Widget reference

Biblium contributes 81 widgets, grouped by analysis stage. Each page documents the inputs, outputs, controls and messages.

Data input & preparation

• Bibliographic Data — Load bibliometric data from files, OpenAlex API, or SICRIS/COBISS

• OpenAlex Enrichment — Add OpenAlex metadata (citations, OA, topics, SDGs, refs) by DOI

• Semantic Scholar — Enrich by DOI with S2 citations, influential cites, fields, TLDR

• Open Access Finder — Find free full-text (PDF) for papers by DOI via OpenAlex

• Deduplicate & Merge — Detect and remove duplicate records and merge exports from

• Filter — Filter records with simple/compound numeric, text, regex and Bradford criteria

• Setup Groups — Define document groups for comparative analysis

• Text Preprocessing — Lemmatize and remove stopwords (with an extended stopword file)

Overview, counts & statistics

• Main Information — Compute comprehensive bibliometric statistics and dataset overview

• Bibliometric Counts — Count occurrences of entities (authors, keywords, sources, etc.) in bibliographic data

• Bibliometric Statistics — Compute performance indicators (H-index, G-index, etc.) for bibliometric entities

• Performance Plot — Performance plot (bar / scatter / projection) of an entity-statistics table

• Bibliometric Laws — Analyze Lotka, Bradford, Zipf, Price, and Pareto bibliometric laws

• Production Plot — Visualize scientific production with bar and line charts

• Top Cited — Global and local top-cited documents

• Reference Diversity — Shannon/Simpson/Rao-Stirling diversity of each paper

Time, trends & dynamics

• Trend Analysis — Analyze temporal patterns and trends in your data

• Trend Topics — Analyze trending topics ordered by median publication year

• Top Items Timeline — Bubble plot showing entity production over time

• Entity Over Time — Analyze production over time of authors, keywords, sources

• Life Cycle Analysis — Analyze the life cycle of scientific production using logistic growth model

• RaceBar — Animated bar-chart race of top items over time

• Burst Detection — Detect bursts of activity in keywords over time (Kleinberg)

• Hot Topics — Emerging topics by recent activity and citation momentum

Citation analysis

• Citation Distribution — Analyze citation distribution and impact metrics

• Citation Velocity — Citation accumulation speed and trend classification per paper

• Citation Patterns — Classify papers by citation trajectory

• Disruption Index — Measure whether papers consolidate or disrupt fields

• Self-Citation Rate — Author and journal self-citation rates from the within-corpus citation network

• Sleeping Beauty — Detect papers with delayed recognition (dormant period followed by awakening)

• Sleeping Beauty Plot — Interactive visualization of sleeping beauty detection results

• CiteSpace Metrics — Pivotal nodes (betweenness), burstness, sigma and labelled clusters

Text, topics & concepts

• Concept Builder — Create binary concept variables from keywords

• PA Concepts — Create Public Administration paradigm indicators

• Topic Modeling — Latent topics (LDA / NMF / LSA): top terms, coherence, doc-topic weights

• Dynamic Topic Models — Topic evolution over time with trajectories (sequential LDA)

• Thematic Map — Strategic diagram showing research themes by centrality and density

• Thematic Evolution — Alluvial flow of strategic themes across time periods

• Conceptual Drift — How the meaning/context of terms shifts over time

• Novelty Metrics — Uzzi-style combinatorial novelty and atypicality per paper

• Methodology Classifier — Classify paradigm, designs, data sources and methods per paper

• Research Classifier — Keyword classification of documents by theory/framework,

• Research Gaps — Identify under-studied (SDG/geographic/methodological/temporal) gaps

Networks

• Network Co-occurrence — Build co-occurrence networks from bibliographic data

• Plot Bibliometric Network — Plot a bibliometric co-occurrence network: nice layout, largest components, node selection and Pajek export

• Field Networks — Normalised field co-occurrence heatmap, disparity-filter

• Citation Network — Document citation network with main path analysis

• Historiograph — Chronological document citation network (HistCite / CiteNet Explorer style)

• Co-citation Network — Network of references cited together (intellectual base)

• Bibliographic Coupling — Network of papers sharing references (needs OpenAlex refs)

• Collaboration Network — Country collaboration network from co-authored affiliations

• Main Path Analysis — Main path of knowledge flow (SPC/SPLC/SPNP) from OpenAlex citations

• Diachronic Network — Animated co-occurrence network growing over time

• Embedding Landscape — 2-D semantic map of documents (embeddings + clustering)

• Entity Relationships — Analyse co-occurrence relationships between two entity types:

• K-Fields Plot — Visualize relationships between K bibliometric fields using Sankey diagram

Geography, SDG & disciplines

• Geographic Analysis — Per-country metrics (documents, citations, collaboration) with map coordinates

• Discipline Analysis — Profile a corpus across OpenAlex domains / fields / subfields

• SDG Identifier — Identify Sustainable Development Goals in your dataset

• SDG Networks — Co-occurrence network of Sustainable Development Goals + bridge papers

• SDG Drift — How the vocabulary of each SDG drifts across time windows

Groups, comparison & inference

• Group Counts — Count and compare entity frequencies across document groups

• Group Counts Plot — Interactive horizontal bar chart comparing entity

• Group Statistics — Compute performance statistics (counts, fractions, ranks,

• Group Intersections — Analyze document overlap between groups

• Group Associations — Analyse entity–group relationships: contingency, diversity, CA,

• Crosstabs — Contingency table with chi-squared test and effect sizes

• Compare Means — Compare a numeric variable across groups (t-test/ANOVA + post-hoc)

• Comparative Analysis — Compare groups (by a column) across bibliometric metrics

• Benchmarking — Compare dataset distributions against global research patterns

• Permutation Inference — Permutation tests of group×entity association — valid for

• Logistic Regression — Binary logistic regression (coefficients, p-values, odds ratios)

• Factorial Analysis — MCA, CA, PCA with clustering and visualization

• Document Clustering — Cluster documents by text (and optionally shared references)

Niche, external & output

• Altmetrics Analysis — Analyze alternative impact metrics beyond citations

• Open Science — Open access, data/code availability, preprints, preregistration

• Integrity Audit — Screen for integrity red flags (tortured phrases, retractions, anomalies)

• AI Describe — Generate a natural-language description of a table with an LLM

• Literature Matrix — Extract structured fields from each paper into a review matrix (LLM)