Science Explorer Back to mapMap
Discussion
Researcher · University of South Africa · South Africa

Aneerav Sukhoo

Aneerav Sukhoo publishes mostly in Information Systems, Artificial Intelligence and Management Information Systems, on topics such as Natural Language Processing Techniques, Software Engineering Techniques and Practices and Software Engineering Research.

ORCID 0000-0002-4077-0611 OpenAlex
World rank
#2,434,167
of 7,710,434 ranked researchers
Rank in South Africa
#10,400
of 29,826
Works
20
Citations
223
Citations per work
11.2
h-index
7
i10-index 3Top 37% in Information Systems
Aneerav Sukhoo

What does Aneerav Sukhoo research?

Aneerav Sukhoo's work is mostly in Computer Science (41%), Business, Management and Accounting (16%), Engineering (8%).

Physical Sciences: 10 works · 49.0% of their workComputer Science: 8 works · 41.2% of their workInformation Systems: 4 works · 21.6% of their workArtificial Intelligence: 3 works · 15.7% of their workComputer Science Applications: 1 works · 3.9% of their workEngineering: 2 works · 7.8% of their workMedia Technology: 2 works · 7.8% of their workEverything else: 6 works · 29.4% of their workSocial Sciences: 4 works · 21.6% of their workBusiness, Management and Accounting: 3 works · 15.7% of their workManagement Information Systems: 3 works · 15.7% of their workArts and Humanities: 1 works · 5.9% of their workLanguage and Linguistics: 1 works · 5.9% of their workTHEIR WORKAneerav Sukhoo20works
Physical Sciences49%Social Sciences22%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Computer Science841.2%
    2. Engineering27.8%
  2. Everything else629.4%
    1. Business, Management and Accounting315.7%
    2. Arts and Humanities15.9%
  1. 1Information Systems22% of their works
  2. 2Artificial Intelligence16% of their works
  3. 3Management Information Systems16% of their works
  4. 4Media Technology8% of their works
  5. 5Language and Linguistics6% of their works
  6. 6Computer Science Applications4% of their works

Research topics

Which keywords describe Aneerav Sukhoo's research?

The keywords of their largest research topics: Corpus Linguistics, Agile Software Development, Empirical Studies, Neural Machine Translation, Statistical Machine Translation, Code Clone Detection, Economic Development and Refactoring.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.

All 18 words, with their numbers
  1. Corpus Linguistics82 topics
  2. Agile Software Development61 topic
  3. Empirical Studies61 topic
  4. Neural Machine Translation61 topic
  5. Statistical Machine Translation61 topic
  6. Code Clone Detection41 topic
  7. Economic Development41 topic
  8. Refactoring41 topic
  9. Supply Chain Management42 topics
  10. Telecommunications41 topic
  11. Analytics21 topic
  12. Big Data21 topic
  13. Innovation21 topic
  14. Offshoring21 topic
  15. Open Source Software21 topic
  16. Outsourcing21 topic
  17. Translation21 topic
  18. Translator Competence21 topic

Where does Aneerav Sukhoo work?

Aneerav Sukhoo's main affiliation in the publication record is University of South Africa, South Africa.

How many publications and citations does Aneerav Sukhoo have?

OpenAlex counts 20 works and 223 citations for Aneerav Sukhoo, an h-index of 7, ranking #2,434,167 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

Discussion

Ask a question or share a note about Aneerav Sukhoo. Posts are plain text and can be reported.