Krishnananda Nayak

595 total citations
48 papers, 340 citations indexed

About

Krishnananda Nayak is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Epidemiology. According to data from OpenAlex, Krishnananda Nayak has authored 48 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Cardiology and Cardiovascular Medicine, 16 papers in Surgery and 15 papers in Epidemiology. Recurrent topics in Krishnananda Nayak's work include Cardiovascular Function and Risk Factors (13 papers), Congenital Heart Disease Studies (12 papers) and Cardiac Valve Diseases and Treatments (6 papers). Krishnananda Nayak is often cited by papers focused on Cardiovascular Function and Risk Factors (13 papers), Congenital Heart Disease Studies (12 papers) and Cardiac Valve Diseases and Treatments (6 papers). Krishnananda Nayak collaborates with scholars based in India, United States and Singapore. Krishnananda Nayak's co-authors include Ranjan Shetty, Jyothi Samanth, U. Raghavendra, Anjan Gudigar, U. Rajendra Acharya, Padmakumar Ramachandran, Pratap Kumar, Hamido Fujita, Arun G. Maiya and Edward J. Ciaccio and has published in prestigious journals such as SHILAP Revista de lepidopterología, Pattern Recognition Letters and International Journal of Sports Medicine.

In The Last Decade

Krishnananda Nayak

40 papers receiving 330 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Krishnananda Nayak India 10 165 116 87 72 66 48 340
José Juan Gómez de Diego Spain 13 399 2.4× 146 1.3× 110 1.3× 208 2.9× 118 1.8× 71 558
Bonow Ro United States 7 321 1.9× 118 1.0× 84 1.0× 62 0.9× 81 1.2× 32 472
Maria Dudziak Poland 11 242 1.5× 105 0.9× 72 0.8× 53 0.7× 58 0.9× 55 434
T Honda Japan 9 161 1.0× 34 0.3× 92 1.1× 63 0.9× 96 1.5× 32 311
Ömer Yıldız Türkiye 11 74 0.4× 101 0.9× 72 0.8× 70 1.0× 26 0.4× 39 302
Steve Garratt United Kingdom 6 300 1.8× 33 0.3× 37 0.4× 129 1.8× 238 3.6× 6 632
Xuhua Chen China 14 288 1.7× 85 0.7× 40 0.5× 23 0.3× 32 0.5× 54 443
Jean A. Salomon France 8 208 1.3× 37 0.3× 110 1.3× 30 0.4× 47 0.7× 14 332
Paolo Ferrero Italy 14 482 2.9× 145 1.3× 82 0.9× 129 1.8× 41 0.6× 61 668
Aurauma Chutinet Thailand 12 128 0.8× 26 0.2× 122 1.4× 210 2.9× 62 0.9× 44 466

Countries citing papers authored by Krishnananda Nayak

Since Specialization
Citations

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

Fields of papers citing papers by Krishnananda Nayak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Krishnananda Nayak

This figure shows the co-authorship network connecting the top 25 collaborators of Krishnananda Nayak. A scholar is included among the top collaborators of Krishnananda Nayak 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 Krishnananda Nayak. Krishnananda Nayak 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.
Maiya, Arun G., Padmakumar Ramachandran, Mukund A. Prabhu, et al.. (2025). Prediction of cardiac autonomic dysfunction using heart rate response to deep breathing test among type 2 diabetes mellitus. BMC Endocrine Disorders. 25(1). 117–117. 1 indexed citations
2.
3.
Lewis, Leslie, et al.. (2025). Myocardial Structural and Functional Assessment in Fetal Growth Restriction Infants—A Cohort Study. The Indian Journal of Pediatrics. 92(11). 1213–1215.
4.
Nayak, Krishnananda, et al.. (2024). RetinaGuard: An Optimal CNN Solution for Diabetic Retinopathy. 1–7. 1 indexed citations
5.
Nayak, Krishnananda, et al.. (2024). Subclinical myocardial dysfunction among fetal growth restriction neonates: a case-control study. The Journal of Maternal-Fetal & Neonatal Medicine. 37(1). 2392783–2392783. 4 indexed citations
6.
Nayak, Krishnananda, et al.. (2024). Myocardial performance imaging for the early identification of cardiac dysfunction in neonates with sepsis. The International Journal of Cardiovascular Imaging. 40(7). 1435–1444.
7.
Gudigar, Anjan, U. Raghavendra, Krishnananda Nayak, et al.. (2022). Novel Hypertrophic Cardiomyopathy Diagnosis Index Using Deep Features and Local Directional Pattern Techniques. Journal of Imaging. 8(4). 102–102. 9 indexed citations
8.
Rao, Indu Ramachandra, Jyothi Samanth, Krishnananda Nayak, et al.. (2022). A comparative analysis of conventional and speckle-tracking strain echocardiographic findings in diabetic and non-diabetic kidney disease patients with normal ejection fraction. The International Journal of Cardiovascular Imaging. 39(1). 3–11. 2 indexed citations
9.
Gudigar, Anjan, U. Raghavendra, Krishnananda Nayak, et al.. (2022). Role of Four-Chamber Heart Ultrasound Images in Automatic Assessment of Fetal Heart: A Systematic Understanding. Informatics. 9(2). 34–34. 9 indexed citations
10.
Nayak, Krishnananda, et al.. (2022). Ventricular strain patterns in multivalvular heart disease: a cross-sectional study. The International Journal of Cardiovascular Imaging. 39(2). 331–338. 1 indexed citations
11.
Prabhu, Mukund A., et al.. (2022). A Novel TPM1 Mutation Causes Familial Hypertrophic Cardiomyopathy in an Indian Family: Genetic and Clinical Correlation. Indian Journal of Clinical Biochemistry. 39(1). 142–145.
12.
Nayak, Krishnananda, et al.. (2022). Cardiovascular complications and predictors of mortality in hospitalized patients with COVID-19: a cross-sectional study from the Indian subcontinent. Tropical Medicine and Health. 50(1). 55–55. 8 indexed citations
13.
14.
Nayak, Krishnananda, et al.. (2020). Double interatrial septum with persistent interatrial chamber: A rare but clinically significant anomaly. Echocardiography. 37(10). 1694–1697. 1 indexed citations
15.
16.
Babu, Abraham Samuel, Padmakumar Ramachandran, Krishnananda Nayak, et al.. (2019). Effects of home-based exercise training on functional outcomes and quality of life in patients with pulmonary hypertension: A randomized clinical trial. Indian Heart Journal. 71(2). 161–165. 29 indexed citations
17.
Nayak, Krishnananda, et al.. (2018). An unusual case of abdominal aneurysm: Inferior vena cava aneurysm — A case report. Journal of Cardiology Cases. 19(2). 41–46. 1 indexed citations
18.
Maiya, Arun G., et al.. (2018). Effect of aerobic exercise on echocardiographic epicardial adipose tissue thickness in overweight individuals. Diabetes Metabolic Syndrome and Obesity. Volume 11. 303–312. 25 indexed citations
19.
Devasia, Tom, et al.. (2014). Unexplained extensive calcification of the venae cavae extending into the right atrium causing partial obstruction of the tricuspid valve. BMJ Case Reports. 2014. bcr2014204070–bcr2014204070. 4 indexed citations
20.
Shetty, Ranjan, et al.. (2013). Late presentation of TAPVC with multiple cerebral abscesses. BMJ Case Reports. 2013. bcr2013009778–bcr2013009778. 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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