Namrata Singh

424 total citations
10 papers, 238 citations indexed

About

Namrata Singh is a scholar working on Health Information Management, Artificial Intelligence and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Namrata Singh has authored 10 papers receiving a total of 238 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Health Information Management, 6 papers in Artificial Intelligence and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Namrata Singh's work include Artificial Intelligence in Healthcare (6 papers), Imbalanced Data Classification Techniques (5 papers) and Machine Learning and Data Classification (2 papers). Namrata Singh is often cited by papers focused on Artificial Intelligence in Healthcare (6 papers), Imbalanced Data Classification Techniques (5 papers) and Machine Learning and Data Classification (2 papers). Namrata Singh collaborates with scholars based in India and United States. Namrata Singh's co-authors include Pradeep Singh, Ashraf Abugroun, Yubo Gao, Priyanka Iyer, Charles F. Lynch, Elizabeth H. Field, Mary Vaughan‐Sarrazin, Jeffrey R. Curtis, Vladana Milisavljevic and Nancy Halnon and has published in prestigious journals such as Expert Systems with Applications, Chemometrics and Intelligent Laboratory Systems and Journal of Intelligent & Fuzzy Systems.

In The Last Decade

Namrata Singh

10 papers receiving 224 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Namrata Singh India	6	133	104	38	27	24	10	238
Olof Mogren Sweden	9	185 1.4×	69 0.7×	30 0.8×	17 0.6×	19 0.8×	22	355
Nikos Fazakis Greece	9	191 1.4×	91 0.9×	29 0.8×	10 0.4×	33 1.4×	25	318
Aishwariya Dutta Bangladesh	4	105 0.8×	70 0.7×	38 1.0×	9 0.3×	11 0.5×	5	204
B. V. Ramana India	5	153 1.2×	136 1.3×	29 0.8×	13 0.5×	46 1.9×	15	259
M. S. Anbarasi India	8	174 1.3×	146 1.4×	21 0.6×	14 0.5×	77 3.2×	26	297
Ciril Grošelj Slovenia	6	192 1.4×	60 0.6×	20 0.5×	9 0.3×	40 1.7×	8	267
Saloni Kumari India	2	167 1.3×	167 1.6×	17 0.4×	10 0.4×	29 1.2×	5	289
Bader Fahad Alkhamees Saudi Arabia	9	129 1.0×	76 0.7×	22 0.6×	14 0.5×	34 1.4×	20	274
Cho-Tsan Bau Taiwan	6	108 0.8×	51 0.5×	11 0.3×	54 2.0×	51 2.1×	9	197
Dhafar Hamed Iraq	10	117 0.9×	30 0.3×	27 0.7×	11 0.4×	39 1.6×	30	233

Countries citing papers authored by Namrata Singh

Since Specialization

Citations

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

Fields of papers citing papers by Namrata Singh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Namrata Singh

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

All Works

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10 of 10 papers shown

Singh, Namrata & Pradeep Singh. (2021). Exploring the effect of normalization on medical data classification. 1–5. 7 indexed citations

Singh, Namrata & Pradeep Singh. (2021). A hybrid ensemble-filter wrapper feature selection approach for medical data classification. Chemometrics and Intelligent Laboratory Systems. 217. 104396–104396. 72 indexed citations

Iyer, Priyanka, Yubo Gao, Elizabeth H. Field, et al.. (2020). Trends in Hospitalization Rates, Major Causes of Hospitalization, and In‐Hospital Mortality in Rheumatoid Arthritis in the United States From 2000 to 2014. ACR Open Rheumatology. 2(12). 715–724. 4 indexed citations

Singh, Namrata & Pradeep Singh. (2019). A novel Bagged Naïve Bayes-Decision Tree approach for multi-class classification problems. Journal of Intelligent & Fuzzy Systems. 36(3). 2261–2271. 19 indexed citations

Singh, Namrata, et al.. (2019). A rule extraction approach from support vector machines for diagnosing hypertension among diabetics. Expert Systems with Applications. 130. 188–205. 42 indexed citations

Singh, Namrata & Pradeep Singh. (2019). Stacking-based multi-objective evolutionary ensemble framework for prediction of diabetes mellitus. Journal of Applied Biomedicine. 40(1). 1–22. 78 indexed citations

Singh, Namrata & Pradeep Singh. (2017). Rule Based Approach for prediction of Chronic Kidney Disease: A Comparative Study. Biomedical & Pharmacology Journal. 10(2). 867–874. 5 indexed citations

Singh, Pradeep & Namrata Singh. (2017). Intelligent approaches for prognosticating post-operative life expectancy in the lung cancer patients. 844–848. 3 indexed citations

Abugroun, Ashraf, et al.. (2017). Late Onset Chemo/Radiation Induced Tracheoesophageal Fistula in Squamous Cell Cancer of the Lung. World Journal of Oncology. 8(5). 171–173. 7 indexed citations

10.

Purdy, Isabell B., Nancy Halnon, Namrata Singh, & Vladana Milisavljevic. (2010). Vein of Galen arteriovenous malformation with PAPVR and use of serial B-type natriuretic peptide levels in the management: a case report and review of the literature. Cases Journal. 3(1). 43–43. 1 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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