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Researcher · Fraunhofer-Gesellschaft · Germany

Nikola B. Serbedzija

Nikola B. Serbedzija publishes mostly in Computer Networks and Communications, Artificial Intelligence and Computer Vision and Pattern Recognition, on topics such as Context-Aware Activity Recognition Systems, Distributed and Parallel Computing Systems and Advanced Software Engineering Methodologies.

OpenAlex
World rank
#5,825,328
of 7,710,434 ranked researchers
Rank in Germany
#298,961
of 364,343
Works
49
Citations
230
Citations per work
4.7
h-index
7
i10-index 6Top 68% in Computer Networks and Communications
Nikola B. Serbedzija

What does Nikola B. Serbedzija research?

Nikola B. Serbedzija's work is mostly in Computer Science (58%), Psychology (4%).

Physical Sciences: 28 works · 58.0% of their workComputer Science: 28 works · 58.0% of their workComputer Networks and Communications: 9 works · 19.3% of their workArtificial Intelligence: 6 works · 12.6% of their workComputer Vision and Pattern Recognition: 6 works · 11.8% of their workHardware and Architecture: 5 works · 10.1% of their workInformation Systems: 2 works · 4.2% of their workEverything else: 19 works · 37.8% of their workSocial Sciences: 2 works · 4.2% of their workPsychology: 2 works · 4.2% of their workSocial Psychology: 2 works · 4.2% of their workTHEIR WORKNikola B.Serbedzija49works
Physical Sciences58%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 Science2858.0%
  2. Everything else1937.8%
    1. Psychology24.2%
  1. 1Computer Networks and Communications19% of their works
  2. 2Artificial Intelligence13% of their works
  3. 3Computer Vision and Pattern Recognition12% of their works
  4. 4Hardware and Architecture10% of their works
  5. 5Social Psychology4% of their works
  6. 6Information Systems4% of their works

Research topics

Which keywords describe Nikola B. Serbedzija's research?

The keywords of their largest research topics: High-Performance Computing, Deep Learning, Distributed Systems, Activity Recognition, Pervasive Computing, Grid Computing, Resource Management and Autonomic Computing.

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. High-Performance Computing172 topics
  2. Deep Learning162 topics
  3. Distributed Systems142 topics
  4. Activity Recognition111 topic
  5. Pervasive Computing111 topic
  6. Grid Computing91 topic
  7. Resource Management91 topic
  8. Autonomic Computing81 topic
  9. Parallel Computing81 topic
  10. Performance Optimization81 topic
  11. Self-Adaptive Systems81 topic
  12. Consistency51 topic
  13. Fault Tolerance51 topic
  14. Neural Networks51 topic
  15. Self-Organizing Maps51 topic
  16. Information Overload41 topic
  17. Interruptions41 topic
  18. Modular Robots41 topic
  19. Self-Reconfiguration41 topic

Where does Nikola B. Serbedzija work?

Nikola B. Serbedzija's main affiliation in the publication record is Fraunhofer-Gesellschaft, Germany.

How many publications and citations does Nikola B. Serbedzija have?

OpenAlex counts 49 works and 230 citations for Nikola B. Serbedzija, an h-index of 7, ranking #5,825,328 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.

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