S.L. Dockstader

597 citations
18 papers · 420 · h-index 8

Impact in

Papers in

S.L. Dockstader

18 papers receiving 383 citations

Peers

S.L. Dockstader
Comparison fields: 5 of 59
  • Computer Vision and Pattern Recognition 356
  • Human-Computer Interaction 32
  • Artificial Intelligence 107
  • Aerospace Engineering 61
  • Biomedical Engineering 91
Replace Alain Crouzil with:
Alain Crouzil France
Mohammadreza Babaee Germany
A. Jain United States
Timur Bagautdinov United States
Sébastien Ambellouis France
J. Black United Kingdom
T.X. Han United States
Jiewei Cao Australia
Evgeny Levinkov Germany
Jifei Song United Kingdom
S.L. Dockstader relative to Alain Crouzil France Alain Crouzil's profile →
Citations per field
00.5×1.5×2.0×
Alain Crouzil · 1×
Citations per year

Countries citing papers authored by S.L. Dockstader

Since Specialization
Citations

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

Fields of papers citing papers by S.L. Dockstader

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside S.L. Dockstader, 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.L. Dockstader Line = papers co-authored together S.L. Dockstader links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2001158
2 200270
3 201350
4 200339
5 201128
6 200219
7 200317
8 200114
9 20066
10 20035
11 20004
12 20023
13
Geospatial InfoFusion III
20122
14 20061
15 20041
16 20041
17 20021
18
Markov-Based Failure Prediction for Human Motion Analysis
20031

About S.L. Dockstader

S.L. Dockstader is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering, Artificial Intelligence, Geography, Planning and Development and Computer Networks and Communications, having authored 18 papers that have together received 420 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (12 papers), Human Pose and Action Recognition (10 papers), Gait Recognition and Analysis (8 papers), Advanced Vision and Imaging (6 papers), Anomaly Detection Techniques and Applications (6 papers), Geographic Information Systems Studies (2 papers), Data Management and Algorithms (1 paper) and Face and Expression Recognition (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (356 citations), Human-Computer Interaction (32 citations), Artificial Intelligence (107 citations), Aerospace Engineering (61 citations) and Biomedical Engineering (91 citations). S.L. Dockstader has collaborated with scholars based in United States, Türkiye and India. Frequent co-authors include A. Murat Tekalp, Bernhard Rinner, James Ferryman, Kannappan Palaniappan, François Brémond, Anthony Hoogs, Brian C. Lovell, Sharath Pankanti, P.L. Venetianer and Fatih Porikli. Their work appears in journals such as IEEE Transactions on Image Processing, Proceedings of the IEEE, IEEE Signal Processing Magazine, Real-Time Imaging and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.

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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