Knowledge Mapping

Organize research. Map knowledge. See connections.

Build literature reviews, map citation networks, and organize research findings in a graph-based knowledge management tool with structured notes.

Literature review organization

Systematic literature reviews require organizing dozens or hundreds of papers by theme, methodology, findings, and relationships to each other. MemoryJar's graph view lets researchers create paper nodes with rich-text notes containing abstracts, key findings, methodological observations, and critical assessments. Link papers to thematic nodes, methodological categories, and conceptual frameworks. The graph reveals clusters of related work, citation gaps, and methodological trends that are invisible in a flat reference manager. The outline view provides the traditional hierarchical organization that review chapters demand — organize by theme, by chronology, or by methodology, while the graph view shows the cross-cutting connections. Switch between views seamlessly as your review evolves from initial survey to structured argument.

Citation network visualization

Understanding how ideas flow through a field requires mapping the citation relationships between papers, authors, and research groups. MemoryJar's typed entities let you create separate nodes for papers, authors, institutions, and concepts, then map the relationships between them — cites, extends, contradicts, replicates, collaborates with. The graph view makes it immediately apparent which papers are foundational (many incoming citations), which are synthesizing (citing across subfields), and which are isolated. Attach notes documenting the specific contribution of each paper and how it relates to your own research question. This approach goes beyond what automated citation tools provide because you are mapping the intellectual relationships, not just the bibliographic ones.

Conceptual framework development

Building a conceptual framework is fundamentally a graph problem — concepts relate to other concepts through theoretical relationships. MemoryJar lets researchers build conceptual frameworks as navigable graphs where each concept node carries rich-text notes defining the concept, documenting its theoretical origins, and noting how it has been operationalized in prior work. The edges between concepts represent theoretical relationships — causes, mediates, moderates, precedes — creating a visual model of your theoretical framework. As your research progresses, the framework evolves — add new concepts, revise relationships, and document the reasoning behind each change in the attached notes. The outline view provides a parallel linear structure for writing up the framework in traditional academic prose.

Research data relationship mapping

Qualitative and mixed-methods research generates complex, interrelated data. MemoryJar helps researchers map the relationships between data sources, codes, themes, categories, and theoretical constructs. Create nodes for interview participants, observation sites, documentary sources, and survey instruments. Link them to the codes and themes they contribute to. The graph reveals which data sources support which themes, where data triangulation is strong, and where additional data collection is needed. Each node's rich-text notes panel provides space for memos, reflexive observations, and analytical notes — the core practice of qualitative research — organized spatially alongside the data structure rather than buried in a separate document.

Key features for research & academia

  • Graph-based literature review organization
  • Citation network visualization with typed relationships
  • Conceptual framework modeling
  • Qualitative data coding and theme mapping
  • Rich-text notes with image embedding per node
  • Outline view for traditional academic structure
  • Portable desktop app — works offline
  • Export to JSON/Markdown for papers and theses
Start mapping your research

From $60/mo · Flat Team rate · Windows, macOS, Linux