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Researcher · Comilla University · Bangladesh

Md. Tofael Ahmed

Md. Tofael Ahmed publishes mostly in Artificial Intelligence, Renewable Energy, Sustainability and the Environment and Electrical and Electronic Engineering, on topics such as Photovoltaic System Optimization Techniques, Hate Speech and Cyberbullying Detection and Solar Thermal and Photovoltaic Systems.

ORCID 0000-0003-3591-5844 OpenAlex
World rank
#3,443,239
of 7,710,434 ranked researchers
Rank in Bangladesh
#5,650
of 14,256
Works
58
Citations
457
Citations per work
7.9
h-index
11
i10-index 11Top 37% in Artificial Intelligence
Md. Tofael Ahmed

What does Md. Tofael Ahmed research?

Md. Tofael Ahmed's work is mostly in Computer Science (41%), Energy (14%), Engineering (11%).

Physical Sciences: 38 works · 65.5% of their workComputer Science: 24 works · 40.7% of their workArtificial Intelligence: 11 works · 19.3% of their workComputer Networks and Communications: 6 works · 9.7% of their workSignal Processing: 4 works · 6.2% of their workInformation Systems: 3 works · 5.5% of their workEnergy: 8 works · 13.8% of their workRenewable Energy, Sustainability and the Environment: 8 works · 13.8% of their workEngineering: 6 works · 11.0% of their workElectrical and Electronic Engineering: 6 works · 11.0% of their workEverything else: 20 works · 34.5% of their workTHEIR WORKMd. Tofael Ahmed58works
Physical Sciences66%

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 Science2440.7%
    2. Energy813.8%
    3. Engineering611.0%
  2. Everything else2034.5%
  1. 1Artificial Intelligence19% of their works
  2. 2Renewable Energy, Sustainability and the Environment14% of their works
  3. 3Electrical and Electronic Engineering11% of their works
  4. 4Computer Networks and Communications10% of their works
  5. 5Signal Processing6% of their works
  6. 6Information Systems6% of their works

Research topics

Which keywords describe Md. Tofael Ahmed's research?

The keywords of their largest research topics: Machine Learning, Deep Learning, Renewable Energy, Solar Energy, Cyberbullying, Detection, IoT Security and Maximum Power Point Tracking.

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 23 words, with their numbers
  1. Machine Learning254 topics
  2. Deep Learning203 topics
  3. Renewable Energy162 topics
  4. Solar Energy162 topics
  5. Cyberbullying142 topics
  6. Detection142 topics
  7. IoT Security112 topics
  8. Maximum Power Point Tracking111 topic
  9. Photovoltaic Arrays111 topic
  10. Hate Speech91 topic
  11. Social Media91 topic
  12. Photovoltaic/Thermal Hybrid Technology71 topic
  13. Solar Thermal Collectors71 topic
  14. High Efficiency61 topic
  15. Intrusion Detection61 topic
  16. Multijunction Solar Cells61 topic
  17. Network Security61 topic
  18. Aggression51 topic
  19. Android Malware51 topic
  20. Bullying51 topic
  21. Forecasting51 topic
  22. Security Analysis51 topic
  23. Solar Radiation51 topic

Where does Md. Tofael Ahmed work?

Md. Tofael Ahmed's main affiliation in the publication record is Comilla University, Bangladesh.

How many publications and citations does Md. Tofael Ahmed have?

OpenAlex counts 58 works and 457 citations for Md. Tofael Ahmed, an h-index of 11, ranking #3,443,239 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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