Rethinking Employment Research on Autism: A Scientometric Analysis of Paradigm Change

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Dimitriou, D., Zhong, Y., Carollo, A., Esposito, G., & Almalky, H. A. (2026). Rethinking Employment Research on Autism: A Scientometric Analysis of Paradigm Change. Autism in Adulthood. https://doi.org/10.1177/25739581261433084

Publication date: 18 Mar 2026 Added to AutiHub: 24 Sep 2026 Type: Article Article language: English
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Authors

Publication authors
5
Publication authors identified as autistic
1 / 5 (20.0%)
  1. Dagmara Dimitriou
  2. Yiqing Zhong *
  3. Alessandro Carollo
  4. Gianluca Esposito
  5. Hussain A. Almalky

Abstract

Background: Autistic adults experience disproportionately low employment rates, shaped by systemic and structural barriers that extend beyond individual skills. Although research on autism and employment has grown, it remains fragmented across disciplines and undersynthesized. Addressing these gaps requires not only stronger empirical evidence but also reflection on how knowledge in this field is organized and shared. Methods: We analyzed 1279 publications on autism and employment (1982–2025) indexed in Scopus. Document co-citation analysis was conducted in CiteSpace, supported by citation burst detection, dual-map overlays, examination of journal productivity, and international collaboration. Results: The analysis revealed three broad stages of development: individual-focused intervention, sociocontextual framing, and organizational inclusion. Thematic clusters showed a shift from behavioral and skill-based interventions to neurodiversity-informed approaches, emphasizing discrimination, the double empathy problem, and inclusive employment practices. However, research remains fragmented, dominated by Western perspectives, and limited in autistic-led contributions. Conclusions: This scientometric review shows that autism and employment research have shifted from individual-focused interventions toward more systemic and neurodiversity-informed approaches, yet remain fragmented across disciplines and heavily concentrated in Western contexts. To address these gaps, future research should prioritize organizational-level inquiry (e.g., workplace norms, human resource practices, and evaluation systems), strengthen integration between psychology, organizational studies, and policy research, and expand participatory, autistic-led designs that are attentive to global and cultural diversity.

Bibliography cited by this reference

Cited references are imported from external metadata sources when they are available. The list may be partial.

Cited bibliography overview

These indicators describe the bibliography cited by this publication. An author name is counted each time it appears in one cited reference, so the same person can be counted more than once. Names not yet linked to an author already present in AutiHub are treated as unknown, not as non-autistic. Last computed: 2 Oct 2026 11:55.

Cited references
90
With a DOI
82
Without a DOI, from raw bibliography text
8
12 / 90 (13.3%) cited references include at least one author identified as autistic.
References with data to complete
5 / 90 (5.6%)
References with detected author names
85 / 90 (94.4%)
Without detected author names
5
Without a structured title
5
Without a stable identifier
8
References with raw author names still to review
5
References with external metadata lookup issues
0
These indicators apply to cited references displayed on this page, after technical duplicates have been merged. A reference without a DOI can still support author statistics when a title and author names are available.
Author names detected in the cited bibliography
323
From DOI or external metadata
323
From validated raw bibliography text
0
Raw names already validated
0
Raw names still to review
5
159 / 323 (49.2%) names are linked to an author already present in AutiHub. 164 / 323 (50.8%) names are not yet linked.
Names linked to a person identified as autistic
26 / 323 (8.0%)
Calculated across all author names detected in the cited bibliography. Among names linked to an author already present in AutiHub: 26 / 159 (16.4%). Distinct people identified as autistic: 22 / 264 (8.3%).
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