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09 November 2023 | Story André Damons | Photo SUPPLIED
Prof Atangana
Prof Abdon Atangana, a professor of Applied Mathematics at the University of the Free State (UFS), is the highest-ranked UFS scientist included in Stanford University’s World’s Top 2% Scientists list.

A professor of Applied Mathematics at the University of the Free State (UFS) is again the highest-ranked scientist from the institution included in Stanford University’s annual ranking of the top 2% of scientists in the world. 

Prof Abdon Atangana from the UFS’s Institute for Groundwater is ranked number one in applied mathematics, mathematical physics, mathematics, and statistics in the world, and number 260 in all of science, technology, and engineering in the Stanford University World’s Top 2% Scientists list. He is also ranked highest (5 620) of all the UFS scientists included in the career-long data set. 

‘Africans in Africa can impact the world’

“The ranking provides us with the impact of our outputs, and it shows that Africans can contribute to the development of science, technology, engineering, and mathematics while still in Africa,” Prof Atangana said. “This also shows that Africans in Africa can have impact on the world. My motivation is to tell the next generation that Africans do not always need to graduate from the top universities of the global North to make a global impact.  

“We must work hard to make our African universities reach the same level of those from the global North, such that a student from the global North will wish to enroll in our universities. The development of our continent does not rest on sport, music, and so forth alone, but on science, technology, engineering, and mathematics. Having the best scientists, mathematicians, and engineers in the world in Africa should be the strive of all Africans.” 

Three of the UFS’s SARChI Research Chairs have also been included in this list: Prof Hendrik Swart, Chair: Solid-state Luminescent and Advanced Materials (Applied Physics, ranked 40 269 in the single-year dataset); Prof Melanie Walker, Chair: Higher Education and Human Development (ranked 68 337); and Prof Maryke Labuschagne, Chair: Disease Resistance and Quality in Field Crops (Plant Sciences, 165 780).  

Other UFS scientists included in the single-year data set are: Prof John M. Carranza (Geology, 4 837); Prof Muhammad Altaf Khan ( Applied Mathematics, 6 366); Prof Maxim Finkelstein (Statistics/ Mathematical Statistics, 63 394); Prof Marianne Reid (School of Nursing, 72 861); Prof John Owen (Centre for Development Support, 103 368); Prof Brownhilder Neneh (Department of Business Management, 73 635); Prof Jorma Hölsä (Research Fellow: Department of Physics, 88 833); Prof Johann Beukes (Philosophy & Classics, 6 547 764); Rian Venter, (829 709); Dr Yuri Marusik (Zoology and Entomology, 553 619); Prof Robert Schall (Department of Mathematical Statistics and Actuarial Science, 276 681); Prof Deborah Posel (Department of Sociology, 275 535); Dr Vijay Kumar (Physics, 274 541); Dr Abhay Prakash Mishra (Pharmacology, 229 625); Prof RE Kroon (Physics, 226 554); Dr Krishnan Anand (Chemical Pathology, 235 300); Prof Andrew Marston (Chemistry, 147 147); Dr Seda Igret Araz (Applied Mathematics,125 824); Prof Jeanet Conradie (Chemistry, 106 521); Prof Louis Scott (Plant Sciences, 73 874); Prof Johan Grobbelaar (Plant Sciences, 97 722); Prof David Motaung (Physics, 53 553); Dr Samuel Nambile Cumber (Health Systems Research and Development, 555 563). 

Career-long data set 

The Stanford University rankings also include a list of the top 2% of world-class researchers based on citations over their full careers. Scientists are classified into 22 scientific fields and 174 sub-fields. Field- and subfield-specific percentiles are also provided for all scientists with at least five published papers. Career-long data is updated to the end of 2021, and single recent-year data pertain to citations received during calendar year 2021. The selection is based on the top 100 000 scientists by C-score (with and without self-citations) or a percentile rank of 2% or above in the sub-field.

The career-long data set includes the names of:

Prof Carranza (17 466); Prof Scott (55 882); Prof Reid (57 173); Prof Hölsä (64 402); Prof Grobbelaar (71 094); Prof Walker (78 239); Prof Andrew Marston (Chemistry, 84 484); Prof Schall (90 268); HA Snyman (Animal, Wildlife and Grassland Sciences, 96 374); Prof Swart (103 895); Robert WM Frater Cardiovascular Research Centre (111 896); Prof Frederick Kruger (Centre for Environmental Management,117 971); Prof Finkelstein (124 118); Prof Johan Visser (Geology, 125 331); Prof James C du Preez (Biotechnology, 168 841); Prof Posel (172 295); Prof Conradie (178 157); Prof Michael D MacNeil (Dairy and Animal Science, 184 193); Prof Khan (201 101); Prof Owen (262 897). 

“The representation of our researchers from a variety of disciplinary domains in this prestigious ranking, is confirmation of their excellence, impact, and the global esteem they hold. UFS is proud to be a home to scholars in our midst who take us incrementally forward as an institution because of their cutting-edge research,” said Prof Vasu Reddy, UFS Deputy Vice-Chancellor: Research and Internationalisation. 

  • Prof Atangana has also been shortlisted as one of the finalists for the prestigious Alkebulan Immigrants Impact Awards (AIIA) 2023, in the South African Flag Carrier category. Voting started on 1 November, and the award ceremony is set to take place on 23 November in Johannesburg. 

News Archive

Inaugural lecture: Prof. Phillipe Burger
2007-11-26

 

Attending the lecture were, from the left: Prof. Tienie Crous (Dean of the Faculty of Economic and Management Sciences at the UFS), Prof. Phillipe Burger (Departmental Chairperson of the Department of Economics at the UFS), and Prof. Frederick Fourie (Rector and Vice-Chancellor of the UFS).
Photo: Stephen Collet

 
A summary of an inaugural lecture presented by Prof. Phillipe Burger on the topic: “The ups and downs of the South African Economy: Rough seas or smooth sailing?”

South African business cycle shows reduction in volatility

Better monetary policy and improvements in the financial sector that place less liquidity constraints on individuals is one of the main reasons for the reduction in the volatility of the South African economy. The improvement in access to the financial sector also enables individuals to manage their debt better.

These are some of the findings in an analysis on the volatility of the South African business cycle done by Prof. Philippe Burger, Departmental Chairperson of the University of the Free State’s (UFS) Department of Economics.

Prof. Burger delivered his inaugural lecture last night (22 November 2007) on the Main Campus in Bloemfontein on the topic “The ups and downs of the South African Economy: Rough seas or smooth sailing?”

In his lecture, Prof. Burger emphasised a few key aspects of the South African business cycle and indicated how it changed during the periods 1960-1976, 1976-1994 en 1994-2006.

With the Gross Domestic Product (GDP) as an indicator of the business cycle, the analysis identified the variables that showed the highest correlation with the GDP. During the periods 1976-1994 and 1994-2006, these included durable consumption, manufacturing investment, private sector investment, as well as investment in machinery and non-residential buildings. Other variables that also show a high correlation with the GDP are imports, non-durable consumption, investment in the financial services sector, investment by general government, as well as investment in residential buildings.

Prof. Burger’s analysis also shows that changes in durable consumption, investment in the manufacturing sector, investment in the private sector, as well as investment in non-residential buildings preceded changes in the GDP. If changes in a variable such as durable consumption precede changes in the GDP, it is an indication that durable consumption is one of the drivers of the business cycle. The up or down swing of durable consumption may, in other words, just as well contribute to an up or down swing in the business cycle.

A surprising finding of the analysis is the particularly strong role durable consumption has played in the business cycle since 1994. This finding is especially surprising due to the fact that durable consumption only constitutes about 12% of the total household consumption.

A further surprising finding is the particularly small role exports have been playing since 1960 as a driver of the business cycle. In South Africa it is still generally accepted that exports are one of the most important drivers of the business cycle. It is generally accepted that, should the business cycles of South Africa’s most important trade partners show an upward phase; these partners will purchase more from South Africa. This increase in exports will contribute to the South African economy moving upward. Prof. Burger’s analyses shows, however, that exports have generally never fulfil this role.

Over and above the identification of the drivers of the South African business cycle, Prof. Burger’s analysis also investigated the volatility of the business cycle.

When the periods 1976-1994 and 1994-2006 are compared, the analysis shows that the volatility of the business cycle has reduced since 1994 with more than half. The reduction in volatility can be traced to the reduction in the volatility of household consumption (especially durables and services), as well as a reduction in the volatility of investment in machinery, non-residential buildings and transport equipment. The last three coincide with the general reduction in the volatility of investment in the manufacturing sector. Investment in sectors such as electricity and transport (not to be confused with investment in transport equipment by various sectors) which are strongly dominated by the government, did not contribute to the decrease in volatility.

In his analysis, Prof. Burger supplies reasons for the reduction in volatility. One of the explanations is the reduction in the shocks affecting the economy – especially in the South African context. Another explanation is the application of an improved monetary policy by the South African Reserve Bank since the mid 1990’s. A third explanation is the better access to liquidity and credit since the mid 1990’s, which enables the better management of household finance and the absorption of financial shocks.

A further reason which contributed to the reduction in volatility in countries such as the United States of America’s business cycle is better inventory management. While the volatility of inventory in South Africa has also reduced there is, according to Prof. Burger, little proof that better inventory management contributed to the reduction in volatility of the GDP.

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