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The purpose of this paper is to reveal the bibliometric characteristics of highly cited articles in Malaria research for the period of 1991-2015.

The data of highly cited articles for the period of 1991 to 2015 were extracted from the Science Citation Index Expended of Web of Science. The keyword “Malaria” was used as topic term to search documents that contained this word in the title or keyword or abstract of the documents that published in 1991 to 2015. A total of 1,614 articles having TC₂₀₁₅ = 100 were retrieved as highly cited articles for further analysis, and Microsoft excel was used for the analysis purpose.

A total of 1,614 of highly cited articles were published in the 230 journals for the period of 1991 to 2015, and majority of the articles were appeared in journals that have top impact factor. The articles published in the 2011s have greater average citations and authors per article. Six journals have produced almost a quarter of highly cited articles and remaining articles were published in 224 journals. Proceedings of the National Academy of Sciences of the USA was the most productive journal with 154 articles, which accounts for 9.53 per cent of the total articles, followed by Lancet (110; 6.81 per cent). We found degree collaboration value of 0.971 for the articles, which indicates the clear dominance of multiple authors in publication of highly cited articles in Malaria research. In this study, new indictor called P index was applied for the evaluation of the author’s productivity. As per the p-value, the White, NJ has emerged as the most productive author with the p-value of 0.41 (61 articles), followed by Marsh, K (p = 0.33), Nosten, F (p = 0.32) and Snow, RW (p = 0.31). The USA and the UK were the most productive countries. The article entitled as “Global and regional burden of disease and risk factors, 2001: systematic analysis of population health data” contributed by Lopez et al. (2006) was the most cited article with 2,245 citations in 2015.

The data for the present study was limited to the publications that indexed in Science Citation index Expended of Web of Science.

This paper would be useful to the researchers to know the trends and achievements in the Malaria research and also to the library and information science professionals in collection building process.

Occupational stress is damaging to employee well-being, causes serious illnesses and costs organizations billions of dollars every year. Mutual gains model of human resource management (HRM) recommends that HRM practices should improve both employee well-being and performance. Offshore business processing organizations (BPO) are renowned to have intense wok environment. The study aimed to deploy mutual gains models in BPO to determine if positive perceptions of HRM practices (or benevolent HRM attributions) can help employees manage their stress better and improve their task performance (TP) and contextual performance (CP). Furthermore, work gratitude (WG) was examined to see if it acted as an intermediary in the relationship between benevolent HRM attributions, employee stress management (SM), TP and CP.

Primary data of 368 respondents were collected from the employees working in BPO. Structural equation modeling technique was deployed for the testing of causal relationships among constructs. AMOS 24.0 was used for the estimation of theoretical model.

Empirical outcomes affirmed strongly knitted theoretical associations among the constructs.

This study contributes to literature by proposing a framework which shows how HRM attributions can enhance employee's TP, CP and improve employee SM through the mediating influence of WG.

The use of citation analysis to identify the first 100 articles on malaria offers unique insights into understanding the disease and subsequent follow-up treatment innovations over time. In this study, the 100 most-cited articles on malaria were analyzed, and key studies were highlighted.

The data of the most-cited articles for the period of four decades were extracted from the Web of Science database. The search terms malaria, plasmodium infection and remittent fever were used to identify the related articles for the study.

The preliminary data of the 100 most-cited articles were recorded and analyzed. The total number of retrieved articles was 55,517. Dondrop and colleagues wrote the most-cited articles focusing on a new treatment for falciparum malaria resistant to existing medications. The author, with the most publications, was N. J. White. The most-cited articles on malaria were published in 35 journals. The USA had published most of the influential articles, while the Mahidol Oxford Tropical Medicine Research Unit was the leading institute active in malaria research. The experimental method was the most frequent method used by the most-cited articles. There was a significant relationship between the number of authors, the presence of the corresponding author on Research Gate, the availability of the full text of the article on Research Gate, the impact factor of the journal in which the article was published and the international collaboration of authors and the number of citations on malaria. The most influential authors, countries, institutes, journals and articles were specified. Most of the notable articles on malaria were published in journals with high impact factors. A group of journals was introduced as the core journals.

It was found that having co-authors, the presence of the corresponding author on Research Gate, the availability of the full text of the article on Research Gate, the impact factor of the journal in which the article was published and international collaboration contributed to the publication of high-quality scientific products. Updated information on malaria is needed to present and expand the screening strategies to improve health and reduce burden of malaria.

Introduction: Interest and action concerning fiscal accountability have surged around the world in recent years, especially among Sub-Saharan African countries, because decision-making in the region has traditionally been shrouded in secrecy, with the general public having almost no access to knowledge on the management of public funds. Limited fiscal transparency has led to government fiscal crises where citizens have begun to call for better governance and participation in public funds.

Purpose: This study examines the impact of e-governance on the overall fiscal performance in SSA, while the specific objectives include the effect of e-governance on the central government’s primary balance and public external debt stock.

Methodology: The study employs annual data across 43 SSA countries to analyse the study from 2000 to 2018 using the panel-corrected standard error (PCSE) method for estimating the models. Overall fiscal performance is generated through principal component analysis (PCA), which involves a linear combination of public external debt stock and central government primary balance.

Findings: The results reveal that there is clear evidence of the effectiveness of e-governance on the overall fiscal performance, even though this is not the same for the public external debt stock in SSA, despite the success recorded in the region’s ICT and telecommunication sectors in recent times. In addition, all other control variables impact fiscal performance except population growth.

The purpose of this paper is to analyze the organizational role stress (ORS) in employees of Allahabad Bank posted at Guwahati city serving at scale 1 and above up to the deputy general manager (DGM).

This study was carried out at different branches of Allahabad Bank located in the city of Guwahati, Assam. The respondents included assistant managers and DGM. The sampling technique used for data collection was non-probability sampling; the method used was convenience sampling. This study is exploratory as well as descriptive in nature. A questionnaire was distributed and collected personally by the researcher.

After an extensive literature review, it was the belief of the researchers that the employees of Allahabad Bank could be experiencing the effects of stress. On using the tools (mean, ANOVA, Correlation) on the dimensions of stress and demographic factors, the results were almost identical.

In the banking industry, every constituent of the occupational stress can be studied more thoroughly. More insight into the factors of stress can be brought into the spotlight through more research work. Academicians may shed light on new factors that are creating stress, but still remain unidentified.

This study can be extensively used in fields other than the banking industry such as hospitality, healthcare, insurance, etc. Stress gives rise to physical problems and health problems. It may also lead to psychological, behavioral and organizational problems. Stress adversely affects the productivity of the organization as employees experiencing stress may not perform up to their capability and according to the requirements of the organization. Awareness among people of stress and the reasons for its occurrence is a must to keep them healthy, happy and competitive.

This research is based on primary data collected from Udai Pareek’s ORS scale. The target sample was scale 1-5 employees of Allahabad Bank posted at Guwahati city. The literature review information and the work of other researchers are supported by due reference.

Co-creation and co-invention are two diverse spheres in modern-day supply chains. Despite literature suggesting the existence of similar coherence between these concepts, the availability of published theory favoring these ideal lacks justification. This research aims to investigate the correlation and convergence of these well-known concepts to support a combined impact on research.

Comprehensive review of published literature using mathematical and statistical tools to measure inherent interrelationships and publication impacts in literature handling co-creation and co-invention.

An exploratory quantitative and qualitative analysis reveals the conundrums existing in distribution, keyword and adoption of research in the global and scientific community. The research favors a positive correlation existing between concepts such as co-ordination, collaboration, open-innovation, value creation with supply chain management and its development with rising importance of big data and block-chain technologies. Analysis reveals knowledge development with increased user-based interaction, better utilization of resources and enhanced productivity to support the mutual adaptation of co-creation and co-invention.

Outcomes will be a beacon for researchers to develop models and frameworks. Results derived will aid in improving customer participation, enhance decision making in product development, augment value creation and knowledge and resource sharing leading toward innovation.

Results will provide a detailed outline of the development and implementation of concepts in both developed and developing countries. Outcomes will also serve as a framework for marketing heads, graphic designers, website designers, supplier management and customer management in the service industry, production supervisors and customer management personnel in manufacturing industries.

This study aims to improve the detection and quantification of cardiac issues, which are a leading cause of mortality globally. By leveraging past data and using knowledge mining strategies, this study seeks to develop a technique that could assess and predict the onset of cardiac sickness in real time. The use of a triple algorithm, combining particle swarm optimization (PSO), artificial bee colony (ABC) and support vector machine (SVM), is proposed to enhance the accuracy of predictions. The purpose is to contribute to the existing body of knowledge on cardiac disease prognosis and improve overall performance in health care.

This research uses a knowledge-mining strategy to enhance the detection and quantification of cardiac issues. Decision trees are used to form predictions of cardiovascular disorders, and these predictions are evaluated using training data and test results. The study has also introduced a novel triple algorithm that combines three different combination processes: PSO, ABC and SVM to process and merge the data. A neural network is then used to classify the data based on these three approaches. Real data on various aspects of cardiac disease are incorporated into the simulation.

The results of this study suggest that the proposed triple algorithm, using the combination of PSO, ABC and SVM, significantly improves the accuracy of predictions for cardiac disease. By processing and merging data using the triple algorithm, the neural network was able to effectively classify the data. The incorporation of real data on various aspects of cardiac disease in the simulation further enhanced the findings. This research contributes to the existing knowledge on cardiac disease prognosis and highlights the potential of leveraging past data for strategic forecasting in the health-care sector.

The originality of this research lies in the development of the triple algorithm, which combines multiple data mining strategies to improve prognosis accuracy for cardiac diseases. This approach differs from existing methods by using a combination of PSO, ABC, SVM, information gain, genetic algorithms and bacterial foraging optimization with the Gray Wolf Optimizer. The proposed technique offers a novel and valuable contribution to the field, enhancing the competitive position and overall performance of businesses in the health-care sector.