J. Abdul Jaleel

403 citations
28 papers · 261 indexed · h-index 8
Topics
Power System Optimization and Stability (6 papers)AI in cancer detection (5 papers)Frequency Control in Power Systems (4 papers)
Partner nations
United StatesIndiaPoland

In The Last Decade

J. Abdul Jaleel

26 papers receiving 226 citations

Peers

J. Abdul Jaleel
Comparison fields: 5 of 55
  • Artificial Intelligence 109
  • Oncology 108
  • Control and Systems Engineering 48
  • Electrical and Electronic Engineering 46
  • Computer Vision and Pattern Recognition 36
Replace Attiq Ur Rehman with:
Attiq Ur Rehman China
Hermes Loschi Brazil
Hassan Aqeel Khan Pakistan
G. Karuna India
Mohammed Aloraini Saudi Arabia
Reinaldo Padilha França Brazil
Alan Marchiori United States
Chanh D. Tr. Nguyen Vietnam
Steven Q. H. Truong Vietnam
Renjun Shuai China
J. Abdul Jaleel relative to Attiq Ur Rehman China Attiq Ur Rehman's profile →
Citations per field
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Countries citing papers authored by J. Abdul Jaleel

Since Specialization
Citations

This map shows the geographic impact of J. Abdul Jaleel's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by J. Abdul Jaleel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Abdul Jaleel more than expected).

Fields of papers citing papers by J. Abdul Jaleel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. Abdul Jaleel. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by J. Abdul Jaleel. The network helps show where J. Abdul Jaleel may publish in the future.

Co-authorship network of co-authors of J. Abdul Jaleel

This figure shows the co-authorship network connecting the top 25 collaborators of J. Abdul Jaleel. A scholar is included among the top collaborators of J. Abdul Jaleel based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with J. Abdul Jaleel. J. Abdul Jaleel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 3
3 2
4 2
5 2
6 15
7 3
8 1
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10 6
11 7
12 3
13 60
14 2
15 2
16
Artificial Neural Network Based Detection of Skin Cancer
41
17
Simulation on Maximum Power Point Tracking of the Photovoltaic Module using LabVIEW
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18 0
19 24
20 16

About J. Abdul Jaleel

J. Abdul Jaleel is a scholar working on Control and Systems Engineering, Bioengineering and Management Information Systems, having authored 28 papers that have together received 261 indexed citations. Recurring topics across this work include Power System Optimization and Stability (6 papers), AI in cancer detection (5 papers) and Frequency Control in Power Systems (4 papers). The work is most often cited by research in Oncology (108 citations), Artificial Intelligence (109 citations) and Biophysics (13 citations). J. Abdul Jaleel has collaborated with scholars based in United States, India and Poland. Frequent co-authors include Archana Singh, Kristen Gardner, Sherwin Doroudi and Anshul Gandhi. Their work appears in journals such as ACM SIGMETRICS Performance Evaluation Review, Queueing Systems and International Review of Automatic Control (IREACO).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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