The most commonly used indicators of publication output include the H-index, citation count, publication count, and cumulative impact factor. These have some common limitations:

- inherent injustices: Current scientometric systems favor older researchers over younger ones, as they do not account for the length of academic careers, leading to systemic biases.

- disciplinary disparities: Metrics such as the H-index vary significantly across different scientific fields, making direct comparisons misleading and unfair.

- temporal relevance: These metrics fail to account for the recent activity of researchers, leading to outdated "giants" from the past skewing evaluations, which misrepresents their current relevance and productivity.

- authorship contribution variability: In some disciplines, authorship positions reflect varying levels of contribution and responsibility, with first and last authors typically indicating major roles, leading to potential misinterpretation of middle authors' contributions.

Scientometrics.org derives a responsible metrics of academic scholarly performance. In particular, the ranking computed by scientometrics.org is:

- robust: the algorithm uses journal-based, impact-based, and composite metrics to compute a combined score;

- highly transparent: the entire analysis including the score and both the researcher-specific data and the reference database can be checked instantly;

- fair: the algorithm corrects for different ages of the researchers;

- discipline-specific: different parameters are determined for different scientific fields to account for different publication practices;

- mother-friendly: the score can be corrected for maternity or other leaves; and

- promotes excellence: a high-impact paper in a top journal not only increases the H-index, the publication count, and the yearly citation, but also substantially adds to the overall score via the "high-impact score".

There is no filtering for SJR ranks when determining high-impact papers. Therefore, any publication with sufficient independent citations can reach a high impact rank.

The reference database used by the site only contains anonymized data.

- The MTMT-based reference databases for Hungarian researchers can be downloaded here: H-index table, Citation table, Article count table.

- The SCOPUS-based reference databases for the Scopus-based analysis page using 507,199 researchers can be downloaded here: H-index table, Citation table, Article count table.

- The percentile reference tables derived from the Scopus-based reference database can be downloaded here: H-index percentile, Citation percentile, Article count percentile.

- The OpenAlex-based reference databases for the OpenAlex-based analysis page using 996,385 researchers can be downloaded here: H-index table, Citation table, Article count table.

- The percentile reference tables derived from the OpenAlex-based reference database can be downloaded here: H-index percentile, Citation percentile, Article count percentile.

- The topic-domain-field-subfield arrangement for OpenAlex-based page can be downloaded here: Topics and fields

Scopus is a global database for publications and citations maintained by Elsevier. MTMT is a Hungarian database for publications and citations of Hungarian researchers maintained by the Hungarian Academy of Sciences. When running the analysis using data directly from Scopus, the following features are not available:

- corresponding authorship and divided first/last authorships are not taken into account (only actual first/last authorships)

- there is no filtering for the date of the most recent database update

- there is no filtering for publication type (e.g. research article, review, letter), and all Scopus-listed publications are included

- the multicitation score is not calculated

- the Institutes tab is disabled

Your publications may be on several OpenAlex identifiers. Scientometrics.org can only use one identifier in the analysis. To combine different identifiers, please use this web form. It might take 3 weeks or so to get live in the system (they have a secondary process for someone to confirm the requests first and that takes some time).

Your publications may be on several Scopus identifiers. Scientometrics.org can only use one identifier in the analysis. To combine different identifiers, please search directly in the Scopus website for your name. Then select the identifiers concerned and click on the "Request to merge authors" link at the top of the search results.

Scientometrics.org uses complete calendar years, as it is not possible to make a ranking using partial timeframes (e.g. months). Papers published in 2024 will be included after January 2025.

We do not maintain a publication and citation repository. Records are downloaded and analyzed in real time. Please check your MTMT or SCOPUS accounts to make sure that all your publications are listed there.

Scientometrics uses complete calendar years because only this allows the comparison to the reference dataset. Thus, new papers and new citations only go live in January each year.

Most probably your browser uses previously downloaded data from the local cache. Please press CTRL+SHIFT+R simultaneously, which will empty the browser's cache for the homepage currently open. Then, re-run the entire analysis. If the problem persists, please check that the publication list is complete - scientometrics.org can only use the publications which are accessible in the OpenAlex/SCOPUS/MTMT repositories. The list of all available publications can be checked by using the "Download table" function.

Scientific performance might be influenced by factors that take up the researcher's time. User-suggested examples include: 1) maternity leave, 2) early publications during graduate studies, 3) military service, 4) prolonged illness, 5) career break, 6) university teaching work, 7) switchover between disciplines, and others. We advise using this option with caution as none of these factors is available for the other researchers. When adjusting for all possible factors, each researcher would be assigned to a one-man cluster making objective comparison pointless.

The site scientometrics.org does not store publications, nor does it store citations, instead, all data is dynamically fetched in real-time from OpenAlex/Scopus/MTMT. We do not store the name, the analysis exclusively operates with the name inputted by the user. We do not possess any access to personal data stored in OpenAlex/Scopus/MTMT, and no such data is acquired or stored. The analyses solely utilize publicly available data.

Once the name is entered, the identifier(s) for the entered name are retrieved in real time from OpenAlex/Scopus/MTMT. The user then selects the OpenAlex/Scopus/MTMT identifier and the files are downloaded to a temporary folder for that search. The downloaded files are used to perform the analysis and the results are displayed in the page, and the downloaded files are deleted from the temporary folder. For professional details about the analysis please read our reference publication. Once the analysis is complete, all utilized data is deleted. At the time the result is displayed (when the results page completed loading), we no longer have any data of this search. A "reload" will result in a blank page.

The site scientometrics.org does not collect or store any information about visitors of the site. No log of visitor activity is created or stored. This does not include data collected by Google Analytics which is used to analyze site visitor trends.

Scientometrics.org only uses data from OpenAlex/Scopus/MTMT. Researchers removed from OpenAlex/Scopus/MTMT will also not be present in scientometrics.org.

Researchers not present in OpenAelx/Scopus/MTMT can be analyzed by manually entering their data using the "Add custom researcher" option. Please save the results, because we do not save the entered data.

Please write to the corresponding author in our reference publication.

Scienetometrics.org is maintained and operated in London, United Kingdom.

The algorithm utilized by scienetometrics.org was developed as a collaboration of researchers from the

- Semmelweis University;

- University of Pecs;

- HUN-REN Research Network;

- and Budapest Business School.

We thank Scopus (Elsevier) and MTMT (Hungarian Academy of Sciences) for providing APIs and access to the data used in the analysis.

To contact the project PI, please see the email address in our reference publication.

User support (please include MTMT ID in email): makovsky.zsuzsanna/at/med.semmelweis-univ.hu