Dharmender Kumar

1.3k citations
66 papers · 832 indexed · h-index 14

Impact in

Papers in

Dharmender Kumar

56 papers receiving 776 citations

Peers

Dharmender Kumar
Comparison fields: 5 of 144
  • Computer Science Applications 112
  • Health Information Management 60
  • Artificial Intelligence 269
  • Media Technology 73
  • Software 26
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Citations per field
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Citations per year

Countries citing papers authored by Dharmender Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Dharmender Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dharmender 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 Dharmender Kumar Line = papers co-authored together Dharmender Kumar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020128
2 202094
3 201492
4 201757
5 201951
6
A Hybrid Clustering Method Based on Improved Artificial Bee Colony and Fuzzy C-Means Algorithm
201744
7 202030
8 201330
9
A Hybrid PSO Approach to Automate Test Data Generation for Data Flow Coverage with Dominance Concepts
201323
10 201722
11 202121
12 201719
13 202115
14 202114
15 201312
16
Rise of Data Mining: Current and Future Application Areas
201112
17 201611
18 201711
19
Interactive Grid Architecture for Application Service Providers.
20039
20 20128

About Dharmender Kumar

Dharmender Kumar is a scholar working on Artificial Intelligence, Computer Networks and Communications, Media Technology, Computer Vision and Pattern Recognition and Information Systems, having authored 66 papers that have together received 832 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (8 papers), Remote-Sensing Image Classification (6 papers), Remote Sensing and Land Use (5 papers), Evolutionary Algorithms and Applications (5 papers), Distributed and Parallel Computing Systems (5 papers), Artificial Intelligence in Healthcare (4 papers), Imbalanced Data Classification Techniques (4 papers) and Data Mining Algorithms and Applications (4 papers). The work is most often cited by research in Computer Science Applications (112 citations), Health Information Management (60 citations), Artificial Intelligence (269 citations), Media Technology (73 citations) and Software (26 citations). Dharmender Kumar has collaborated with scholars based in India, United States and Jamaica. Frequent co-authors include Sangeeta Gupta, Tripti Mishra, Narender Kumar, Sanjay Singla, Puneet Kumar, Narendra Kumar, Rajesh Mehta, Virendra P. Vishwakarma, Suman Suman and Sujoy Basu. Their work appears in journals such as Multimedia Tools and Applications, Indian Journal of Science and Technology, Journal of Inflammation Research, Plant Methods and Journal of Information and Communication Technology.

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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