Satya Verma

435 total citations
30 papers, 292 citations indexed

About

Satya Verma is a scholar working on Cardiology and Cardiovascular Medicine, Management Science and Operations Research and Electrical and Electronic Engineering. According to data from OpenAlex, Satya Verma has authored 30 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cardiology and Cardiovascular Medicine, 6 papers in Management Science and Operations Research and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Satya Verma's work include Stock Market Forecasting Methods (5 papers), Blood Pressure and Hypertension Studies (5 papers) and Cardiac electrophysiology and arrhythmias (5 papers). Satya Verma is often cited by papers focused on Stock Market Forecasting Methods (5 papers), Blood Pressure and Hypertension Studies (5 papers) and Cardiac electrophysiology and arrhythmias (5 papers). Satya Verma collaborates with scholars based in India, United Kingdom and Israel. Satya Verma's co-authors include Bernard Silke, Stanley H. Taylor, G. Nelson, Tirath Prasad Sahu, Satya Prakash Sahu, G Reynolds, Anne Richmond, Satya Prakash Sahu, Rajeev Ahuja and Duncan R. Forsyth and has published in prestigious journals such as The American Journal of Cardiology, American Heart Journal and Clinical Pharmacology & Therapeutics.

In The Last Decade

Satya Verma

28 papers receiving 268 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Satya Verma India 11 123 43 41 31 30 30 292
John Zaki Egypt 10 96 0.8× 116 2.7× 24 0.6× 10 0.3× 7 0.2× 31 388
António Ferreira Portugal 10 231 1.9× 71 1.7× 34 0.8× 10 0.3× 14 0.5× 19 344
Felix Breitenecker Austria 10 69 0.6× 39 0.9× 11 0.3× 50 1.6× 14 0.5× 87 335
Wim Vandenberghe Belgium 13 81 0.7× 55 1.3× 89 2.2× 5 0.2× 3 0.1× 44 426
Michael Taylor United States 7 177 1.4× 26 0.6× 22 0.5× 6 0.2× 98 3.3× 9 346
Ernest W. Lau United Kingdom 12 379 3.1× 63 1.5× 20 0.5× 3 0.1× 12 0.4× 59 490
José Antonio Reboso Spain 10 41 0.3× 118 2.7× 21 0.5× 7 0.2× 25 0.8× 23 319
Phuong Dinh Ngo Norway 10 20 0.2× 31 0.7× 25 0.6× 15 0.5× 39 1.3× 20 386
Gaurav Patel India 8 123 1.0× 86 2.0× 9 0.2× 3 0.1× 22 0.7× 36 325
Chengyuan Liu United Kingdom 7 76 0.6× 85 2.0× 19 0.5× 3 0.1× 12 0.4× 8 478

Countries citing papers authored by Satya Verma

Since Specialization
Citations

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

Fields of papers citing papers by Satya Verma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Satya Verma

This figure shows the co-authorship network connecting the top 25 collaborators of Satya Verma. A scholar is included among the top collaborators of Satya Verma 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 Satya Verma. Satya Verma 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.
Verma, Satya, et al.. (2023). Numerical and experimental analysis of air-cooled Lithium-ion battery pack for the evaluation of the thermal performance enhancement. Journal of Energy Storage. 73. 108983–108983. 22 indexed citations
2.
Verma, Satya, Satya Prakash Sahu, & Tirath Prasad Sahu. (2023). Discrete Wavelet Transform-based feature engineering for stock market prediction. International Journal of Information Technology. 15(2). 1179–1188. 19 indexed citations
3.
Verma, Satya, Satya Prakash Sahu, & Tirath Prasad Sahu. (2023). Two-Stage Hybrid Feature Selection Approach Using Levy’s Flight Based Chicken Swarm Optimization for Stock Market Forecasting. Computational Economics. 63(6). 2193–2224. 9 indexed citations
4.
Verma, Satya, Satya Prakash Sahu, & Tirath Prasad Sahu. (2023). Portfolio management using Additive Ratio Assessment based stock selection and deep learning for prediction. International Journal of Information Technology. 15(8). 4055–4062. 5 indexed citations
5.
Verma, Satya, Satya Prakash Sahu, & Tirath Prasad Sahu. (2023). Stock Market Forecasting Using Hyperparameter-Tuned Ensemble Model. 267–271. 5 indexed citations
6.
Verma, Satya, Satya Prakash Sahu, & Tirath Prasad Sahu. (2023). MCSO: Levy’s Flight Guided Modified Chicken Swarm Optimization. IETE Journal of Research. 70(4). 3780–3794. 2 indexed citations
7.
Jain, Aayush, et al.. (2021). COVID19 Prediction using Time Series Analysis. 1599–1606. 17 indexed citations
8.
Verma, Satya. (2020). Lifestyle changes due to COVID-19 & it’s impact on health during lockdown. International Journal of Indian Psychology. 1 indexed citations
9.
Dwivedi, Ankur, et al.. (2018). Performance of heated pin fin arrangement in a rectangular cavity-An experimental approach. Journal of Mechanical Science and Technology. 32(4). 1897–1903. 3 indexed citations
10.
Verma, Satya, et al.. (2017). A Survey on Software Component Restructuring. International Journal for Advance Research and Development. 2(5).
11.
Singh, Ram B., Raheena Beegom, Satya Verma, et al.. (2000). Association of dietary factors and other coronary risk factors with social class in women in five Indian cities. Asia Pacific Journal of Clinical Nutrition. 9(4). 298–302. 16 indexed citations
12.
Verma, Satya, Bernard Silke, G Reynolds, Anne Richmond, & Stanley H. Taylor. (1992). Modulation of Inotropic Therapy by Venodilation in Acute Heart Failure. Journal of Cardiovascular Pharmacology. 19(1). 24–33. 5 indexed citations
13.
Silke, Bernard, et al.. (1989). Effects of nicorandil on left ventricular hemodynamics and volume at rest and during exercise-induced angina pectoris. The American Journal of Cardiology. 63(21). J49–J55. 10 indexed citations
14.
Silke, Bernard, A.V. Zezulka, Satya Verma, & S. H. Taylor. (1989). Hemodynamic assessment of nicardipine alone and with atenolol in coronary artery disease using a modified echo-doppler device. The American Journal of Cardiology. 64(15). H28–H34. 6 indexed citations
15.
Verma, Satya, Bernard Silke, G. Nelson, et al.. (1987). First-Line Treatment of Left Ventricular Failure Complicating Acute Myocardial Infarction. Journal of Cardiovascular Pharmacology. 10(1). 38–46. 33 indexed citations
16.
Taylor, Stanley H., Satya Verma, G Reynolds, et al.. (1985). Intravenous amrinone in left ventricular failure complicated by acute myocardial infarction. The American Journal of Cardiology. 56(3). B29–B32. 23 indexed citations
17.
Silke, Bernard, et al.. (1985). Circulatory effects of intravenous and oral acebutolol in acute myocardial infarction. Clinical Pharmacology & Therapeutics. 38(3). 266–272. 4 indexed citations
18.
Verma, Satya, et al.. (1985). Haemodynamic Dose–Response Effects of Intravenous Amrinone in Left Ventricular Failure Complicating Acute Myocardial Infarction. Journal of Cardiovascular Pharmacology. 7(6). 1101–1106. 9 indexed citations
19.
20.
Verma, Satya, et al.. (1980). In-service continuing education in new born care.. PubMed. 17(8). 677–82. 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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