Leon Ciechanowski

1.5k citations
14 papers · 870 indexed · 1 hit paper · h-index 9

Leon Ciechanowski

12 papers receiving 835 citations

Hit Papers

In the shades of the uncanny valley: An experimental stud...3772018202620202023100200300

Peers

Leon Ciechanowski
Comparison fields: 5 of 92
  • Health Informatics 51
  • Information Systems and Management 124
  • Artificial Intelligence 527
  • Applied Psychology 69
  • Human-Computer Interaction 59
Replace Aleksandra Przegalińska with:
Aleksandra Przegalińska Poland
Ryan M. Schuetzler United States
Ulrich Gnewuch Germany
Ingrid G. Farreras United States
Irina Ene Romania
Eva Bittner Germany
Triparna de Vreede United States
Aarni Tuomi Finland
John Tripp United States
Marilyn Giroux New Zealand
Leon Ciechanowski relative to Aleksandra Przegalińska Poland Aleksandra Przegalińska's profile →
Citations per field
00.5×1.5×
Aleksandra Przegalińska · 1×
Citations per year

Countries citing papers authored by Leon Ciechanowski

Since Specialization
Citations

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

Fields of papers citing papers by Leon Ciechanowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 6 scholars most cited alongside Leon Ciechanowski, 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 Leon Ciechanowski Line = papers co-authored together Leon Ciechanowski links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 202429
2 20243
3 202412
4 202410
5 20243
6 20240
7 20238
8 202139
9 2020154
10 202026
11 2019206
12
In the shades of the uncanny valley: An experimental study of human–chatbot interactionbreakdown →
2018377
13
Has the Philosopher’s Stone of the Interaction Between First- and Third-Person Data Finally been Found?
20170
14 20133

About Leon Ciechanowski

Leon Ciechanowski is a scholar working on General Social Sciences, Social Psychology and Safety Research, having authored 14 papers that have together received 870 indexed citations. Recurring topics across this work include AI in Service Interactions (4 papers), Big Data and Business Intelligence (2 papers), Social Robot Interaction and HRI (2 papers), Misinformation and Its Impacts (2 papers), Complex Network Analysis Techniques (2 papers), Ethics and Social Impacts of AI (2 papers), Opinion Dynamics and Social Influence (2 papers) and Sentiment Analysis and Opinion Mining (1 paper). The work is most often cited by research in Health Informatics (51 citations), Information Systems and Management (124 citations) and Artificial Intelligence (527 citations). Leon Ciechanowski has collaborated with scholars based in Poland, United States and New Zealand. Frequent co-authors include Aleksandra Przegalińska, Peter A. Gloor, Mikołaj Magnuski, Grzegorz Mazurek, Dariusz Jemielniak and Richard B. Freeman. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Business Research and IEEE Access.

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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