Atul Kumar

22 papers receiving 264 citations

Peers

Atul Kumar
Comparison fields: 5 of 83
  • Health Information Management 53
  • Biological Psychiatry 10
  • Neurology 32
  • Physiology 82
  • Psychiatry and Mental health 39
Replace Erfan Younesi with:
Erfan Younesi Germany
Alzheimer’s Disease Neuroimaging Initiative China
Xinzhong Li United Kingdom
Kyle E. Evans United States
Steve Rodriguez United States
Patrick M. Dooley United States
Lilia Mesrob France
Mojtaba Golzan Australia
Yishen Chen China
Atul Kumar relative to Erfan Younesi Germany Erfan Younesi's profile →
Citations per field
00.5×3.9×
Erfan Younesi · 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 201042
2 202440
3 202338
4 202130
5
Fuzzy Expert System for Diabetes using Fuzzy Verdict Mechanism
201122
6
Diagnosis of heart disease using Advanced Fuzzy resolution Mechanism
201319
7 202219
8 201716
9 202310
10 20219
11 20207
12 20225
13
Generating Rules for Advanced Fuzzy Resolution Mechanism to Diagnosis Heart Disease
20134
14 20134
15 20153
16 20243
17 20183
18 20213
19
MULTI AGENT BASED APPROACH FOR NETWORK INTRUSION DETECTION USING DATA MINING CONCEPT
20121
20 20231

About Atul Kumar

Atul Kumar is a scholar working on Physiology, Health Information Management, Artificial Intelligence, Genetics and Psychiatry and Mental health, having authored 23 papers that have together received 281 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (7 papers), Dementia and Cognitive Impairment Research (5 papers), Artificial Intelligence in Healthcare (5 papers), Fuzzy Logic and Control Systems (4 papers), Genetic Associations and Epidemiology (3 papers), Bioinformatics and Genomic Networks (3 papers), Neural Networks and Applications (2 papers) and Parkinson's Disease Mechanisms and Treatments (2 papers). The work is most often cited by research in Health Information Management (53 citations), Biological Psychiatry (10 citations), Neurology (32 citations), Physiology (82 citations) and Psychiatry and Mental health (39 citations). Atul Kumar has collaborated with scholars based in Sweden, India and United States. Frequent co-authors include Sachidanand Singh, Oskar Hansson, Niklas Mattsson, K. Panneerselvam, Erik Stomrud, Sebastian Palmqvist, D. Jeya Sundara Sharmila, Olof Strandberg, Shorena Janelidze and Piero Parchi. Their work appears in journals such as Alzheimer s & Dementia, Brain Communications, Neurology, Scientific Reports and Journal of Medical Systems.

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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