Four Esade researchers among the World’s Top 2% in 2022

Esade professors Cristina Giménez Thomsen, Tobias Hahn, Uri Simonsohn, and Frank Wiengarten among world’s most cited scientists.

Do Better Team

Stanford University, for the sixth consecutive year, has published a list of the top two percent of the world’s most-cited scientists in 22 fields. Four Esade researchers are on the list for 2022: Uri Simonsohn in the career-long category; and Cristina Giménez Thomsen, Tobias Hahn, and Frank Wiengarten and in the single-year citations.  

Cristina Giménez Thomsen 

Cristina Giménez Thomsen is director of Mission and Impact at Esade and professor of Operations and Supply Chain Management. She holds a PhD in business administration from Universitat de Barcelona and a MSc in Logistics and Supply Chain Management from Cranfield University.

Her research focuses on sustainable operations and the extension of sustainability along the supply chain. On these subjects she has published over 40 articles in specialized journals and presented papers at national and international conferences. She serves in several editorial boards and is the President of the European Operations Management Association (EurOMA).

Tobias Hahn  

Tobias Hahn is a professor at the Department of Society, Politics and Sustainability and a member of the Institute for Social Innovation. He holds a PhD in Economic and Social Ssiences and a master's in Environmental Science from the Leuphana University Lüneburg. Tobias is deputy editor of Organization & Environment and associate editor of Business & Society. He also sits on the editorial boards of several journals.  

His main areas of expertise are in corporate sustainability and organizational paradox. His main research areas are tensions and paradoxes in corporate sustainability and CSR, sustainability performance assessment, corporate sustainability strategies, and stakeholder behavior. 

Uri Simonsohn 

Uri Simonsohn is a professor at the Esade Department of Operations, Innovation and Data Sciences. He obtained his undergraduate degree in Economics from the Universidad Católica de Chile and his PhD at the Social and Decision Sciences department at Carnegie Mellon University.  

Professor Simonsohn has two main research streams: one focuses on how people think and make judgments and decisions, while the other focuses on methodologies and how research is done. He has published in economics, psychology, and business journals. He has also co-created the pre-registration website AsPredicted.org, and co-hosts the DataColada.org blog. He teaches courses on how to motivate behavioral change and improve our intuitive (and not-so-intuitive) understanding of data.  

Frank Wiengarten  

Frank Wiengarten is the vice dean of Research and a professor at the Department of Operations, Innovation and Data Sciences. He holds a diploma in Business and Management from Paderborn University and a PhD on the performance impact of electronic business applications in buyer-supplier relationships within the German automotive industry from the Ulster University Business School. Besides his academic career, he has worked for various well-known consultancy and logistic firms such as Price Waterhouse Coopers and the DB Schenker Group.  

His research explores the role of environmental and sustainable practices like ISO 14000 certification, health and safety at work, and recycling and waste reduction in supply chains. Specifically, he explores the impact of factors such as the country and the level of economic development on the degree of investment in sustainable supply chain management practices. In his earlier research projects, he explored the role of electronic business systems and its importance in collaborative supply chain practices. He has also studied the enabling role of various electronic business systems for collaborative supply chain practices such as information sharing and joint decision-making.  

The challenges of measuring academic impact  

Evaluating scientific research has always been a challenging task. Measuring the number of published papers would be clearly naïve as not every article has the same impact and interest. However, focusing on citations can also be misleading since an author may have many citations from a single paper but no impact for other publications. And what if we consider each coauthor's specific contribution to a paper? The permutations can be endless.  

To address this problem, the scientific community has created metrics like Hirsch’s h-index , which is calculated as follows: a researcher has an h-index if they have published h papers that have each been cited at least h times. For example, if a researcher has an h-index of 10, it means they have published at least 10 papers, each of which has been cited at least 10 times. There is a variation to this, the Hm-index, which adjusts the calculation for the number of authors on each paper.  

The Standford list proposes the c-score, which focuses on the impact of research (citations) rather than productivity (number of publications). It also incorporates information on co-authorship and author positions (single, first, or last author of the paper). The listing uses a composite indicator to standardize six citation values:  

  • Total number of citations received (NC).  
  • Hirsch index for citations received (h).  
  • Schreiber's co-authorship adjusted hm-index for citations received (hm).  
  • Total number of citations received for papers for which the scientist is a single author (NCS).  
  • Total number of citations received for papers for which the scientist is single or first author (NCSF).  
  • Total number of citations received for papers for which the scientist is single, first, or last author (NCSFL).  

Each of these six parameters are normalized to a value between 0 and 1 and then summed. The resulting c-score for each researcher ranges between 0 and 6. The data for the list is taken from Scopus – one of the main academic research citation databases. 

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