Sailesh Ramakrishnan

886 total citations
11 papers, 505 citations indexed

About

Sailesh Ramakrishnan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Sailesh Ramakrishnan has authored 11 papers receiving a total of 505 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 2 papers in Computer Networks and Communications. Recurrent topics in Sailesh Ramakrishnan's work include AI-based Problem Solving and Planning (7 papers), Logic, Reasoning, and Knowledge (4 papers) and Genetics, Bioinformatics, and Biomedical Research (2 papers). Sailesh Ramakrishnan is often cited by papers focused on AI-based Problem Solving and Planning (7 papers), Logic, Reasoning, and Knowledge (4 papers) and Genetics, Bioinformatics, and Biomedical Research (2 papers). Sailesh Ramakrishnan collaborates with scholars based in United States. Sailesh Ramakrishnan's co-authors include Martha E. Pollack, Bart Peintner, Dirk Colbry, Colleen E. McCarthy, Laura Brown, Ioannis Tsamardinos, David E. Smith, Richard Dearden, Rich Washington and Nicolas Meuleau and has published in prestigious journals such as Robotics and Autonomous Systems, Teaching and Learning in Medicine and arXiv (Cornell University).

In The Last Decade

Sailesh Ramakrishnan

11 papers receiving 470 citations

Peers

Countries citing papers authored by Sailesh Ramakrishnan

Since Specialization

Citations

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

Fields of papers citing papers by Sailesh Ramakrishnan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sailesh Ramakrishnan

This figure shows the co-authorship network connecting the top 25 collaborators of Sailesh Ramakrishnan. A scholar is included among the top collaborators of Sailesh Ramakrishnan 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 Sailesh Ramakrishnan. Sailesh Ramakrishnan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

#	Work	Indexed citations
1	Planning under Continuous Time and Resource Uncertainty: A Challenge for AI 2012 ·arXiv (Cornell University) ·John Bresina, Richard Dearden, Nicolas Meuleau, Sailesh Ramakrishnan, David E. Smith, Rich Washington	21
2	Field Demonstration of Surface Human-Robotic Exploration Activity. 2006 ·National Conference on Artificial Intelligence ·(unknown), William J. Clancey, Maarten Sierhuis, Nicola Muscettola, David E. Smith, David Lees, Kanna Rajan, Sailesh Ramakrishnan, (unknown), Alonso Vera, Tom Dayton	10
3	Formalizing Resources for Planning 2003 ·International Conference on Automated Planning and Scheduling ·Tania Bedrax-Weiss, Conor McGann, Sailesh Ramakrishnan	12
4	Incremental Contingency Planning 2003 ·International Conference on Automated Planning and Scheduling ·Richard Dearden, Nicolas Meuleau, Sailesh Ramakrishnan, David E. Smith, Rich Washington	41
5	Autominder: an intelligent cognitive orthotic system for people with memory impairment 2003 ·Robotics and Autonomous Systems ·Martha E. Pollack, Laura Brown, Dirk Colbry, Colleen E. McCarthy, (unknown), Bart Peintner, Sailesh Ramakrishnan, Ioannis Tsamardinos	213
6	Pearl: A Mobile Robotic Assistant for the Elderly 2002 ·Martha E. Pollack, Laura E. Brown, Dirk Colbry, (unknown), Bart Peintner, Sailesh Ramakrishnan, Sandra Engberg, Judith T. Matthews, Jacqueline Dunbar‐Jacob, Colleen E. McCarthy, Sebastian Thrun, Michael Montemerlo, Joëlle Pineau, Nicholas Roy	173
7	Contingency Planning for Planetary Rovers 2002 ·NASA STI Repository (National Aeronautics and Space Administration) ·Richard Dearden, Nicolas Meuleau, Sailesh Ramakrishnan, David E. Smith, Rich Washington, Daniel Clancy	13
8	Oncology Thinking Cap: Scaffolded Use of a Simulation to Learn Clinical Trial Design 2001 ·Teaching and Learning in Medicine ·Cindy E. Hmelo, Sailesh Ramakrishnan, Roger Day, William Shirey, Adam Brufsky, Candace S. Johnson, Joseph Baar, (unknown)	10
9	Intelligent Monitoring in a Robotic Assistant for the Elderly 2000 ·National Conference on Artificial Intelligence ·Sailesh Ramakrishnan, Martha E. Pollack	2
10	The integration of a novice user interface into a professional modeling tool. 1998 ·PubMed ·Sailesh Ramakrishnan, Cindy E. Hmelo, Roger Day, William Shirey, (unknown)	5
11	A Tool For Designers To Record Design Rationale OfA Constructed Project 1970 ·WIT transactions on information and communication technologies ·Jesús M. de la Garza, Sailesh Ramakrishnan	5

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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