Anita Raja

1.6k citations
106 papers · 940 indexed · h-index 18

Anita Raja

98 papers receiving 833 citations

Peers

Anita Raja
Comparison fields: 5 of 98
  • Electrical and Electronic Engineering 466
  • Artificial Intelligence 235
  • Computer Networks and Communications 162
  • Atomic and Molecular Physics, and Optics 200
  • Computer Vision and Pattern Recognition 95
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Countries citing papers authored by Anita Raja

Since Specialization
Citations

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

Fields of papers citing papers by Anita Raja

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20241
4 20241
5 20243
6 20239
7 20221
8 201817
9
Predicting Preterm Birth Is Not Elusive: Machine Learning Paves the Way to Individual Wellness
201416
10 20144
11 20130
12
Multiagent meta-level control for predicting meteorological phenomena
20102
13
Computational explanations for report generation in intelligence analysis
20091
14
A Blackboard-based Approach Towards Predictive Analytics.
20095
15 20087
16
Leveraging Problem Classification in Online Meta-Cognition.
20065
17
Integrating high-level and detailed agent coordination into a layered architecture
20019
18 200049
19
Modeling Uncertainty and its Implications to Design-to-Criteria Scheduling
19992
20
BIG: a resource-bounded information gathering agent
199828

About Anita Raja

Anita Raja is a scholar working on Artificial Intelligence, Management Science and Operations Research and Electrical and Electronic Engineering, having authored 106 papers that have together received 940 indexed citations. Recurring topics across this work include Optical Network Technologies (22 papers), Photonic and Optical Devices (15 papers), Advanced Fiber Optic Sensors (14 papers), Photonic Crystals and Applications (13 papers), Photonic Crystal and Fiber Optics (13 papers), Multi-Agent Systems and Negotiation (12 papers), Reinforcement Learning in Robotics (10 papers) and Advanced Photonic Communication Systems (10 papers). The work is most often cited by research in Electrical and Electronic Engineering (466 citations), Artificial Intelligence (235 citations) and Computer Networks and Communications (162 citations). Anita Raja has collaborated with scholars based in United States, India and Brazil. Frequent co-authors include Victor Lesser, Shanmuga Sundar Dhanabalan, S. Selvendran, Bryan Horling, Thomas Wagner, Frank Klassner, Ping Xuan, Brett Benyo, Michael Atighetchi and Régis Vincent. Their work appears in journals such as Scientific Reports, Artificial Intelligence and Optics Communications.

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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