🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

Alexander Tekles

University of Passau

ORCID: 0000-0001-8765-9331
Decision SciencesPhysics and AstronomyBusiness, Management and AccountingEconomics, Econometrics and Finance

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile
0Author DataRank

Indexed papers

2in pilot corpus
datarank_citation_only_1hop_v6· scope data_onlyMethodology
Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 2 indexed papers attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

Top data-sharing exemplar

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

Dataset Anchoring effects in the assessment of papers

Figshare(2022)10.6084/m9.figshare.21378573
Top 100%
0DataRank
Top 100%0 citations

Christian Ganser, Alexander Tekles, Lutz Bornmann

Papers

Driven by 20 papers — median percentile 0. Top paper: “Disruption index depends on length of citation window”.

Disruption index depends on length of citation window

El Profesional de la Información(2019)10.3145/epi.2019.mar.07
N/A
2.6DataRank · unranked
63 citations

Alexander Tekles, Lutz Bornmann

Disruptive papers published in Scientometrics: meaningful results by using an improved variant of the disruption index originally proposed by Wu, Wang, and Evans (2019)

Scientometrics(2020)10.1007/s11192-020-03406-8
N/A
2.0DataRank · unranked
50 citations

Sitaram Devarakonda, Alexander Tekles, George Chacko, Lutz Bornmann

Disruptive papers published in Scientometrics

Scientometrics(2019)10.1007/s11192-019-03113-z
N/A
1.3DataRank · unranked
34 citations

Alexander Tekles, Lutz Bornmann

Productivity does not equal usefulness

Scientometrics(2018)10.1007/s11192-018-2982-5
N/A
1.3DataRank · unranked
20 citations

Alexander Tekles, Lutz Bornmann

Do we measure novelty when we analyze unusual combinations of cited references? A validation study of bibliometric novelty indicators based on F1000Prime data

Journal of Informetrics(2019)10.1016/j.joi.2019.100979
N/A
1.1DataRank · unranked
56 citations

Alexander Tekles, Helena H. Zhang, Fred Y. Ye, Lutz Bornmann

Does the hα-index reinforce the Matthew effect in science? The introduction of agent-based simulations into scientometrics

Quantitative Science Studies(2020)10.1162/qss_a_00008
N/A
0.749DataRank · unranked
14 citations

Christian Ganser, Alexander Tekles, Loet Leydesdorff, Lutz Bornmann

Same-gender citations do not indicate a substantial gender homophily bias

PLOS ONE(2022)10.1371/journal.pone.0274810
N/A
0.748DataRank · unranked
16 citations

Katrin Auspurg, Lutz Bornmann, Alexander Tekles

Applied usage and performance of statistical matching in bibliometrics: The comparison of milestone and regular papers with multiple measurements of disruptiveness as an empirical example

Quantitative Science Studies(2021)10.1162/qss_a_00158
N/A
0.690DataRank · unranked
21 citations

Alexander Tekles, Lutz Bornmann, Felix Bittmann

Convergent validity of several indicators measuring disruptiveness with milestone assignments to physics papers by experts

Journal of Informetrics(2021)10.1016/j.joi.2021.101159
N/A
0.620DataRank · unranked
32 citations

Alexander Tekles, Lutz Bornmann

A proposal to revise the disruption index

El profesional de la información(2021)10.3145/epi.2021.ene.21
N/A
0.406DataRank · unranked
14 citations

Alexander Tekles, Lutz Bornmann, Loet Leydesdorff

How well does I3 perform for impact measurement compared to other bibliometric indicators? The convergent validity of several (field-normalized) indicators

Scientometrics(2019)10.1007/s11192-019-03071-6
N/A
0.360DataRank · unranked
10 citations

Alexander Tekles, Loet Leydesdorff, Lutz Bornmann

Anchoring effects in the assessment of papers: An empirical survey of citing authors

PLOS ONE(2023)10.1371/journal.pone.0283893
N/A
0.337DataRank · unranked
5 citations

Christian Ganser, Alexander Tekles, Lutz Bornmann

John Mearsheimer’s academic roots: a reference publication year spectroscopy of a political scientist’s oeuvre

Scientometrics(2023)10.1007/s11192-023-04721-6
N/A
0.247DataRank · unranked
3 citations

Alexander Tekles, Lutz Bornmann, A. Gruber, Anton Gruber

A Proposal to Revise and Simplify the Disruption Indicator

SSRN Electronic Journal(2020)10.2139/ssrn.3722616
N/A
0.104DataRank · unranked
1 citations

Alexander Tekles, Lutz Bornmann, Loet Leydesdorff

Are there biases in decisions to tweet on scientific papers? A plea for conducting an experimental Twitter study. Technical note

El Profesional de la información(2022)10.3145/epi.2022.ene.15
N/A
0DataRank · unranked
0 citations

Robin Haunschild, Alexander Tekles, Lutz Bornmann

Dataset Anchoring effects in the assessment of papers

Figshare(2022)10.6084/m9.figshare.21378573
Top 100%
0DataRank
Top 100%0 citations

Christian Ganser, Alexander Tekles, Lutz Bornmann

Corrigendum to “Do we measure novelty when we analyze unusual combinations of cited references? A validation study of bibliometric novelty indicators based on F1000Prime data” [Journal of Informetrics 13/4 (2019) 100979]

Journal of Informetrics(2024)10.1016/j.joi.2024.101544
N/A
0DataRank · unranked
0 citations

Alexander Tekles, Helena H. Zhang, Fred Y. Ye, Lutz Bornmann

Dataset Anchoring effects in the assessment of papers

Figshare(2022)10.6084/m9.figshare.21378573.v1
Top 100%
0DataRank
Top 100%0 citations

Christian Ganser, Alexander Tekles, Lutz Bornmann

Author response for "Applied Usage and Performance of Statistical Matching in Bibliometrics: The Comparison of Milestone and Regular Papers With Multiple Measurements of Disruptiveness as an Empirical Example"

(2021)10.1162/qss_a_00158/v2/response1
N/A
0DataRank · unranked
0 citations

Alexander Tekles, Lutz Bornmann, Felix Bittmann

Are disruption index indicators convergently valid? The comparison of several indicator variants with assessments by peers

Quantitative Science Studies(2020)10.1162/qss_a_00068
N/A
0DataRank · unranked
90 citations

Sitaram Devarakonda, Alexander Tekles, George Chacko, Lutz Bornmann