Test Description

Citation metrics are widely used and misused. We have created a publicly available database of top-cited scientists that provides standardized information on citations, h-index, co-authorship adjusted hm-index, citations to papers in different authorship positions and a composite indicator (c-score). Separate data are shown for career-long and, separately, for single recent year impact. Metrics with and without self-citations and ratio of citations to citing papers are given and data on retracted papers (based on Retraction Watch database) as well as citations to/from retracted papers have been added. Scientists are classified into 22 scientific fields and 174 sub-fields according to the standard Science-Metrix classification. Field- and subfield-specific percentiles are also provided for all scientists with at least 5 papers. Career-long data are updated to end-of-2024 and single recent year data pertain to citations received during calendar year 2024. The selection is based on the top 100,000 scientists by c-score (with and without self-citations) or a percentile rank of 2% or above in the sub-field. This version (7) is based on the August 1, 2025 snapshot from Scopus, updated to end of citation year 2024. This work uses Scopus data. Calculations were performed using all Scopus author profiles as of August 1, 2025. If an author is not on the list, it is simply because the composite indicator value was not high enough to appear on the list. It does not mean that the author does not do good work. PLEASE ALSO NOTE THAT THE DATABASE HAS BEEN PUBLISHED IN AN ARCHIVAL FORM AND WILL NOT BE CHANGED. The published version reflects Scopus author profiles at the time of calculation. We thus advise authors to ensure that their Scopus profiles are accurate. REQUESTS FOR CORRECIONS OF THE SCOPUS DATA (INCLUDING CORRECTIONS IN AFFILIATIONS) SHOULD NOT BE SENT TO US. They should be sent directly to Scopus, preferably by use of the Scopus to ORCID feedback wizard (https://orcid.scopusfeedback.com/) so that the correct data can be used in any future annual updates of the citation indicator databases. The c-score focuses on impact (citations) rather than productivity (number of publications) and it also incorporates information on co-authorship and author positions (single, first, last author). If you have additional questions, see attached file on FREQUENTLY ASKED QUESTIONS. Finally, we alert users that all citation metrics have limitations and their use should be tempered and judicious. For more reading, we refer to the Leiden manifesto: https://www.nature.com/articles/520429a

As spatial analysis can contribute to the understanding of COVID-19 epidemic, we compiled and georeference data for Mexico. Data were compiled from the National Population Council (CONAPO), Google, the National Institute of Statistics and Geography (INEGI), and the Secretary of Health. The data describe the cases of COVID and characteristics of the population, such as distribution, mobility, and prevalence of chronic diseases such as diabetes, hypertension, and obesity. These data were processed to be compatible and georeferenced to a common geographic framework to facilitate spatial analysis in a geographic information system (GIS). The dataset comprises GIS layers (shapefiles), tables (CSV formatted), and R scripts. A complete description will be submitted to the journal Data in Brief (https://www.journals.elsevier.com/data-in-brief/)

Scopus coverage updates (2011-2018) Data aggregated from Elsevier title list files; it provides: - source ID in Scopus - Title - ISSN - ESSN - Year of the title list file used as source - SNIP - Open access status - Status in the database (Added, previously indexed) - Filed - Subfield - ASJC code

Abstract This paper describes an algorithm and a computer program which solves numerically (virtually exactly) equations of the restricted open-shell Hartree-Fock and Hartree-Fock-Slater model for diatomic molecules

Title of program: 2dhf Catalogue Id: ADEB_v1_0

Nature of problem The program finds virtually exact solutions of the Hartree-Fock and Hartree-Fock-Slater equations for diatomic molecules. The lowest energy eignestates of a given irreducible representation and spin can be obtained.

Versions of this program held in the CPC repository in Mendeley Data ADEB_v1_0; 2dhf; 10.1016/0010-4655(96)00098-7 ADEB_v2_0; 2dhf; 10.1016/j.cpc.2012.09.033

This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018)

August 2021 data-update for "Updated science-wide author databases of standardized citation indicators"

Description

Citation metrics are widely used and misused. We have created a publicly available database of over 100,000 top-scientists that provides standardized information on citations, h-index, co-authorship adjusted hm-index, citations to papers in different authorship positions and a composite indicator. Separate data are shown for career-long and single year impact. Metrics with and without self-citations and ratio of citations to citing papers are given. Scientists are classified into 22 scientific fields and 176 sub-fields. Field- and subfield-specific percentiles are also provided for all scientists who have published at least 5 papers. Career-long data are updated to end-of-2020. The selection is based on the top 100,000 by c-score (with and without self-citations) or a percentile rank of 2% or above.

The dataset and code provides an update to previously released version 1 data under https://doi.org/10.17632/btchxktzyw.1; The version 2 dataset is based on the May 06, 2020 snapshot from Scopus and is updated to citation year 2019 available at https://doi.org/10.17632/btchxktzyw.2

This version (3) is based on the Aug 01, 2021 snapshot from Scopus and is updated to citation year 2020.

Baas, Jeroen; Boyack, Kevin; Ioannidis, John P.A. (2021), “August 2021 data-update for "Updated science-wide author databases of standardized citation indicators"”, Mendeley Data, V3, doi: 10.17632/btchxktzyw.3

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Three tables and one figure of this paper. Table 1 is a summary of results of implementation of data sharing policies at Elsevier, 2017–2018. Over 2,200 journals were eligible for data sharing roll-out and their editors consulted for the advised policy to be instated. Table 2 shows deposition of data during manuscript submission to Mendeley Data Repository per subject category, 2017–2018. Table 3 is a roadmap to implement FAIR data support at Elsevier: high level overview of steps necessary to support FAIR data creation and sharing. Shaded cells (green to red) refl ect if implementation is in the future (red) or already been initiated (yellow), or otherwise are live (green). Note that the status of these implementations is subject to change as we are continuously revising our implementations with input from all stakeholders in the research community. Figure 1 shows the “data Maslow hierarchy” visualizing the components of data sharing.

Description of the dataset created by automated API test

This data is associated with the following research paper:

Champoux et al 2020. An investigation of physiological effects of the Deepwater Horizon oil spill on a long-distance migratory seabird, the Northern Gannet. Marine Pollution Bulletin Volume 153, April 2020, 110953. https://doi.org/10.1016/j.marpolbul.2020.110953 https://authors.elsevier.com/a/1aaCz,ashxl6c

This draft dataset has been generated by an API test

Data supporting the charts in https://www.nature.com/articles/d41586-019-02479-7. Based on a snapshot of Scopus dated July 2019, across around the 7 Million author profiles that have 5 or more publications in Scopus. Information about the compilation of the dataset of which this aggregate is derived is available with the article dataset: https://data.mendeley.com/datasets/btchxktzyw/1

Test Project description

The datasets included here have been used in the research paper titled “Vehicle-to-home operation and multi-location charging of electric vehicles for energy cost optimization of households with photovoltaic system and battery energy storage,” published in the 2024 issue of the Renewable Energy journal, Volume 221, Elsevier. Detailed descriptions of the datasets and the methods used to create them can be found in a paper titled “Travel datasets to analyze the impacts of Vehicle-to-Home operation and multi-location charging of electric vehicles on household energy cost,” which has been submitted to Elsevier’s Data-in-Brief journal. It is currently under review.

Title of program: BSSW Catalogue Id: ABGL_v1_0

Nature of problem The program computes the energy and the wave function of the s-state in a Saxon-Woods potential. It can also determine the well depth or radius which fits a given binding energy.

Versions of this program held in the CPC repository in Mendeley Data ABGL_v1_0; BSSW; 10.1016/0010-4655(73)90018-0

This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)

Title of program: JMPDIS Catalogue Id: ACYW_v1_0

Nature of problem Any spatial or temporal data set with sharp jump discontinuities may be interpolated by this subroutine JMPDIS. The data set can have a finite number of discontinuities (less than 10 in this case) or no discontinuity at all.

Versions of this program held in the CPC repository in Mendeley Data ACYW_v1_0; JMPDIS; 10.1016/0010-4655(79)90093-6

This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)

Today's social progress is entirely a gift of science, but if we look closely, we can easily see that our progress has been made possible by the discovery of the great scientists of the past and the knowledge they have imparted. But the great scientists of the past have shown us only by mathematical solutions. They never imagined that humans would one day travel to space, or that they would actually reach different ‘PLANETS ORBITING THE SUN’. Even today no one has been able to scratch the mathematical or discovery given to them. I respect their contribution. Encouraged by the information that previous scientists have gone through here, I have written each of my articles. I have discussed the structure of atoms and the relationship of light with electrons, protons, neutrons in each of my previous articles. I look at each article from different angles and from different perspectives; I have tried to prove their authenticity by calculating the atomic and light constants, quantum etc. by mathematics. I here would like bring to your attention that whatever is my identity today as scientific inventor from a under developed town of India, where there is no any scope and support from any Govt. or social organization towards this type of research but has to done on my own sacrificing my day to day family needs, is due to Social Media’s (Blog, Twitter, Facebook, Google) and few number of great international organization’s (Like Mendeley data, datacite, Elsevier, narcis.nl. figshare, worldcat, ORCID etc.) kind attention towards my work on "Atomic mass energy primary colour" & “Atomic Mass Energy and Constant.” etc.
I know all these discoveries of mine are now a matter of neglect but one day it will be very necessary in the world of science. It’s not an expression of my arrogance, it’s my belief.

Abstract A computational approach is presented for efficient solution of two-dimensional few-body problems, such as quantum dots or excitonic complexes, using the stochastic variational method. The computer program can be used to calculate the energies and wave functions of various two-dimensional systems.

Title of program: svm-2d Catalogue Id: AEBE_v1_0

Nature of problem Variational calculation of energies and wave functions using Correlated Gaussian basis.

Versions of this program held in the CPC repository in Mendeley Data AEBE_v1_0; svm-2d; 10.1016/j.cpc.2007.07.015

This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)

Abstract APACIC++ is a Monte Carlo event-generator dedicated for the simulation of electron–positron annihilations into jets. Within the framework of APACIC++, the emergence of jets is identified with the perturbative production of partons as governed by corresponding matrix elements. In addition to the build-in matrix elements describing the production of two and three jets, further programs can be linked allowing for the simultaneous treatment of higher numbers of jets. APACIC++ hosts a new approach...

Title of program: APACIC++, version 1.0 Catalogue Id: ADNE_v1_0

Nature of problem With rising energies, the final state in high-energy electron positron-annihilations becomes increasingly complex. The number of jets as well as the number of observable particles, leptons, hadrons and photons, increases drastically and prevents any analytical prediction of the full final state. In addition, the transformation of the partons of perturbative quantum field theory into the experimentally observable hadrons is so far not understood on a quantitative level. Both obstacles prevent any ...

Versions of this program held in the CPC repository in Mendeley Data ADNE_v1_0; APACIC++, version 1.0; 10.1016/S0010-4655(00)00201-0 ADNE_v2_0; APACIC++, version 2.0; 10.1016/j.cpc.2005.11.009

This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)

Title of program: INDCAL Catalogue Id: AAQR_v1_0

Nature of problem The program segment determines the positions of different entries in two ordered lists of numbers. This is done for the analysis of complex spectra using the Unitary Group methods.

Versions of this program held in the CPC repository in Mendeley Data AAQR_v1_0; INDCAL; 10.1016/0010-4655(81)90005-9

This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)

Title of program: COMMUMAT Catalogue Id: AABD_v1_0

Nature of problem To find the invariants, the polynomials in the generators, labelling the unitary group representations.

Versions of this program held in the CPC repository in Mendeley Data aabd_v1_0; COMMUMAT; 10.1016/0010-4655(85)90065-7

This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)