S. Clark

10 papers receiving 2.1k citations

S. Clark's Hit Papers

A solution to the simultaneous localization and map building (SLAM) problem 2001 · 2.1k citations
2.1k0+8+16Years since publication50010001.5k2.0k

Peers

S. Clark
Comparison fields: 5 of 78
  • Aerospace Engineering 1.9k
  • Computer Vision and Pattern Recognition 1.2k
  • Geology 180
  • Ocean Engineering 332
  • Electrical and Electronic Engineering 854
Replace José A. Castellanos with:
José A. Castellanos Spain
José Guivant Australia
Viorela Ila Australia
Juan Andrade‐Cetto Spain
Ananth Ranganathan United States
Agostino Martinelli France
Simon Lacroix France
Nabil Aouf United Kingdom
Udo Frese Germany
Abraham Bachrach United States
S. Clark relative to José A. Castellanos Spain José A. Castellanos's profile →
Citations per field
00.5×1.5×
José A. Castellanos · 1×
Citations per year

Countries citing papers authored by S. Clark

Since Specialization
Citations

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

Fields of papers citing papers by S. Clark

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside S. Clark, 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 S. Clark Line = papers co-authored together S. Clark links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1
A solution to the simultaneous localization and map building (SLAM) problem
Hit paper breakdown →
20012097
2 200280
3 200347
4 200833
5 199824
6 201214
7 19888
8 20016
9 20245
10 20244
11 19711
12 20210
13 19980
14 20050

About S. Clark

S. Clark is a scholar working on Electrical and Electronic Engineering, Aerospace Engineering, Computer Networks and Communications, Artificial Intelligence and Control and Systems Engineering, having authored 14 papers that have together received 2.3k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (4 papers), Indoor and Outdoor Localization Technologies (3 papers), Target Tracking and Data Fusion in Sensor Networks (3 papers), Embedded Systems Design Techniques (2 papers), Robotic Path Planning Algorithms (2 papers), RFID technology advancements (1 paper), Energy Efficient Wireless Sensor Networks (1 paper) and Risk and Safety Analysis (1 paper). The work is most often cited by research in Aerospace Engineering (1.9k citations), Computer Vision and Pattern Recognition (1.2k citations), Geology (180 citations), Ocean Engineering (332 citations) and Electrical and Electronic Engineering (854 citations). S. Clark has collaborated with scholars based in Australia, Canada and United Kingdom. Frequent co-authors include Hugh Durrant‐Whyte, Gamini Dissanayake, Paul Newman, Huirong Le, Ruth MacKay, John A. Williams, Ralph Masiello, Ashwin K. Iyer, Kam‐Fai Wong and Brian C. O’Neill. Their work appears in journals such as IEEE Open Journal of Antennas and Propagation, Journal of Micromechanics and Microengineering, IEEE Transactions on Robotics and Automation, Lecture notes in control and information sciences and IEEE Transactions on Antennas and Propagation.

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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