Yael Edan

7.2k citations
199 papers · 4.9k indexed · 3 hit papers · h-index 34

Yael Edan

192 papers receiving 4.7k citations

Hit Papers

Development of a sweet pepper har...2952011202620162021100200300400

Peers

Yael Edan
Comparison fields: 5 of 161
  • Human-Computer Interaction 825
  • Plant Science 2.1k
  • Computer Vision and Pattern Recognition 869
  • Industrial and Manufacturing Engineering 404
  • Small Animals 268
Replace Gert Kootstra with:
Gert Kootstra Netherlands
Girish Chowdhary United States
Lyndon Smith United Kingdom
Jun-Wei Hsieh Taiwan
Yifan Zhang China
Dongjian He China
Alex Bewley Australia
Georgios Tzimiropoulos United Kingdom
Gerhard P. Hancke Hong Kong
Sanjay Kumar Singh India
Yael Edan relative to Gert Kootstra Netherlands Gert Kootstra's profile →
Citations per field
00.5×9.3×
Gert Kootstra · 1×
Citations per year

Countries citing papers authored by Yael Edan

Since Specialization
Citations

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

Fields of papers citing papers by Yael Edan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Yael Edan, 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 Yael Edan Line = papers co-authored together Yael Edan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20244
2 20241
3 20236
4 20234
5 202214
6
Development of a sweet pepper harvesting robotbreakdown →
2020295
7 202025
8 202047
9 201950
10 201927
11 201826
12 201762
13 2008116
14 200820
15 200812
16
Behavior Analysis of Grid-map based Sensor Fusion Algorithms.
20031
17 200015
18
Human-machine collaboration for melons detection.
20001
19
Real-time image processing for robotic melon harvesting
199213
20
Developing grippers for a melon harvesting robot.
19909

About Yael Edan

Yael Edan is a scholar working on Human-Computer Interaction, Analytical Chemistry and Plant Science, having authored 199 papers that have together received 4.9k indexed citations. Recurring topics across this work include Smart Agriculture and AI (70 papers), Social Robot Interaction and HRI (24 papers), Spectroscopy and Chemometric Analyses (21 papers), Robot Manipulation and Learning (20 papers), Human-Automation Interaction and Safety (17 papers), Hand Gesture Recognition Systems (17 papers), Gaze Tracking and Assistive Technology (15 papers) and Target Tracking and Data Fusion in Sensor Networks (15 papers). The work is most often cited by research in Human-Computer Interaction (825 citations), Plant Science (2.1k citations) and Computer Vision and Pattern Recognition (869 citations). Yael Edan has collaborated with scholars based in Israel, United States and Netherlands. Frequent co-authors include Helman I. Stern, Juan Wachs, J. Hemming, E.J. van Henten, C.W. Bac, Polina Kurtser, Mathias Kölsch, Ron Berenstein, Ohad Ben‐Shahar and I. Halachmi.

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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