P. Chitra

520 citations
33 papers · 198 · h-index 8

Impact in

Papers in

P. Chitra

31 papers receiving 188 citations

Peers

P. Chitra
Comparison fields: 5 of 42
  • Hardware and Architecture 49
  • Computer Networks and Communications 120
  • Information Systems 111
  • Industrial and Manufacturing Engineering 39
  • Artificial Intelligence 36
Replace Mateusz Guzek with:
Mateusz Guzek Luxembourg
Daniele Tessera Italy
Jonathan Yaniv United States
Claude Tadonki France
S. Ramachandram India
Leo Budin Croatia
Shengfei Shi China
Satish Penmatsa United States
Rajesh Devaraj India
Eunsam Kim South Korea
P. Chitra relative to Mateusz Guzek Luxembourg Mateusz Guzek's profile →
Citations per field
00.5×1.5×1.9×
Mateusz Guzek · 1×
Citations per year

Countries citing papers authored by P. Chitra

Since Specialization
Citations

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

Fields of papers citing papers by P. Chitra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside P. Chitra, 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 P. Chitra Line = papers co-authored together P. Chitra links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201041
2 201141
3 202014
4 201114
5 202010
6 20219
7 20127
8 20197
9 20106
10 20124
11 20104
12 20134
13 20093
14 20193
15 20183
16 20113
17
HJSA: A Hierarchical Job Scheduling Algorithm for Cost Optimization in Cloud Computing Environment
20162
18
Parallel Implementation of Task Scheduling using Ant Colony Optimization
20132
19 20162
20 20172

About P. Chitra

P. Chitra is a scholar working on Computer Networks and Communications, Information Systems, Hardware and Architecture, Artificial Intelligence and Industrial and Manufacturing Engineering, having authored 33 papers that have together received 198 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (18 papers), Distributed and Parallel Computing Systems (12 papers), Parallel Computing and Optimization Techniques (10 papers), IoT and Edge/Fog Computing (7 papers), Blockchain Technology Applications and Security (3 papers), Scheduling and Optimization Algorithms (3 papers), Brain Tumor Detection and Classification (2 papers) and Image Retrieval and Classification Techniques (2 papers). The work is most often cited by research in Hardware and Architecture (49 citations), Computer Networks and Communications (120 citations), Information Systems (111 citations), Industrial and Manufacturing Engineering (39 citations) and Artificial Intelligence (36 citations). P. Chitra has collaborated with scholars based in India, United States and Singapore. Frequent co-authors include P. Venkatesh, R. Rajaram, Karthikeyan Rajagopal, Sheikh Ghafoor, S. Revathi, Venkatesh Venkatesh and S. Gomathi. Their work appears in journals such as Journal of High Speed Networks, Wireless Personal Communications, Sadhana, Applied Soft Computing and Journal of Computational and Theoretical Nanoscience.

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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