Divya Kumar

812 citations
64 papers · 567 · h-index 12

Impact in

  • Software top 10%
    • Software Testing and Debugging Techniques
    • Software Reliability and Analysis Research
    • Speech and Audio Processing
    • Music and Audio Processing

Papers in

Divya Kumar

55 papers receiving 541 citations

Peers

Divya Kumar
Comparison fields: 5 of 91
  • Software 53
  • Signal Processing 112
  • Artificial Intelligence 231
  • Information Systems 107
  • Management Science and Operations Research 48
Replace Nesar Ahmad with:
Nesar Ahmad India
Mian Muhammad Awais Pakistan
David J. Russomanno United States
Mohsen Rahmani Iran
Peipei Wang China
David J. Musliner United States
Osbert Bastani United States
Wahiba Ben Abdessalem Karâa Tunisia
Masahito Kurihara Japan
Gi-Nam Wang South Korea
Divya Kumar relative to Nesar Ahmad India Nesar Ahmad's profile →
Citations per field
00.5×4.9×
Nesar Ahmad · 1×
Citations per year

Countries citing papers authored by Divya Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Divya Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Divya 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 Divya Kumar Line = papers co-authored together Divya Kumar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201661
2 201659
3 201851
4 202046
5 202046
6 201936
7 201824
8 202021
9 201415
10 202213
11 201713
12 202212
13 201911
14 201611
15 202010
16 201710
17 20219
18 20109
19 20199
20 20179

About Divya Kumar

Divya Kumar is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Control and Systems Engineering and Signal Processing, having authored 64 papers that have together received 567 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (7 papers), Advanced Control Systems Optimization (7 papers), Speech Recognition and Synthesis (6 papers), Advanced Multi-Objective Optimization Algorithms (6 papers), Emotion and Mood Recognition (6 papers), Speech and Audio Processing (6 papers), Blockchain Technology Applications and Security (5 papers) and Music and Audio Processing (5 papers). The work is most often cited by research in Software (53 citations), Signal Processing (112 citations), Artificial Intelligence (231 citations), Information Systems (107 citations) and Management Science and Operations Research (48 citations). Divya Kumar has collaborated with scholars based in India, Canada and United States. Frequent co-authors include K. K. Mishra, Hector Budman, Ritu Agarwal, Priyanka Paliwal, Saurabh Bhardwaj, Nidhi Shukla, Sachin Kumar, Arun K. Misra, Anil Kumar Singh and Ankit Kumar. Their work appears in journals such as Wireless Personal Communications, International Journal of Vehicle Design, Applied Acoustics, Chemical Engineering Science and Quality and Reliability Engineering International.

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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