Notable Scholars and Researchers in Scientometrics and Informetrics

Behind every citation index, impact factor, and research-trend dashboard sits a person who first asked a simple question: can we measure how knowledge grows? Scientometrics and informetrics exist because a handful of curious researchers decided that the spread of ideas could be counted, mapped, and studied like any other natural phenomenon. Their work now powers everything from university rankings to national research policy. This post introduces the scholars who built these fields, the newer researchers carrying them forward, and the institutions that turn individual brilliance into collective progress.

Pioneers in the field 🔗

Two names appear again and again in any serious discussion of scientometrics: Eugene Garfield and Blaise Cronin. One gave the field its central tool. The other gave it depth and self-awareness. Together they shaped how we think about measuring scholarship.

Eugene Garfield and the birth of citation indexing 🔗

Eugene Garfield (1925-2017) is widely regarded as the father of scientometrics. An American information scientist with a doctorate in structural linguistics, he helped found both bibliometrics and scientometrics through one powerful idea: citations are formal, explicit links between papers, and those links can be indexed.

In 1960 he established the Institute for Scientific Information (ISI), and in 1964 ISI began publishing the Science Citation Index (SCI). This was the breakthrough. For the first time, a researcher could start with one known paper and trace every later work that cited it, then follow those citations onward. The basic idea was that a citation index delivers relevant documents by mapping how ideas travel between papers.

Garfield did not stop there. He created the Social Sciences Citation Index, the Arts and Humanities Citation Index, and the alerting service Current Contents. He also devised the Journal Impact Factor, a measure of the average number of recent citations to articles in a journal. Originally built to help libraries decide which journals to index, the impact factor became one of the most widely used and frequently debated tools in academic evaluation.

His influence reaches beyond libraries and journals. Garfield’s citation-based thinking helped inspire information-retrieval algorithms like PageRank, the method that originally powered Google’s search engine. The same logic that ranks scientific papers by how often they are cited can rank web pages by how often they are linked. In effect, the structure of scholarly citation became a blueprint for organising the entire web.

Blaise Cronin and the social side of citation 🔗

If Garfield built the measuring instrument, Blaise Cronin asked what the measurements really mean. Born in 1949, Cronin is an Irish-American information scientist and the Rudy Professor Emeritus of Information Science at Indiana University Bloomington, where he served as Dean of the School of Library and Information Science for seventeen years. Across his career he has produced more than 300 research articles, monographs, and conference papers.

Cronin’s contribution was to treat citation as a social act, not just a data point. His research examined collaboration in science, scholarly communication, the academic reward system, and cybermetrics. He was especially interested in acknowledgements, the thank-you notes buried in research papers, arguing that they reveal hidden contributions that citations alone miss.

He was also willing to challenge his own field. In his early work The Citation Process (1984), Cronin questioned whether citations are valid proxies for quality, a provocative stance in a discipline built on counting them. This habit of asking hard questions earned him deep respect. In 2013 he received the Derek de Solla Price Medal, the highest honour in the field, named after the historian regarded as the founder of scientometrics. His later edited volumes, including Beyond Bibliometrics (2014), pushed the field to examine its own assumptions about how research should be measured.

Emerging researchers 🔗

The pioneers built the foundations, but the field keeps moving. Newer researchers bring fresh methods, broader data, and perspectives from outside traditional library science. Two such contributors are Anju Chawla and Andrea Scharnhorst.

Anju Chawla and informetrics research 🔗

Anju Chawla represents the strong tradition of scientometric research that has developed within the country. Working out of the National Institute of Science, Technology and Development Studies (NISTADS) in New Delhi, a laboratory under the Council of Scientific and Industrial Research, she co-authored work presented at major international gatherings such as the 1995 conference of the International Society for Scientometrics and Informetrics.

Her research applies informetric methods to real policy questions, including the relationship between research-and-development inputs and the performance they produce. This focus on the link between resources and scientific output is exactly the kind of evidence that funding agencies and science administrators need. By studying citation networks, authorship patterns, and the productivity of research institutions, scholars like Chawla help ensure that domestic research is visible, well measured, and fairly represented in global analyses. This matters because much early scientometric data came from Western databases that under-counted work from other regions.

Andrea Scharnhorst and modelling science dynamics 🔗

Andrea Scharnhorst brings an unusual background to informetrics. She began in statistical physics, moved through the philosophy of science, and then into scientometrics and information science. Today she is a senior researcher at Data Archiving and Networked Services (DANS) at the Royal Netherlands Academy of Arts and Sciences.

Her physics training shapes how she works. Scharnhorst treats science itself as a complex, evolving system that can be modelled and simulated. She has published on the Matthew effect (the tendency for already-famous researchers to attract still more recognition), the evolution of classification systems, and models of innovation. Her co-edited volume Models of Science Dynamics (2012) brought together physicists and information scientists to study how knowledge grows over time.

She is also known for knowledge maps, visual representations of how disciplines connect and where new fields emerge. One of her projects compared the category structure of Wikipedia with the Universal Decimal Classification system, revealing how informal and formal knowledge organisation differ. From 2013 to 2017 she chaired a large European research network, KNOWeSCAPE, devoted to analysing the dynamics of information landscapes. Her career shows how informetrics now draws talent from far beyond library science.

Collaborations with institutions 🔗

No scientometrician works alone. The field advances through dense networks of scholars, universities, and professional bodies that share data, methods, and standards. Understanding these institutions explains how individual insights become widely accepted practice.

The professional home: ISSI 🔗

The central organisation in this field is the International Society for Scientometrics and Informetrics (ISSI). It was founded in Berlin in 1993 and formally incorporated in the Netherlands in 1994, with Hildrun Kretschmer of Germany as its first president. ISSI describes itself as an international association of scholars studying the science of science, science communication, and science policy through quantitative approaches.

The society’s purpose is collaborative by design. It aims to encourage the exchange of professional information, improve standards and theory, and stimulate research and training. Its members come from over 30 countries, and its biennial conferences, held everywhere from Durban to Wuhan, are where new methods get tested and debated. These meetings are how a researcher in one country learns what colleagues elsewhere have discovered, keeping the field genuinely global.

Research centres that anchor the field 🔗

Alongside the professional society sit dedicated research centres. The most influential is the Centre for Science and Technology Studies (CWTS) at Leiden University in the Netherlands. CWTS produces the Leiden Ranking, a university ranking based purely on bibliometric indicators, and its researchers have driven major debates about responsible metrics and open science. When CWTS scientists collectively resigned from a major journal’s editorial board in 2018 to launch an open-access alternative, the new journal Quantitative Science Studies, they demonstrated how institutional collaboration can reshape the field’s infrastructure.

In the country, the picture is anchored by bodies such as NISTADS and the former NISCAIR (now the National Institute of Science Communication and Policy Research), which has long published the Annals of Library and Information Studies. The roots run deep: the foundation of library and information science research here traces back to S. R. Ranganathan, who edited the first national LIS journal in 1954. From that base, generations of researchers have contributed bibliometric and scientometric studies to the global literature.

Why collaboration matters 🔗

These partnerships do more than pool resources. When Scharnhorst works with physicists, computer scientists, and digital-humanities scholars across European projects, the resulting methods are richer than any single discipline could produce. When researchers like Chawla ensure domestic output is captured in international databases, the global picture of science becomes more accurate and less skewed toward a few wealthy regions. Collaboration is not a nice extra in this field. It is the mechanism by which scattered measurements become a shared, reliable map of how human knowledge develops.

What do you think? If citation counts can be shaped by collaboration networks and even gamed by strategic referencing, how much should universities and funding agencies rely on them to judge a researcher’s worth? And as scientometrics draws in physicists, data scientists, and humanists, do you think the field still belongs to library and information science, or is it becoming something entirely new?

References

1. https://en.wikipedia.org/wiki/Eugene_Garfield
2. https://arxiv.org/pdf/1312.3872
3. https://en.wikipedia.org/wiki/Scientometrics
4. https://en.wikipedia.org/wiki/Blaise_Cronin
5. https://library.oapen.org/bitstream/handle/20.500.12657/46038/1/external_content.pdf
6. https://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=3146022
7. https://pure.knaw.nl/portal/en/persons/andrea-scharnhorst/
8. https://link.springer.com/article/10.1007/s11192-013-1169-3
9. https://www.issi-society.org/about/
10. https://www.cwts.nl/news?article=n-r2v294
11. https://en.wikipedia.org/wiki/National_Institute_of_Science_Communication_and_Information_Resources