Kanna Rajan

1.9k total citations
46 papers, 1.1k citations indexed

About

Kanna Rajan is a scholar working on Artificial Intelligence, Oceanography and Ocean Engineering. According to data from OpenAlex, Kanna Rajan has authored 46 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 19 papers in Oceanography and 18 papers in Ocean Engineering. Recurrent topics in Kanna Rajan's work include AI-based Problem Solving and Planning (15 papers), Underwater Vehicles and Communication Systems (15 papers) and Marine and coastal ecosystems (13 papers). Kanna Rajan is often cited by papers focused on AI-based Problem Solving and Planning (15 papers), Underwater Vehicles and Communication Systems (15 papers) and Marine and coastal ecosystems (13 papers). Kanna Rajan collaborates with scholars based in United States, Portugal and Norway. Kanna Rajan's co-authors include James G. Bellingham, Alessandro Saffiotti, Frédéric Py, Nicola Muscettola, John P. Ryan, João Borges de Sousa, Jnaneshwar Das, Julio B.J. Harvey, Conor McGann and Jo Eidsvik and has published in prestigious journals such as Science, Artificial Intelligence and The International Journal of Robotics Research.

In The Last Decade

Kanna Rajan

44 papers receiving 1.0k citations

Peers

Countries citing papers authored by Kanna Rajan

Since Specialization

Citations

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

Fields of papers citing papers by Kanna Rajan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kanna Rajan

This figure shows the co-authorship network connecting the top 25 collaborators of Kanna Rajan. A scholar is included among the top collaborators of Kanna Rajan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kanna Rajan. Kanna Rajan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Design of a Micro-Turbojet Axial Turbine 2025 ·Mingming Zheng, (unknown), Kanna Rajan, (unknown), Anjali Patel, (unknown), Nabeen K. Shrestha	0
2	Dynamics of environmental variables during the incidence of algal bloom in the coastal waters of Gujarat along the northeastern Arabian Sea 2023 ·Environmental Monitoring and Assessment ·(unknown), Mini Raman, (unknown), (unknown), Kanna Rajan, (unknown), Gyanaranjan Dash, (unknown), Prathibha Rohit, (unknown)	1
3	Advancing Ocean Observation with an AI-Driven Mobile Robotic Explorer 2020 ·Oceanography ·(unknown), Annette Stahl, (unknown), Emlyn J. Davies, Tor Nordam, Nicole Aberle, Martin Ludvigsen, Geir Johnsen, João Borges de Sousa, Kanna Rajan	10
4	Physical controls on phytoplankton size structure, photophysiology and suspended particles in a Norwegian biological hotspot 2019 ·Progress In Oceanography ·Glaucia M. Fragoso, Emlyn J. Davies, Ingrid Ellingsen, Matilde Skogen Chauton, (unknown), Martin Ludvigsen, (unknown), Kanna Rajan, Geir Johnsen	12
5	Toward adaptive robotic sampling of phytoplankton in the coastal ocean 2019 ·Science Robotics ·(unknown), Glaucia M. Fragoso, Emlyn J. Davies, Jenny Ullgren, Renato Mendes, Geir Johnsen, Ingrid Ellingsen, Jo Eidsvik, Martin Ludvigsen, Kanna Rajan	57
6	Advancing multi-vehicle deployments in oceanographic field experiments 2018 ·Autonomous Robots ·(unknown), Maria Costa, Frédéric Py, José Pinto, Mónica A. Silva, W. Alex M. Nimmo‐Smith, Tor Arne Johansen, João Borges de Sousa, Kanna Rajan	23
7	Towards a science of integrated AI and Robotics 2017 ·Artificial Intelligence ·Kanna Rajan, Alessandro Saffiotti	109
8	Rapid Environmental Picture Atlantic exercise 2015: A field report 2016 ·João Borges de Sousa, João Pereira, José Pinto, (unknown), (unknown), Jorge Fontes, Mónica A. Silva, Kanna Rajan, (unknown), João Alves, Andrea Munafò, Konstantinos Pelekanakis, Roberto Petroccia, Marina Carreiro‐Silva, Michael L. Incze	16
9	Hierarchical probabilistic regression for AUV-based adaptive sampling of marine phenomena 2013 ·Jnaneshwar Das, Julio B.J. Harvey, Frédéric Py, (unknown), Rishi Graham, Kanna Rajan, Gaurav S. Sukhatme	12
10	Chasing fish: Tracking and control in a autonomous multi-vehicle real-world experiment 2013 ·José Pinto, (unknown), João Fortuna, Ricardo Martins, João Borges de Sousa, Nuno Queiroz, Frédéric Py, Kanna Rajan	12
11	Coordinated Sampling of Dynamic Oceanographic Features with AUVs and Drifters 2012 ·The International Journal of Robotics Research ·Jnaneshwar Das, Frédéric Py, (unknown), Tom O’Reilly, Monique Messié, John P. Ryan, Gaurav S. Sukhatme, Kanna Rajan	5
12	An On-line Utility based Multi-criteria Approach for Sampling Dynamic Ocean Fields 2012 ·IEEE Journal of Oceanic Engineering ·Ángel García‐Olaya, Frédéric Py, Jnaneshwar Das, Kanna Rajan	4
13	AUV-2011-Underwater robotics experiment in the mar menor coastal lagoon 2011 ·RECERCAT (Consorci de Serveis Universitaris de Catalunya) ·Kanna Rajan, (unknown), Antonio José Lozano Guerrero, Javier Busquets, (unknown), Bartolomé Garau, Ángel García‐Olaya, Daniel Borrajo, Ricardo Martins, Javier Gilabert, Spartacus Gomáriz Castro, (unknown), Joaquín del Río Fernández, Antonio Manuel Lázaro, Marc Carreras, (unknown), João Borges de Sousa	0
14	Planning for AUVs: Dealing with a Continuous Partially-Observable Environment 2007 ·University of Birmingham Research Portal (University of Birmingham) ·Richard Dearden, (unknown), Jeremy Wyatt, (unknown), Félix Ingrand, Kanna Rajan	2
15	Mixed-initiative activity planning for Mars rovers 2005 ·NASA Technical Reports Server (NASA) ·John Bresina, Ari Jónsson, Paul Morris, Kanna Rajan	12
16	MAPGEN Planner: Mixed-Initiative Activity Planning for the Mars Exploration Rover Mission 2003 ·International Conference on Automated Planning and Scheduling ·(unknown), John Bresina, (unknown), (unknown), Ari Jónsson, Bob Kanefsky, Pierre Maldague, Paul Morris, Kanna Rajan, (unknown)	9
17	Design of the Remote Agent experiment for spacecraft autonomy 2002 ·Douglas E. Bernard, Gregory A. Dorais, (unknown), Edward B. Gamble, Bob Kanefsky, James Kurien, William Millar, Nicola Muscettola, P. Pandurang Nayak, Barney Pell, Kanna Rajan, (unknown), (unknown), Brian C. Williams	61
18	Remote agent: an autonomous control system for the New Millennium 2000 ·European Conference on Artificial Intelligence ·Kanna Rajan, Douglas E. Bernard, Gregory A. Dorais, Edward B. Gamble, Bob Kanefsky, James Kurien, William Millar, Nicola Muscettola, (unknown), Nicolas Rouquette, (unknown), William M. Taylor, (unknown)	21
19	Next Generation Remote Agent Planner 1999 ·International Conference on Robotics and Automation ·Ari Jónsson, Nicola Muscettola, Paul Morris, Kanna Rajan	19
20	Spacecraft autonomy flight experience - The DS1 Remote Agent Experiment 1999 ·al e, Douglas E. Bernard, Edward B. Gamble, (unknown), Gregory A. Dorais, Bob Kanefsky, William Millar, Kanna Rajan, James Kurien, Nicola Muscettola, (unknown)	57

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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