Divakar Singh

425 total citations
52 papers, 260 citations indexed

About

Divakar Singh is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Divakar Singh has authored 52 papers receiving a total of 260 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 23 papers in Information Systems and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Divakar Singh's work include Data Mining Algorithms and Applications (13 papers), Imbalanced Data Classification Techniques (8 papers) and Spam and Phishing Detection (4 papers). Divakar Singh is often cited by papers focused on Data Mining Algorithms and Applications (13 papers), Imbalanced Data Classification Techniques (8 papers) and Spam and Phishing Detection (4 papers). Divakar Singh collaborates with scholars based in India, Rwanda and Serbia. Divakar Singh's co-authors include Kamal Upreti, Manvendra Verma, G. A. Ravishankar, Mayank Jain, Pooja Sharma, Saurabh Verma, Vinod Patidar, Abhishek Singh, Pravin Kumar Singh and Paruchuri G. Rao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scandinavian Journal of Clinical and Laboratory Investigation and European Food Research and Technology.

In The Last Decade

Divakar Singh

43 papers receiving 227 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Divakar Singh India 10 94 75 41 40 25 52 260
Khaled Badran Egypt 10 175 1.9× 44 0.6× 20 0.5× 24 0.6× 22 0.9× 29 301
Rashed Mustafa Bangladesh 9 95 1.0× 46 0.6× 65 1.6× 5 0.1× 27 1.1× 24 298
Jiaying Wang China 10 59 0.6× 33 0.4× 45 1.1× 20 0.5× 12 0.5× 39 240
M. Fatih Adak Türkiye 10 58 0.6× 40 0.5× 19 0.5× 9 0.2× 9 0.4× 37 288
Zhaoyang Yu China 10 93 1.0× 72 1.0× 25 0.6× 22 0.6× 23 0.9× 28 248
Moch Arief Soeleman Indonesia 8 83 0.9× 50 0.7× 23 0.6× 6 0.1× 89 3.6× 87 252
Qinghua Liu China 9 101 1.1× 19 0.3× 12 0.3× 14 0.3× 28 1.1× 22 214
Andrea Gasparetto Italy 9 136 1.4× 51 0.7× 57 1.4× 5 0.1× 47 1.9× 18 320
Deepshikha Agarwal India 8 31 0.3× 63 0.8× 25 0.6× 13 0.3× 15 0.6× 22 237
Hamoud Alshammari Saudi Arabia 11 98 1.0× 48 0.6× 111 2.7× 5 0.1× 46 1.8× 27 392

Countries citing papers authored by Divakar Singh

Since Specialization
Citations

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

Fields of papers citing papers by Divakar Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Divakar Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Divakar Singh. A scholar is included among the top collaborators of Divakar Singh 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 Divakar Singh. Divakar Singh 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.
Upreti, Kamal, et al.. (2025). Enhanced Pneumonia Detection from Chest X-rays Using Machine Learning and Deep Neural Architectures. ARO-The Scientific Journal of Koya University. 13(1). 227–236.
2.
Dabla, Pradeep Kumar, et al.. (2024). Discovering hidden patterns: Association rules for cardiovascular diseases in type 2 diabetes mellitus. World Journal of Methodology. 14(2).
3.
Singh, Divakar, et al.. (2024). Redesigning of Signals and Systems Course to Emphasize Problem/Project Based and Experiential Learning. Journal of Engineering Education/Journal of engineering education transformations/Journal of engineering education transformation. 37(IS2). 530–536. 1 indexed citations
4.
Singh, Divakar, et al.. (2024). Optical and Glass Stability Parameters of Ge–Te–Se–Sb Chalcogenide Glasses for Optical Data Storage. Russian Journal of Inorganic Chemistry. 69(5). 698–713. 3 indexed citations
5.
Harish, B.S., et al.. (2023). Profitability and Yield Prediction on Agricultural Crops of India. International Journal of Research Publication and Reviews. 4(4). 4506–4514. 1 indexed citations
6.
Upreti, Kamal, et al.. (2023). Discovering patterns of live birth occurrence before in vitro fertilisation treatment using association rule mining. International Journal of Electronic Healthcare. 13(4). 275–294.
7.
Singh, Divakar, et al.. (2023). Survey Paper on Agricultural Dataset for Improving Crop Yield Prediction using Machine Learning Algorithms. International Journal of Computer Applications. 184(46). 28–34.
8.
Upreti, Kamal, et al.. (2022). Prediction of Mechanical Strength by Using an Artificial Neural Network and Random Forest Algorithm. Journal of Nanomaterials. 2022(1). 52 indexed citations
9.
Singh, Divakar, Kamal Upreti, Manish Maheshwari, et al.. (2022). Discovering Patterns of Cardiovascular Disease and Diabetes in Myocardial Infarction Patients Using Association Rule Mining. SHILAP Revista de lepidopterología. 58(3). 242–250. 1 indexed citations
10.
Singh, Divakar, et al.. (2022). An image forensic technique based on JPEG ghosts. Multimedia Tools and Applications. 82(9). 14153–14169. 2 indexed citations
11.
Jain, Mayank & Divakar Singh. (2016). A Survey on CBIR on the Basis of Different Feature Descriptor. British Journal of Mathematics & Computer Science. 14(6). 1–13. 10 indexed citations
12.
Singh, Divakar, et al.. (2016). Secure Sum based Privacy Preservation Association Rule Mining on Horizontally Partitioned Data. International Journal of Computer Applications. 134(14). 10–14. 1 indexed citations
13.
Singh, Divakar, et al.. (2016). A Survey and Analysis of Various Agricultural Crops Classification Techniques. International Journal of Computer Applications. 136(11). 25–30. 3 indexed citations
14.
Singh, Divakar, et al.. (2013). The Improved K-Means with Particle Swarm Optimization. Journals & Books Hosting (International Knowledge Sharing Platform). 3(11). 1–7. 5 indexed citations
15.
Singh, Divakar, et al.. (2013). A Survey on Hash based A-priori Algorithm for Web Log Analysis. International Journal of Computer Applications. 76(13). 47–50. 1 indexed citations
16.
Singh, Divakar, et al.. (2013). A Time Efficient Algorithm for Web Log Analysis. International Journal of Computer Applications. 75(9). 23–30. 2 indexed citations
17.
Jain, Deepti & Divakar Singh. (2013). A Review on associative classification for Diabetic Datasets A Simulation Approach. INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY. 7(1). 533–538.
18.
Singh, Divakar, et al.. (2013). An Approach for Document Clustering using Agglomerative Clustering and Hebbian-type Neural Network. International Journal of Computer Applications. 75(9). 17–22. 2 indexed citations
19.
Singh, Divakar, et al.. (2007). Data mining: as an imperative tool for discovering knowledge. Computational intelligence. 375–378. 1 indexed citations
20.
Ravishankar, G. A., et al.. (1999). Bioinsecticide from swallowroot (Decalepis hamiltonii) Wight & Arn protects food grains against insect infestation.. Current Science. 77(4). 501–502. 24 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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