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Researcher · Third Wave Systems (United States) · United States

Eric Swidey

Eric Swidey publishes mostly in Artificial Intelligence, Safety Research and Political Science and International Relations, on topics such as Ethics and Social Impacts of AI, Explainable Artificial Intelligence (XAI) and Adversarial Robustness in Machine Learning.

ORCID 0009-0006-9399-9440 OpenAlex
World rank
#6,181,290
of 7,710,434 ranked researchers
Rank in United States
#1,486,028
of 1,627,098
Works
17
Citations
0
h-index
0
i10-index 0Top 100% in Artificial Intelligence
Eric Swidey

What does Eric Swidey research?

Eric Swidey's work is mostly in Computer Science (45%), Social Sciences (41%), Engineering (4%).

Physical Sciences: 9 works · 52.9% of their workComputer Science: 8 works · 45.1% of their workArtificial Intelligence: 8 works · 45.1% of their workEngineering: 1 works · 3.9% of their workSafety, Risk, Reliability and Quality: 1 works · 3.9% of their workMathematics: 1 works · 3.9% of their workDiscrete Mathematics and Combinatorics: 1 works · 3.9% of their workSocial Sciences: 7 works · 41.1% of their workSocial Sciences: 7 works · 41.1% of their workSafety Research: 6 works · 33.3% of their workPolitical Science and International Relations: 1 works · 7.8% of their workHealth Sciences: 1 works · 3.9% of their workMedicine: 1 works · 3.9% of their workHealth Informatics: 1 works · 3.9% of their workTHEIR WORKEric Swidey17works
Physical Sciences53%Health Sciences4%Social Sciences41%

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 Science845.1%
    2. Engineering13.9%
    3. Mathematics13.9%
    1. Social Sciences741.1%
    1. Medicine13.9%
  1. 1Artificial Intelligence45% of their works
  2. 2Safety Research33% of their works
  3. 3Political Science and International Relations8% of their works
  4. 4Safety, Risk, Reliability and Quality4% of their works
  5. 5Discrete Mathematics and Combinatorics4% of their works
  6. 6Health Informatics4% of their works

Research topics

Which keywords describe Eric Swidey's research?

The keywords of their largest research topics: Artificial Intelligence, Machine Learning, Big Data, Ethics, Fairness, Interpretable Models, Machine Learning Interpretability and Adversarial Examples.

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. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 19 words, with their numbers
  1. Artificial Intelligence273 topics
  2. Machine Learning273 topics
  3. Big Data212 topics
  4. Ethics171 topic
  5. Fairness171 topic
  6. Interpretable Models91 topic
  7. Machine Learning Interpretability91 topic
  8. Adversarial Examples61 topic
  9. Cyberbiosecurity61 topic
  10. Deep Learning61 topic
  11. Legal Implications61 topic
  12. Legal Technology41 topic
  13. Predictive41 topic
  14. Assurance Cases21 topic
  15. Fuzzy Fractal Dimensions21 topic
  16. Granular Data21 topic
  17. Safety Assurance21 topic
  18. Security Policies21 topic
  19. Side-Channel Attacks21 topic

Where does Eric Swidey work?

Eric Swidey's main affiliation in the publication record is Third Wave Systems (United States), United States.

How many publications and citations does Eric Swidey have?

OpenAlex counts 17 works and 0 citations for Eric Swidey, an h-index of 0, ranking #6,181,290 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation 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

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