Navigating academic databases requires understanding how indexing metadata shapes research discoverability. When publishing scholarly work, researchers often encounter two distinct metadata layers: author keywords and Keywords Plus. Grasping how these systems operate helps writers optimize their articles for academic search engines and bibliometric tracking.
Author keywords are terms hand-picked by writers to summarize their core research concepts. Keywords Plus are automated terms generated by database algorithms—specifically within platforms like Web of Science—by analyzing the titles of an article's cited references. While both categories aim to connect users with relevant literature, their creation process, level of control, and functional impact differ significantly.
Core Definitions and Creation Processes
The fundamental distinction between these metadata types lies in their origin. One relies on human curation, while the other stems from algorithmic extraction.
Author keywords represent the creator's direct attempt to label their study. During manuscript submission, writers select terms they believe capture their primary methodology, subject, and contribution. These tags reflect the active terminology used within a specific niche. Writers choose them based on current discourse, professional jargon, and target audience expectations.
Keywords Plus, introduced by Clarivate for Web of Science indexing, take a completely automated approach. The algorithm scans the titles of all references cited within the published manuscript. It identifies recurring words or phrases that appear frequently across those reference titles but do not necessarily show up in the main article title itself. The system then ranks these terms and assigns the top results to the indexed record. Because this process relies entirely on cited literature, authors have zero direct input or editing power over Keywords Plus.
Control and Specificity
Control is the most immediate operational difference for researchers preparing a manuscript.
With author keywords, you hold complete autonomy. If your study introduces a novel theoretical framework or a proprietary software tool, you can inject those exact terms into your metadata. This precision helps capture micro-niche traffic from peers searching for exact technical terminology.
Keywords Plus remove this editorial control. Because the database algorithm generates them post-publication based on bibliography analysis, the resulting terms can sometimes feel disconnected from the immediate study. For example, if a paper focuses on a narrow regional case study in renewable energy but cites broad macroeconomic literature, Keywords Plus might pull broader economic terms into the record. This broadness casts a wider net, but it sacrifices granular accuracy.
Bibliometric Mapping and Discovery Impact
Beyond basic search queries, both metadata types serve distinct roles in bibliometric analysis and database indexing.
Author keywords excel at reflecting current trends in a specific field. When researchers analyze co-word networks to track how a discipline evolves, author keywords show the exact language emerging from active practitioners. They map the conscious evolution of a field's vocabulary.
Keywords Plus serve a different function in citation networks. By extracting terms from reference lists, they bridge conceptual gaps across different academic disciplines. Two papers might use entirely different author keywords for similar underlying phenomena, but if they cite overlapping foundational literature, Keywords Plus can link them together. This cross-disciplinary linkage helps database users discover relevant work they might miss through standard keyword searches alone.
- Author keywords prioritize human intent, immediate context, and granular specificity.
- Keywords Plus prioritize citation linkages, cross-disciplinary connections, and automated thematic expansion.
- Author keywords can be modified during manuscript revision; Keywords Plus remain entirely static.
Strategic Implications for Academic Writers
Understanding these mechanics allows researchers to structure their bibliographies more strategically. Because Keywords Plus rely directly on reference titles, the books and articles you cite influence how database algorithms categorize your paper.
Selecting references with clear, descriptive titles indirectly helps the automated indexing engine assign more accurate Keywords Plus to your work. Meanwhile, crafting precise author keywords ensures that database queries targeting your immediate niche find your paper without ambiguity. Combining deliberate human keyword selection with a well-constructed bibliography ensures comprehensive coverage across both manual and automated discovery channels.
For official documentation on database indexing standards, consult the Clarivate Support Center. To explore broader academic publishing guidelines, review resources provided by Taylor & Francis Author Services.
Frequently Asked Questions
Can I edit or request changes to my article's Keywords Plus?
No. Because Keywords Plus are generated automatically by proprietary algorithms based on your reference list, publishers and authors cannot manually edit, add, or remove them after indexing.
Do Keywords Plus replace author keywords?
They don't replace them; they complement them. Most indexing databases display both fields separately to support different types of search behaviors—targeted queries via author terms and broad discovery via citation mapping.
Why do some articles have author keywords but no Keywords Plus?
Keywords Plus require a processed list of cited references to function. If an article lacks a bibliography, contains unlinked references, or appears in a database version that doesn't support the feature, it will display author keywords without any algorithmically generated additions.
How many author keywords should I include?
Most journals enforce strict limits, usually ranging from four to eight terms. Focus on terms not already present in your title to maximize the unique semantic reach of your metadata.
