Service overview
Twenty review formats, from systematic and scoping reviews to meta-analyses and landscape reviews. This service is part of that division and is scoped individually around what you need to learn, decide or publish.
Systematic mapping studies classify the literature along defined dimensions, such as research type, method, application domain and year, to give an overview of a field. They are common in software engineering and increasingly in other engineering areas. The output is a structured picture of the field and a list of gaps, rather than an answer to what works.
Their rigour lies in the classification scheme and the transparent process of building it. A scheme built on the authors' hunches produces maps that others cannot reproduce. Support for mapping manuscripts concentrates on developing and justifying the classification, presenting maps clearly and reading trends and gaps carefully.
What this service covers
Problems this service can address
- Classification schemes that are ad hoc
- Dimensions that do not reveal patterns
- Visualisations without interpretation
Methods and analytical approaches
- Classification-scheme development
- Bubble and heat-map style visualisation
- Trend and gap reading
- Reporting of procedure
Applications
- Software and engineering-method mapping studies
- Technology classification
- Thesis overviews
Relevant engineering disciplines
Scope, inputs and deliverables
Scope of work
- Assessment of your material: data, methods, draft and target venue
- Structuring and drafting or editing strictly from your supplied results and methods
- Consistency and source checks on text, tables, figures and references
- Journal-formatted files and a submission checklist
- Feasibility check on: corpus and classification categories
Typical inputs required from you
- Corpus and classification categories
- Search records
- Draft
Deliverables
- Mapping-study manuscript
- Classification tables and figures
- Gap discussion
Highly specialised requests are first checked for feasibility from this information. Please do not send confidential data through the public form; describe it first and agree secure transfer afterwards.
Project workflow and method
- 01Enquiry and requirement assessment
- 02Technical scoping and proposal
- 03Execution
- 04Quality review and delivery, with an agreed round of revisions
Read the full project workflow.
In depth: how the work is done
Formulating mapping questions
Typical questions ask what topics are researched, which methods and venues are used, how research has changed over time and where gaps exist. Each question corresponds to dimensions of the classification scheme. We help authors state questions that can be answered by classification.
Developing the classification scheme
Schemes can be built from existing taxonomies or bottom-up, by keywording abstracts and clustering terms. The scheme is refined through pilot classification. The manuscript describes the process, the final categories and their definitions, and the agreement between classifiers.
Search, screening and data extraction
The search and selection process is documented in detail, with inclusion and exclusion criteria, the databases and the number of studies at each stage. Extraction forms collect classification data. We help authors report quality control steps.
Visualising maps
Bubble plots, heat maps and bar charts show the distribution of studies across dimensions. Combined views, such as method by year, reveal trends. Figures should be readable, with counts shown and definitions of categories accessible. We advise on design and on providing underlying data.
Reading trends and gaps
Trends over time should be interpreted cautiously, taking into account database indexing delays and the overall growth of publication. Gaps are combinations with few studies; the discussion explains why they may exist and whether filling them is valuable.
Threats to validity
Mapping studies have threats such as incomplete search, selection bias, classification subjectivity and publication bias. Listing them and describing mitigation, such as piloting and independent classification, demonstrates awareness.
Reproducibility and data sharing
Sharing the list of included studies with classifications as a supplementary file allows replication and extension. A clear data dictionary explains each variable. This is increasingly expected.
Choosing between mapping, scoping and systematic review
Mapping studies, scoping reviews and systematic reviews address different aims. If the goal is to classify and count, a mapping study fits; if it is to explore a broad concept, a scoping review; if it is to answer a focused question with synthesis, a systematic review. We help authors confirm that the chosen design matches their aims, which prevents reviewer objections that the paper promises one thing and delivers another.
Using the map to plan primary research
For doctoral students and research groups, a mapping study can justify and shape a primary research agenda. The manuscript can state how the map informed choices of topic, method or setting. Linking the findings to concrete research questions makes the contribution more than descriptive and shows readers how to use the map.
Handling studies that fit several categories
Some studies address multiple topics or methods, which complicates classification. The manuscript should state the rule used: single primary category, multiple categories with counts for each, or weighted classification. The rule affects totals and visual impressions. We help authors apply the rule consistently and describe it so that readers can interpret the maps correctly.
Quality control and good practice
Quality-control approach
- Every statement, number and reference is checked against your supplied data and the original sources.
- No data, results, citations or author contributions are invented; gaps are flagged to you.
- Authorship and contribution decisions stay with you and your co-authors, and the use of AI tools is disclosed where journals require it.
- Journal guidelines and reporting checklists are followed; acceptance is never promised.
Common pitfalls this service helps avoid
- Classification scheme not justified. Others cannot reproduce or evaluate the map.
- Reading trends from raw counts. Overall growth and indexing delays can distort trends.
- Gap claims without reasoning. Empty cells are not automatically opportunities.
- No threats to validity. Readers expect an assessment of limitations.
What good reporting looks like
Support for a mapping study manuscript is documented with a classification-scheme description, an agreement report from the authors, a threats-to-validity list and a data-sharing note. The authors build and apply the scheme. We do not invent studies or counts and offer no acceptance guarantee.
An illustrative scenario
Hypothetical example written for explanation. It is not a client case, a result or a testimonial.
Imagine authors mapping research on digital-twin applications in construction by lifecycle stage, technology and validation level. The map shows many conceptual studies at the design stage and few with validation in operation. A trend over years appears to show growth, but the authors normalise by total publications and find that the share is stable. The discussion reflects this correction.
Questions to settle before you begin
- How did I develop my classification scheme?
- Were classifications checked independently?
- Are my trends normalised?
- Why might gaps exist?
- Can others reuse my classified dataset?
Key terms
- Mapping study
- A systematic classification of a body of literature.
- Classification scheme
- A set of categories used to classify studies.
- Bubble plot
- A chart where bubble size shows counts.
- Threat to validity
- A factor that may weaken conclusions.
- Data dictionary
- A description of dataset variables.
Working together on Review Article Writing projects
Review article engagements begin by choosing the review type that fits the question, because systematic, scoping, narrative and bibliometric reviews have different methods and reporting expectations. We ask for the topic, the target journal and any searches or papers you already have. The method is documented so that the review can be audited, and every source cited is checked against the original. We do not invent references or studies, and we state limitations such as database coverage. Acceptance depends on editors and reviewers and cannot be promised.
Frequently asked questions
What distinguishes a mapping review?
It classifies and counts the literature to reveal structure; it typically does not appraise findings in depth.
How does a mapping study differ from a systematic review?
It classifies and counts studies instead of synthesising their findings.
Is quality appraisal required?
Usually not, but this should be stated.
Can you suggest classification categories?
We can help structure categories from the material you provide; authors decide and apply them.
Where are mapping studies published?
In engineering and software journals and conferences that accept secondary studies.
Does ENGRexpert guarantee acceptance in a journal?
No. Editors and reviewers decide. We support the clarity, rigour and fit of your manuscript and never promise an outcome.
How is this service scoped and priced?
After your enquiry we review what you need, ask for missing information and send a written scope and quotation. Price depends on complexity, deliverables and timeline. See the project workflow.