Alexander Tekles
Biographic Data
| ID | 6701496 |
|---|---|
| NAME | Alexander Tekles |
| GIVEN NAMES | Alexander |
| FAMILY NAME | Tekles |
| SIGNATURE | TEKLES A |
| AFFILIATIONS | Max Planck Society |
| ORCID | 0000-0001-8765-9331 |
| VERIFIED | Yes |
| TOTAL WORKS | 10 |
| TOTAL CITATIONS | 2 |
| WORKS AS AUTHOR | 10 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Is groundbreaking research disruptive? The covariation of disruption indices with researchers’ self-assessments
Park, Leahey, and Funk (2023) reported a decline in disruptive science since the Second World War, sparking debate about a perceived lack of major scientific achievements. Their study relied on the disruption index, a bibliometric indicator intended to identify disruptive patents and publications. However, this measure may miss substantial efforts contributing to scientific innovation, raising questions about its suitability for identifying major…
John Mearsheimer’s academic roots
John J. Mearsheimer is one of the most renowned theorists of International Relations and is often regarded as one of the primary representatives of the theoretical school of neorealism. To be able to understand and classify his positions, it is necessary to investigate his (theoretical) backgrounds and academic roots. The aim of this paper is, therefore, to analyze the roots of this political scientist with the help of the method Reference Public…
Are there biases in decisions to tweet on scientific papers? A plea for conducting an experimental Twitter study. Technical note
Twitter data are used as alternative metrics (altmetrics) to measure the impact or attention of research. Tweets are used to communicate about papers. However, Twitter data can only be used for research evaluation purposes, if biases do not influence tweet decisions on papers. The existence of biases can only be reasonably investigated using an experimental design with controlled (marginal) manipulations. In this comment, we propose to undertake …
Applied usage and performance of statistical matching in bibliometrics
Controlling for confounding factors is one of the central aspects of quantitative research. Although methods such as linear regression models are common, their results can be misleading under certain conditions. We demonstrate how statistical matching can be utilized as an alternative that enables the inspection of post-matching balancing. This contribution serves as an empirical demonstration of matching in bibliometrics and discusses the advant…
A proposal to revise the disruption index
The disruption index (DI) based on bibliographic coupling and uncoupling between a document and its references was first proposed by Funk & Owen-Smith (2017) for citation relations among patents and then adapted for scholarly papers by Wu et al. (2019). However, Wu & Wu (2019) argued that this indicator would be inconsistent. We propose revised disruption indices (DI* and DI#) which make the indicator theoretically more robust and consistent. Alo…
Disruptive papers published in Scientometrics
Wu et al. (Nature 566:378–382, 2019) introduced a new indicator measuring disruption ( $${DI}_{1}$$ DI 1 ). Bornmann et al. (Do disruption index indicators measure what they propose to measure? The comparison of several indicator variants with assessments by peers, 2019. https://arxiv.org/abs/1911.08775 ) compared variants of the disruption index and pointed to $${DI}_{5}$$ DI 5 as an interesting variant. The calculation of a field-specific versi…
Author name disambiguation of bibliometric data
Adequately disambiguating author names in bibliometric databases is a precondition for conducting reliable analyses at the author level. In the case of bibliometric studies that include many researchers, it is not possible to disambiguate each single researcher manually. Several approaches have been proposed for author name disambiguation, but there has not yet been a comparison of them under controlled conditions. In this study, we compare a set…
Does the h α -index reinforce the Matthew effect in science? The introduction of agent-based simulations into scientometrics
Recently, Hirsch (2019a) proposed a new variant of the h-index called the h α -index. The h α -index was criticized by Leydesdorff, Bornmann, and Opthof (2019) . One of their most important points is that the index reinforces the Matthew effect in science. The Matthew effect was defined by Merton (1968) as follows: “the Matthew effect consists in the accruing of greater increments of recognition for particular scientific contributions to scientis…
Are disruption index indicators convergently valid? The comparison of several indicator variants with assessments by peers
Recently, Wu, Wang, and Evans (2019) proposed a new family of indicators, which measure whether a scientific publication is disruptive to a field or tradition of research. Such disruptive influences are characterized by citations to a focal paper, but not its cited references. In this study, we are interested in the question of convergent validity. We used external criteria of newness to examine convergent validity: In the postpublication peer re…
Disruption index depends on length of citation window
In the context of recent developments in scientometrics to measure novelty or creative potential, We calculated the disruption index for some example papers. The analyses of the index values (using our Web of Science in-house database) show that they depend on the citation window (the period of time over which citations are collected)
A proposal to revise the disruption index
The disruption index (DI) based on bibliographic coupling and uncoupling between a document and its references was first proposed by Funk & Owen-Smith (2017) for citation relations among patents and then adapted for scholarly papers by Wu et al. (2019). However, Wu & Wu (2019) argued that this indicator would be inconsistent. We propose revised disruption indices (DI* and DI#) which make the indicator theoretically more robust and consistent. Alo…
Disruption index depends on length of citation window
In the context of recent developments in scientometrics to measure novelty or creative potential, We calculated the disruption index for some example papers. The analyses of the index values (using our Web of Science in-house database) show that they depend on the citation window (the period of time over which citations are collected)
Disruptive papers published in Scientometrics
Wu et al. (Nature 566:378–382, 2019) introduced a new indicator measuring disruption ( $${DI}_{1}$$ DI 1 ). Bornmann et al. (Do disruption index indicators measure what they propose to measure? The comparison of several indicator variants with assessments by peers, 2019. https://arxiv.org/abs/1911.08775 ) compared variants of the disruption index and pointed to $${DI}_{5}$$ DI 5 as an interesting variant. The calculation of a field-specific versi…
Author name disambiguation of bibliometric data
Adequately disambiguating author names in bibliometric databases is a precondition for conducting reliable analyses at the author level. In the case of bibliometric studies that include many researchers, it is not possible to disambiguate each single researcher manually. Several approaches have been proposed for author name disambiguation, but there has not yet been a comparison of them under controlled conditions. In this study, we compare a set…
Does the h α -index reinforce the Matthew effect in science? The introduction of agent-based simulations into scientometrics
Recently, Hirsch (2019a) proposed a new variant of the h-index called the h α -index. The h α -index was criticized by Leydesdorff, Bornmann, and Opthof (2019) . One of their most important points is that the index reinforces the Matthew effect in science. The Matthew effect was defined by Merton (1968) as follows: “the Matthew effect consists in the accruing of greater increments of recognition for particular scientific contributions to scientis…
Are disruption index indicators convergently valid? The comparison of several indicator variants with assessments by peers
Recently, Wu, Wang, and Evans (2019) proposed a new family of indicators, which measure whether a scientific publication is disruptive to a field or tradition of research. Such disruptive influences are characterized by citations to a focal paper, but not its cited references. In this study, we are interested in the question of convergent validity. We used external criteria of newness to examine convergent validity: In the postpublication peer re…
Applied usage and performance of statistical matching in bibliometrics
Controlling for confounding factors is one of the central aspects of quantitative research. Although methods such as linear regression models are common, their results can be misleading under certain conditions. We demonstrate how statistical matching can be utilized as an alternative that enables the inspection of post-matching balancing. This contribution serves as an empirical demonstration of matching in bibliometrics and discusses the advant…
A proposal to revise the disruption index
The disruption index (DI) based on bibliographic coupling and uncoupling between a document and its references was first proposed by Funk & Owen-Smith (2017) for citation relations among patents and then adapted for scholarly papers by Wu et al. (2019). However, Wu & Wu (2019) argued that this indicator would be inconsistent. We propose revised disruption indices (DI* and DI#) which make the indicator theoretically more robust and consistent. Alo…
Are there biases in decisions to tweet on scientific papers? A plea for conducting an experimental Twitter study. Technical note
Twitter data are used as alternative metrics (altmetrics) to measure the impact or attention of research. Tweets are used to communicate about papers. However, Twitter data can only be used for research evaluation purposes, if biases do not influence tweet decisions on papers. The existence of biases can only be reasonably investigated using an experimental design with controlled (marginal) manipulations. In this comment, we propose to undertake …
John Mearsheimer’s academic roots
John J. Mearsheimer is one of the most renowned theorists of International Relations and is often regarded as one of the primary representatives of the theoretical school of neorealism. To be able to understand and classify his positions, it is necessary to investigate his (theoretical) backgrounds and academic roots. The aim of this paper is, therefore, to analyze the roots of this political scientist with the help of the method Reference Public…
Is groundbreaking research disruptive? The covariation of disruption indices with researchers’ self-assessments
Park, Leahey, and Funk (2023) reported a decline in disruptive science since the Second World War, sparking debate about a perceived lack of major scientific achievements. Their study relied on the disruption index, a bibliometric indicator intended to identify disruptive patents and publications. However, this measure may miss substantial efforts contributing to scientific innovation, raising questions about its suitability for identifying major…
Computer Science (8 works) · scientometrics and bibliometrics research (7 works) · Library science (4 works) · Political science (4 works) · Artificial Intelligence (3 works) · Complex Network Analysis Techniques (3 works) · Information retrieval (3 works) · Innovation, Sustainability, Human-Machine Systems (3 works) · Mathematics (3 works) · Scientometrics (3 works)