Editing Scientometrics (section)

== Methods and findings ==
Methods of research include qualitative, quantitative and computational approaches. The main focus of studies have been on institutional productivity comparisons, institutional research rankings, journal rankings<ref name="papers.ssrn.com"/><ref name="Lowry, Paul Benjamin 2013"/><ref>{{cite journal | last1 = Lowry | first1 = Paul Benjamin | last2 = Humphreys | first2 = Sean | last3 = Malwitz | first3 = Jason | last4 = Nix | first4 = Joshua C | year = 2007 | title = A scientometric study of the perceived quality of business and technical communication journals | ssrn = 1021608 | journal = IEEE Transactions on Professional Communication | volume = 50 | issue = 4| pages = 352–378 | doi = 10.1109/TPC.2007.908733 | s2cid = 40366182 }} Recipient of the Rudolph Joenk Award for Best Paper Published in IEEE Transactions on Professional Communication in 2007.</ref> establishing faculty productivity and tenure standards,<ref>{{cite journal | last1 = Dean | first1 = Douglas L | last2 = Lowry | first2 = Paul Benjamin | last3 = Humpherys | first3 = Sean | year = 2011 | title = Profiling the research productivity of tenured information systems faculty at U.S. institutions | ssrn = 1562263 | journal = MIS Quarterly | volume = 35 | issue = 1| pages = 1–15 | doi = 10.2307/23043486 | jstor = 23043486 }}</ref> assessing the influence of top scholarly articles,<ref>{{cite journal | last1 = Karuga | first1 = Gilbert G. | last2 = Lowry | first2 = Paul Benjamin | last3 = Richardson | first3 = Vernon J. | year = 2007 | title = Assessing the impact of premier information systems research over time | ssrn = 976891 | journal = Communications of the Association for Information Systems | volume = 19 | issue = 7| pages = 115–131 | doi = 10.17705/1CAIS.01907 | doi-access = free }}</ref> and developing profiles of top authors and institutions in terms of research performance.<ref>{{cite journal | last1 = Lowry | first1 = Paul Benjamin | last2 = Karuga | first2 = Gilbert G. | last3 = Richardson | first3 = Vernon J. | year = 2007 | title = Assessing leading institutions, faculty, and articles in premier information systems research journals | ssrn = 1021603 | journal = Communications of the Association for Information Systems | volume = 20 | issue = 16| pages = 142–203 | doi = 10.17705/1CAIS.02016 | doi-access = free }}</ref>

One significant finding in the field is a principle of cost escalation to the effect that achieving further findings at a given level of importance grow exponentially more costly in the expenditure of effort and resources. However, new algorithmic methods in search, [[machine learning]] and [[data mining]] are showing that is not the case for many information retrieval and extraction-based problems.{{Citation needed|date=September 2020}}

More recent methods rely on [[open source]] and [[open data]] to ensure transparency and reproducibility in line with modern [[open science]] requirements. For instance, the [[Unpaywall]] index and attendant research on [[open access]] trends is based on data retrieved from [[OAI-PMH]] endpoints of thousands of [[open archive]]s provided by libraries and institutions worldwide.<ref>{{cite bioRxiv |first1=Heather|last1=Piwowar|first2=Jason|last2=Priem|first3=Richard|last3=Orr|title=The Future of OA: A large-scale analysis projecting Open Access publication and readership|date=2019-10-09|biorxiv=10.1101/795310}}</ref>

Recommendations to avoid common errors in scientometrics include: select topics with sufficient data; use data mining and web scraping, combine methods, and eliminate "false positives".<ref>Jiawei, H., Kamber, M., Han, J., Kamber, M., Pei, J. 2012. Data Mining: Concepts and Techniques. Morgan Kaufmann, Wlatham, EE.UU.</ref><ref>{{cite journal | doi=10.33412/idt.v14.1.1807 | title=Extracción de datos de perfiles en Google Scholar utilizando un algoritmo en el lenguaje R para hacer minería de datos | year=2018 | last1=Quintero | first1=Erika | last2=Saavedra | first2=Dalys | last3=Murillo | first3=Danny | journal=I+D Tecnológico | volume=14 | pages=94–104 | s2cid=165340425 | doi-access=free }}</ref> It is also necessary to understand the limits of search engines (e.g. Web of Science, Scopus and Google Scholar) which fail to index thousands of studies in small journals and underdeveloped countries.<ref>{{cite journal | doi=10.7818/ECOS.2256 | title=Cómo aplicar la cienciometría a la investigación ecológica | year=2021 | last1=Añino Ramos | first1=Yostin Jesús | last2=Monge Najera | first2=Julian | last3=Murillo-Gonzalez | first3=Danny | last4=Michán-Aguirre | first4=Layla | journal=Ecosistemas | volume=30 | issue=2 | pages=1–4 | s2cid=238733389 | doi-access=free }}</ref>