Atul Kumar

23 papers receiving 315 citations

Peers

Atul Kumar
Comparison fields: 5 of 87
  • Health Information Management 66
  • Neurology 30
  • Biological Psychiatry 7
  • Physiology 70
  • Neurology 35
Replace Xinzhong Li with:
Xinzhong Li United Kingdom
Erfan Younesi Germany
K. Brandon Johnson United States
Ludwig Lausser Germany
Alzheimer’s Disease Neuroimaging Initiative United States
Steve Rodriguez United States
Yejin Kim United States
Lilia Mesrob France
S. Akila Parvathy Dharshini India
Atul Kumar relative to Xinzhong Li United Kingdom Xinzhong Li's profile →
Citations per field
00.5×3.7×
Xinzhong Li · 1×
Citations per year

Countries citing papers authored by Atul Kumar

Since Specialization
Citations

This map shows the geographic impact of Atul Kumar'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 Atul Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Atul Kumar more than expected).

Fields of papers citing papers by Atul Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Atul Kumar. 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 Atul Kumar. The network helps show where Atul Kumar may publish in the future.

Co-authors

The 25 scholars most cited alongside Atul Kumar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Atul Kumar Line = papers co-authored together Atul Kumar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202348
2 202446
3 201046
4 202130
5
Fuzzy Expert System for Diabetes using Fuzzy Verdict Mechanism
201129
6
Diagnosis of heart disease using Advanced Fuzzy resolution Mechanism
201327
7 202221
8 201717
9 202111
10 202311
11 201810
12 20208
13 20226
14 20135
15
Generating Rules for Advanced Fuzzy Resolution Mechanism to Diagnosis Heart Disease
20134
16 20243
17 20153
18 20213
19 20102
20
MULTI AGENT BASED APPROACH FOR NETWORK INTRUSION DETECTION USING DATA MINING CONCEPT
20121

About Atul Kumar

Atul Kumar is a scholar working on Physiology, Artificial Intelligence, Health Information Management, Information Systems and Genetics, having authored 23 papers that have together received 334 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (6 papers), Artificial Intelligence in Healthcare (5 papers), Fuzzy Logic and Control Systems (4 papers), Dementia and Cognitive Impairment Research (4 papers), Data Mining Algorithms and Applications (3 papers), Bioinformatics and Genomic Networks (3 papers), Genetics and Neurodevelopmental Disorders (2 papers) and Neurological Disease Mechanisms and Treatments (2 papers). The work is most often cited by research in Health Information Management (66 citations), Neurology (30 citations), Biological Psychiatry (7 citations), Physiology (70 citations) and Neurology (35 citations). Atul Kumar has collaborated with scholars based in Sweden, United States and India. Frequent co-authors include Sachidanand Singh, Oskar Hansson, Niklas Mattsson, Erik Stomrud, K. Panneerselvam, Sebastian Palmqvist, D. Jeya Sundara Sharmila, Shorena Janelidze, Divya Bali and Olof Strandberg. Their work appears in journals such as Alzheimer s & Dementia, Neurology, Brain Communications, EMBO Molecular Medicine and Nature Aging.

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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