Christian N Sodano

Bluesky Github Email

Collaborations

I'm openly exploring collaborations, so please reach out if are looking for collaborators to:

  • Turn basic analysis scripts/forensic tools into interactive tools that can help the scientific community
  • Aggregate scholarly fulltext and metadata for textual analyses or systematic reviews
  • Explore metascientific questions that require natural language processing of scholarly text
  • Write grant proposals for projects in the fields of scientific error detection or scientometrics

Summary

I’m a researcher currently studying topics in the emerging field of forensic scientometrics1 and developing tools to detect and prevent breaches of research integrity including questionable research practices, statistical and methodological errors, and fraud.

My current projects in this area focus on automating reproducibility checks, detecting so-called paper-mills (businesses conducting for-profit research fraud at large-scale) and journal hijackings, as well as authors who game citations for personal benefit and papers that are unknowingly citing discredited research.

Jobs

I am currently on a job search. If you lead a research group and are looking for new research staff or a doctoral candidate, or if you lead a research integrity team at an academic publisher, please reach out! I would love to talk more! (cnsodano@gmail.com)

Techniques

I use openly accessible APIs to extract and analyze scholarly metadata from a variety of sources (Scopus, OpenAlex, Crossref) and analyze trends. I also perform natural language processing on full-text data of open access articles (e.g. PubMed Open Access Corpus) and peer reviews. I have implemented anomaly detectors using various techniques, including data-driven approaches, time-frequency techniques, and neural networks.