Helman I. Stern

70 papers receiving 1.8k citations

Hit Papers

Vision-based hand-gesture applications20112026201620212011100200300400

Peers

Helman I. Stern
Comparison fields: 5 of 136
  • Human-Computer Interaction 831
  • Computer Vision and Pattern Recognition 560
  • Industrial and Manufacturing Engineering 430
  • Control and Systems Engineering 335
  • Cognitive Neuroscience 294
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Citations per field
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Citations per year

Countries citing papers authored by Helman I. Stern

Since Specialization
Citations

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

Fields of papers citing papers by Helman I. Stern

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Helman I. Stern. 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 Helman I. Stern. The network helps show where Helman I. Stern may publish in the future.

Co-authorship network of co-authors of Helman I. Stern

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 19
3 43
4 16
5
Hand Gesture Recognition for TV Remote Control using Tree-Based Ensemble and LCS Classifiers.
5
6 85
7 116
8 20
9
Use of medical robotics in biothreat situations.
2
10 5
11 37
12 2
13
A PROTOTYPE FUZZY SYSTEM FOR SURVEILLANCE PICTURE UNDERSTANDING
3
14 0
15 15
16 2
17
IMPROVED LOWER BOUND TO THE MINIMUM FLEET SIZE PROBLEM
13
18
THE GARAGE CONSTRAINED - BALANCED VEHICLE SCHEDULE MINIMUM FLEET SIZE PROBLEM
1
19 23
20
GRAPHICAL PERSON-MACHINE INTERACTIVE APPROACH FOR BUS SCHEDULING. (ABRIDGMENT)
6

About Helman I. Stern

Helman I. Stern is a scholar working on Human-Computer Interaction, Industrial and Manufacturing Engineering and Automotive Engineering, having authored 75 papers that have together received 1.9k indexed citations. Recurring topics across this work include Hand Gesture Recognition Systems (20 papers), Vehicle Routing Optimization Methods (13 papers) and Scheduling and Optimization Algorithms (11 papers). The work is most often cited by research in Human-Computer Interaction (831 citations), Industrial and Manufacturing Engineering (430 citations) and Computer Vision and Pattern Recognition (560 citations). Helman I. Stern has collaborated with scholars based in Israel, United States and Canada. Frequent co-authors include Yael Edan, Juan Wachs, Mathias Kölsch, Avishai Ceder, Sigal Berman, Moshe Dror, Ilya Gertsbakh, Craig F. Feied, Gad Vitner and Jonathan A. Handler. Their work appears in journals such as Management Science, Communications of the ACM and European Journal of Operational Research.

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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