Divya Tomar

1.5k total citations · 1 hit paper
36 papers, 1.0k citations indexed

About

Divya Tomar is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Divya Tomar has authored 36 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 9 papers in Information Systems and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Divya Tomar's work include Imbalanced Data Classification Techniques (8 papers), Face and Expression Recognition (7 papers) and Text and Document Classification Technologies (6 papers). Divya Tomar is often cited by papers focused on Imbalanced Data Classification Techniques (8 papers), Face and Expression Recognition (7 papers) and Text and Document Classification Technologies (6 papers). Divya Tomar collaborates with scholars based in India and Israel. Divya Tomar's co-authors include Sonali Agarwal, Bhuvaneswari Krishnamoorthy, Akhilesh Kumar Yadav, Sankalp Verma, Shubham Singhal, Ravi Prakash Sasankoti Mohan, Sonal Agarwal, Shikha Singh and Shipra Jaidka and has published in prestigious journals such as SHILAP Revista de lepidopterología, Knowledge-Based Systems and International Journal of Computational Intelligence Systems.

In The Last Decade

Divya Tomar

35 papers receiving 982 citations

Hit Papers

A survey on Data Mining approaches for Healthcare 2013 2026 2017 2021 2013 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Divya Tomar India 14 484 262 223 217 78 36 1.0k
Sultan Aljahdali Saudi Arabia 17 239 0.5× 72 0.3× 135 0.6× 268 1.2× 183 2.3× 99 1.0k
Abdullah Alsaeedi Saudi Arabia 17 409 0.8× 48 0.2× 150 0.7× 301 1.4× 80 1.0× 55 1.2k
F. M. Javed Mehedi Shamrat Bangladesh 21 679 1.4× 487 1.9× 189 0.8× 145 0.7× 14 0.2× 67 1.6k
Sachin Ahuja India 13 411 0.8× 268 1.0× 103 0.5× 144 0.7× 4 0.1× 98 1.0k
Mohammed Alzahrani Saudi Arabia 15 310 0.6× 222 0.8× 100 0.4× 115 0.5× 6 0.1× 59 1.0k
Pradeep Singh India 18 669 1.4× 134 0.5× 190 0.9× 315 1.5× 178 2.3× 98 1.4k
K. Vijayakumar India 18 342 0.7× 75 0.3× 106 0.5× 194 0.9× 10 0.1× 73 980
Hang Yu China 15 333 0.7× 32 0.1× 394 1.8× 96 0.4× 27 0.3× 69 1.1k
Wenjie Ruan United Kingdom 19 743 1.5× 107 0.4× 285 1.3× 124 0.6× 66 0.8× 78 1.5k
Murat Karabatak Türkiye 13 702 1.5× 154 0.6× 306 1.4× 193 0.9× 5 0.1× 77 1.4k

Countries citing papers authored by Divya Tomar

Since Specialization
Citations

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

Fields of papers citing papers by Divya Tomar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Divya Tomar

This figure shows the co-authorship network connecting the top 25 collaborators of Divya Tomar. A scholar is included among the top collaborators of Divya Tomar 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 Divya Tomar. Divya Tomar 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.
Tomar, Divya, et al.. (2016). Link Prediction for Authorship Association in Heterogeneous Network Using Streaming Classification. International Journal of Grid and Distributed Computing. 9(4). 135–150. 1 indexed citations
2.
Tomar, Divya, et al.. (2016). A Novel Application of Spatial Data Mining in Air Pollution. IJITR International Journal of Innovative Technology and Research - IJITR International Journal of Innovative Technology and Research. 4(1). 2621–2623. 1 indexed citations
3.
Jaidka, Shipra, et al.. (2016). Evaluation of different Diagnostic Modalities for Diagnosis of Dental Caries: An in vivo Study. International Journal of Clinical Pediatric Dentistry. 9(4). 320–325. 8 indexed citations
4.
Tomar, Divya. (2016). Central Telangiectatic Osteosarcoma of the Mandible in a Paediatric Patient: A Rarity. JOURNAL OF CLINICAL AND DIAGNOSTIC RESEARCH. 10(12). XD01–XD03. 9 indexed citations
5.
Tomar, Divya & Sonali Agarwal. (2016). MIMLTWSVM: Twin support vector machine for multi-instance multi-label learning. 89. 492–497. 1 indexed citations
6.
Tomar, Divya & Sonali Agarwal. (2016). Leaf Recognition for Plant Classification Using Direct Acyclic Graph Based Multi-Class Least Squares Twin Support Vector Machine. International Journal of Image and Graphics. 16(3). 1650012–1650012. 13 indexed citations
7.
Tomar, Divya & Sonal Agarwal. (2016). Twin Support Vector Machine for Multiple Instance Learning Based on Bag Dissimilarities. 2016. 1–18. 1 indexed citations
8.
Tomar, Divya, et al.. (2016). Efficacy of Transcutaneous Electric Nerve Stimulation on Parotid Saliva Flow Rate in Relation to Age and Gender.. PubMed. 17(3). 164–70. 4 indexed citations
9.
Tomar, Divya, et al.. (2016). A method for handling clusturing of uncertain data. 22. 1–5.
10.
Tomar, Divya & Sonali Agarwal. (2015). A comparison on multi-class classification methods based on least squares twin support vector machine. Knowledge-Based Systems. 81. 131–147. 125 indexed citations
11.
Tomar, Divya & Sonali Agarwal. (2015). Direct acyclic graph based multi-class twin support vector machine for pattern classification. 80–85. 4 indexed citations
12.
Tomar, Divya & Sonali Agarwal. (2015). An effective Weighted Multi-class Least Squares Twin Support Vector Machine for Imbalanced data classification. International Journal of Computational Intelligence Systems. 8(4). 761–761. 23 indexed citations
13.
Tomar, Divya, et al.. (2015). A Survey of Sentiment Analysis for Journal Citation. Indian Journal of Science and Technology. 8(35). 8 indexed citations
14.
Tomar, Divya, et al.. (2015). Analysis of Bug Triage using Data Preprocessing (Reduction) Techniques. International Journal of Computer Applications. 125(9). 8–15. 2 indexed citations
15.
Tomar, Divya, et al.. (2014). Predicting the survivability of breast cancer patients using ensemble approach. 459–464. 25 indexed citations
16.
Agarwal, Sonali, et al.. (2014). Prediction of software defects using Twin Support Vector Machine. 17 indexed citations
17.
Tomar, Divya & Sonali Agarwal. (2014). Feature Selection based Least Square Twin Support Vector Machine for Diagnosis of Heart Disease. International Journal of Bio-Science and Bio-Technology. 6(2). 69–82. 70 indexed citations
18.
Tomar, Divya & Sonali Agarwal. (2013). A survey on Data Mining approaches for Healthcare. International Journal of Bio-Science and Bio-Technology. 5(5). 241–266. 317 indexed citations breakdown →
19.
Yadav, Akhilesh Kumar, Divya Tomar, & Sonali Agarwal. (2013). Clustering of lung cancer data using Foggy K-means. 13–18. 23 indexed citations
20.
Mohan, Ravi Prakash Sasankoti, et al.. (2010). Hemifacial microsomia: a clinicoradiological report of three cases. Journal of Oral Science. 52(2). 319–324. 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026