Joaquin Sitte

1.1k citations
72 papers · 662 indexed · h-index 11

Impact in

Papers in

Joaquin Sitte

62 papers receiving 610 citations

Peers

Joaquin Sitte
Comparison fields: 5 of 105
  • Artificial Intelligence 323
  • Computer Vision and Pattern Recognition 167
  • Signal Processing 76
  • Management Science and Operations Research 75
  • Control and Systems Engineering 117
Replace Corrado Mencar with:
Corrado Mencar Italy
Alan N. Steinberg United States
Weiping Wang China
Stephen I. Gallant United States
Zhou Ming-tian China
Seyed Hamid Zahiri Iran
Kebo Fu China
Pravin Chandra India
Eric Ke Wang China
B. H. Shekar India
Joaquin Sitte relative to Corrado Mencar Italy Corrado Mencar's profile →
Citations per field
00.5×1.5×
Corrado Mencar · 1×
Citations per year

Countries citing papers authored by Joaquin Sitte

Since Specialization
Citations

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

Fields of papers citing papers by Joaquin Sitte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199191
2 200671
3 199264
4 199355
5 200049
6 200246
7 201226
8 200523
9 199819
10 201017
11 200911
12 20129
13
The Parameter-Less SOM Algorithm
20039
14 20059
15
Advances in Robotics
20098
16 20057
17
Automatic Place Determination using Colour Histograms and Self-Organising Maps
20076
18 20086
19
The Cart-Pole Experiment as a Benchmark for Trainable Controllers
19926
20 20076

About Joaquin Sitte

Joaquin Sitte is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Management of Technology and Innovation, Control and Systems Engineering and Industrial and Manufacturing Engineering, having authored 72 papers that have together received 662 indexed citations. Recurring topics across this work include Neural Networks and Applications (23 papers), Robotic Path Planning Algorithms (10 papers), Robotics and Sensor-Based Localization (10 papers), Modular Robots and Swarm Intelligence (9 papers), Advanced Image and Video Retrieval Techniques (7 papers), Control Systems and Identification (6 papers), Machine Learning and ELM (6 papers) and Advanced Vision and Imaging (6 papers). The work is most often cited by research in Artificial Intelligence (323 citations), Computer Vision and Pattern Recognition (167 citations), Signal Processing (76 citations), Management Science and Operations Research (75 citations) and Control and Systems Engineering (117 citations). Joaquin Sitte has collaborated with scholars based in Australia, Germany and Canada. Frequent co-authors include Shlomo Geva, Erik Berglund, Renate Sitte, Petra Winzer, Ulrich Rückert, Frédéric Maire, George Kantor, Howie Choset, Ulf Witkowski and P. Winter. Their work appears in journals such as Autonomous Robots, Neurocomputing, IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans, SAE technical papers on CD-ROM/SAE technical paper series and IEEE Control Systems.

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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