# Martin Neil

> researcher ORCID ID = 0000-0002-4922-0843

**Wikidata**: [Q58824351](https://www.wikidata.org/wiki/Q58824351)  
**Source**: https://4ort.xyz/entity/martin-neil

## Summary
Martin Neil is a male computer scientist and researcher affiliated with Queen Mary University of London. He is known for his work in computer science and maintains an active academic presence through publications and online platforms.

## Biography
- Born: Not specified
- Nationality: Not specified
- Education: Not specified
- Known for: Computer science research and academic contributions
- Employer(s): Queen Mary University of London
- Field(s): Computer science

## Contributions
Martin Neil has established himself as a researcher in computer science, with his work documented through his ORCID ID (0000-0002-4922-0843). He maintains an academic website at http://www.eecs.qmul.ac.uk/~martin/ and has a presence on Twitter (@MartinNeil9) with over 17,000 followers as of February 2023. His research is indexed in major academic databases including Scopus (author ID: 56211655200) and DBLP (author ID: 95/3981). Neil's work is recognized in the academic community through his affiliation with Queen Mary University of London and his inclusion in the Gateway to Research database (person ID: 66E9AC19-B73F-45AA-8373-F84BEB4C0147).

## FAQs
### Q: What is Martin Neil's primary occupation?
A: Martin Neil is a computer scientist and researcher, currently affiliated with Queen Mary University of London.

### Q: Where can I find Martin Neil's academic work?
A: Martin Neil's academic work can be found through his ORCID ID (0000-0002-4922-0843), his university website at http://www.eecs.qmul.ac.uk/~martin/, and major academic databases like Scopus and DBLP.

### Q: Is Martin Neil active on social media?
A: Yes, Martin Neil maintains a Twitter account (@MartinNeil9) with over 17,000 followers as of February 2023.

## Why They Matter
Martin Neil contributes to the field of computer science through his research and academic work at Queen Mary University of London. His presence in major academic databases and his active engagement with the research community through social media platforms demonstrates his commitment to sharing knowledge and connecting with peers. As a researcher with a documented ORCID ID and multiple academic identifiers, Neil plays a role in advancing computer science research and maintaining the scholarly record in his field.

## Notable For
- Researcher with ORCID ID 0000-0002-4922-0843
- Academic affiliation with Queen Mary University of London
- Active presence on Twitter with over 17,000 followers
- Indexed in major academic databases (Scopus, DBLP)
- Documented in the Gateway to Research database

## Body
### Academic Profile
Martin Neil's academic credentials are established through his ORCID identifier (0000-0002-4922-0843), which serves as a unique identifier for his research output and scholarly contributions. His work is cataloged in major academic databases, including Scopus (author ID: 56211655200) and DBLP (author ID: 95/3981), indicating a substantial publication record in computer science.

### Professional Affiliation
Neil is employed by Queen Mary University of London, where he conducts research and contributes to the academic community. His university profile is accessible through the official Queen Mary website at http://www.eecs.qmul.ac.uk/~martin/, providing a platform for sharing his research and connecting with colleagues.

### Online Presence
Martin Neil maintains an active presence on Twitter under the handle @MartinNeil9, where he has accumulated over 17,000 followers as of February 2023. This social media engagement suggests active participation in academic discourse and knowledge sharing within the computer science community.

### Research Documentation
Neil's research activities are documented in the Gateway to Research database (person ID: 66E9AC19-B73F-45AA-8373-F84BEB4C0147), which catalogs research projects and outputs in the UK. This inclusion indicates that his work meets the standards for research documentation and contributes to the broader research landscape.