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Researcher · Universidade do Porto · Portugal

João Manuel Portela da Gama

João Manuel Portela da Gama publishes mostly in Artificial Intelligence, Signal Processing and Information Systems, on topics such as Data Stream Mining Techniques, Anomaly Detection Techniques and Applications and Machine Learning and Data Classification.

ORCID 0000-0003-3357-1195 OpenAlex
World rank
#113,442
of 7,710,434 ranked researchers
Rank in Portugal
#225
of 41,760
Works
615
Citations
23k
Citations per work
37.9
h-index
62
i10-index 246Top 0.5% in Artificial Intelligence
João Manuel Portela da Gama

What does João Manuel Portela da Gama research?

João Manuel Portela da Gama's work is mostly in Computer Science (61%), Decision Sciences (4%), Physics and Astronomy (4%).

Physical Sciences: 398 works · 64.7% of their workComputer Science: 375 works · 61.0% of their workArtificial Intelligence: 255 works · 41.4% of their workSignal Processing: 50 works · 8.2% of their workInformation Systems: 45 works · 7.3% of their workComputer Networks and Communications: 25 works · 4.1% of their workPhysics and Astronomy: 23 works · 3.7% of their workStatistical and Nonlinear Physics: 23 works · 3.7% of their workEverything else: 194 works · 31.5% of their workSocial Sciences: 23 works · 3.8% of their workDecision Sciences: 23 works · 3.8% of their workManagement Science and Operations Research: 23 works · 3.8% of their workTHEIR WORKJoão ManuelPortela da Gama615works
Physical Sciences65%Social Sciences4%

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 Science37561.0%
    2. Physics and Astronomy233.7%
  2. Everything else19431.5%
    1. Decision Sciences233.8%
  1. 1Artificial Intelligence41% of their works
  2. 2Signal Processing8% of their works
  3. 3Information Systems7% of their works
  4. 4Computer Networks and Communications4% of their works
  5. 5Management Science and Operations Research4% of their works
  6. 6Statistical and Nonlinear Physics4% of their works

Research topics

Which keywords describe João Manuel Portela da Gama's research?

The keywords of their largest research topics: Concept Drift, Data Streams, Deep Learning, Time Series, Classification, Anomaly Detection, Unsupervised and Hyperparameter Optimization.

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 19 words, with their numbers
  1. Concept Drift2251 topic
  2. Data Streams2251 topic
  3. Deep Learning1982 topics
  4. Time Series1982 topics
  5. Classification1392 topics
  6. Anomaly Detection1091 topic
  7. Unsupervised1091 topic
  8. Hyperparameter Optimization1021 topic
  9. Noisy Labels1021 topic
  10. Clustering891 topic
  11. Dynamic Time Warping891 topic
  12. Data Mining781 topic
  13. Frequent Patterns781 topic
  14. Community Structure441 topic
  15. Network Dynamics441 topic
  16. GPS Trajectories391 topic
  17. Trajectory Data Mining391 topic
  18. Imbalanced Data371 topic
  19. SMOTE371 topic

Where does João Manuel Portela da Gama work?

João Manuel Portela da Gama's main affiliation in the publication record is Universidade do Porto, Portugal.

How many publications and citations does João Manuel Portela da Gama have?

OpenAlex counts 615 works and 23,334 citations for João Manuel Portela da Gama, an h-index of 62, ranking #113,442 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.

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