The Matilda Effect in Soviet scientometrics? Nalimov, Mulchenko, and the origins of <i>Naukometriya</i>

Abstract This article revisits the early history of Soviet scientometrics, examining the role of Zinaida Mulchenko in writing Naukometriya—the foundational book in this field. While Vasily V. Nalimov is widely regarded as the sole author of the book, the influence of Mulchenko remains mostly unknown. We argue that her involvement in writing Naukometriya was also significant. To support this claim, we first reveal the key aspects of her biography obtained through the archival research and informants’ testimonies. Then, we compare the content of Naukometriya with Mulchenko’s Ph.D. dissertation (the first doctoral thesis in scientometrics defended in the Soviet Union), underlying the structural, systematic, and content overlaps that question the commonly held view of sole authorship. Such analysis is further accompanied with the track record of Nalimov-Mulchenko coauthorship reconstruction preceding the years of Naukometriya publication. Finally, we propose that Mulchenko’s diminished positionality as the coauthor of the book can be understood through the lens of the Matilda Effect—a systematic underrecognition of women’s contributions to science. Drawing from multilevel analysis, we reconstruct her role in writing the book and identify the reasons that eventually led to Mulchenko’s erasure from the history of Soviet scientometrics.

Authors

Institutions

Publication Details

Journal
Quantitative Science Studies
Published
2025-11-13
DOI
https://doi.org/10.1162/qss.a.397
Primary Topic
History of Science and Medicine
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Matilda Effect in Soviet scientometrics? Nalimov, Mulchenko, and the origins of Naukometriya

Emanuel Kulczycki, Ivan Kislenko
Quantitative Science Studies
History of Science and Medicine
article

The Matilda Effect in Soviet scientometrics? Nalimov, Mulchenko, and the origins of Naukometriya

Emanuel Kulczycki, Ivan Kislenko
article en

Abstract

Abstract This article revisits the early history of Soviet scientometrics, examining the role of Zinaida Mulchenko in writing Naukometriya—the foundational book in this field. While Vasily V. Nalimov is widely regarded as the sole author of the book, the influence of Mulchenko remains mostly unknown. We argue that her involvement in writing Naukometriya was also significant. To support this claim, we first reveal the key aspects of her biography obtained through the archival research and informants’ testimonies. Then, we compare the content of Naukometriya with Mulchenko’s Ph.D. dissertation (the first doctoral thesis in scientometrics defended in the Soviet Union), underlying the structural, systematic, and content overlaps that question the commonly held view of sole authorship. Such analysis is further accompanied with the track record of Nalimov-Mulchenko coauthorship reconstruction preceding the years of Naukometriya publication. Finally, we propose that Mulchenko’s diminished positionality as the coauthor of the book can be understood through the lens of the Matilda Effect—a systematic underrecognition of women’s contributions to science. Drawing from multilevel analysis, we reconstruct her role in writing the book and identify the reasons that eventually led to Mulchenko’s erasure from the history of Soviet scientometrics.

Quantitative Science StudiesVol. 7
Adam Mickiewicz University in Poznań (PL)
Science History Institute, Lomonosov Moscow State University
Openalex Percentile: Top 60%
History of Science and Medicine
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.