Ranjeev Mittu

31 papers receiving 249 citations

Peers

Ranjeev Mittu
Comparison fields: 5 of 71
  • Health Informatics 4
  • Artificial Intelligence 95
  • Safety Research 22
  • Management Science and Operations Research 33
  • Social Psychology 52
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Jyi-Shane Liu Taiwan
Nathan Schurr United States
Norman D. Geddes United States
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Countries citing papers authored by Ranjeev Mittu

Since Specialization
Citations

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

Fields of papers citing papers by Ranjeev Mittu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201656
2 201825
3 201724
4 201922
5 201519
6 200613
7
Design and Evaluation of Distributed Role Allocation Algorithms in Open Environments.
200510
8 201610
9
Building upon the Coalitions Agent Experiment (COAX) - Integration of Multimedia Information in GCCS-M using IMPACT.
200310
10
Distributed Intelligent Systems: A Coordination Perspective
20089
11 20098
12 20218
13
Human Factors in Cybersecurity and the Role for AI
20156
14 20196
15 20066
16 20195
17 20205
18 20214
19
Common Operational Picture (COP) and Common Tactical Picture (CTP) Management via a Consistent Networked Information Stream (CNIS)
20004
20 20083

About Ranjeev Mittu

Ranjeev Mittu is a scholar working on Artificial Intelligence, Computer Networks and Communications, Sociology and Political Science, Management Science and Operations Research and Control and Systems Engineering, having authored 34 papers that have together received 273 indexed citations. Recurring topics across this work include Innovation, Sustainability, Human-Machine Systems (6 papers), Complex Systems and Decision Making (6 papers), Healthcare Technology and Patient Monitoring (4 papers), Mobile Agent-Based Network Management (4 papers), Military Strategy and Technology (3 papers), Multi-Agent Systems and Negotiation (3 papers), Simulation and Modeling Applications (3 papers) and Cognitive Science and Mapping (3 papers). The work is most often cited by research in Health Informatics (4 citations), Artificial Intelligence (95 citations), Safety Research (22 citations), Management Science and Operations Research (33 citations) and Social Psychology (52 citations). Ranjeev Mittu has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include William F. Lawless, Donald Sofge, Alan R. Wagner, James Agutter, Laura M. Hiatt, Lara Brewer, Stephen T. Russell, Alexa K. Doig, Daniel C. McFarlane and Abdeslem Boukhtouta. Their work appears in journals such as AI Magazine, International Journal of Electronic Government Research, PLoS ONE, The Journal of Defense Modeling and Simulation Applications Methodology Technology and PubMed.

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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