, Vivek Kumar, Diego Reforgiato Recupero, & Daniele Riboni. (2020). TF-IDF vs Word Embeddings for Morbidity Identification in Clinical Notes: An Initial Study. arXiv (Cornell University). 2596. 1–12. 9 indexed citations
15.
Kumar, Vivek, et al.. (2018). A Robust Zonal Fractal Dimension Method for the Recognition of Handwritten Telugu Digits. International Journal of Image Graphics and Signal Processing. 10(9). 42–55.
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Kumar, Vivek, et al.. (2017). Unsupervised learning dimensionality reduction algorithm PCA for face recognition. 32–37. 12 indexed citations
19.
Tiwari, Prayag, et al.. (2017). Improved performance of data warehouse. 2. 94–104. 7 indexed citations
20.
Kumar, Vivek, et al.. (2013). Detection of Malware by using Sequence Alignment Strategy and Data Mining Techniques. 61(22). 16–19. 5 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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