Daniela Conti

86 papers receiving 2.1k citations

Daniela Conti's Hit Papers

Exploring automation bias in human–AI collaboration: a review and implications for explainable AI 2025 · 18 citations
180Years since publication51015

Peers

Daniela Conti
Comparison fields: 5 of 152
  • Occupational Therapy 97
  • Critical Care and Intensive Care Medicine 101
  • Computer Science Applications 123
  • Nephrology 129
  • Social Psychology 405
Replace Mingguang He with:
Mingguang He China
Francesco Tomei Italy
Sang Gyu Kwak South Korea
Tracey L. Weissgerber United States
Eun‐Ju Lee South Korea
Chris Parker United Kingdom
David Han United States
Yunhee Choi South Korea
Yves Lepage Canada
Stefan Wellek Germany
Daniela Conti relative to Mingguang He China Mingguang He's profile →
Citations per field
00.5×10×15×20.5×
Mingguang He · 1×
Citations per year

Countries citing papers authored by Daniela Conti

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Conti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010181
2 2016156
3 2006151
4 201694
5 201990
6 200981
7 199481
8 200881
9 201877
10 202060
11 202056
12 199654
13 200853
14 202049
15 200349
16 201844
17 201940
18 201540
19 201539
20 202035

About Daniela Conti

Daniela Conti is a scholar working on Social Psychology, Molecular Biology, Artificial Intelligence, Cognitive Neuroscience and Occupational Therapy, having authored 92 papers that have together received 2.2k indexed citations. Recurring topics across this work include Social Robot Interaction and HRI (20 papers), AI in Service Interactions (12 papers), Autism Spectrum Disorder Research (11 papers), Assistive Technology in Communication and Mobility (9 papers), Robotics and Automated Systems (8 papers), Carcinogens and Genotoxicity Assessment (7 papers), Plant tissue culture and regeneration (7 papers) and Blood transfusion and management (5 papers). The work is most often cited by research in Occupational Therapy (97 citations), Critical Care and Intensive Care Medicine (101 citations), Computer Science Applications (123 citations), Nephrology (129 citations) and Social Psychology (405 citations). Daniela Conti has collaborated with scholars based in Italy, United Kingdom and Brazil. Frequent co-authors include Santo Di Nuovo, Alessandro Di Nuovo, Marco Ranucci, Serafino Buono, Andrea Ballotta, Federica Romitti, Giuseppe Isgrò, Grazia Trubia, Jeonghye Han and Simone Varrasi. Their work appears in journals such as The Annals of Thoracic Surgery, Robotics, Mutation research. Fundamental and molecular mechanisms of mutagenesis, Acta Scientiarum Agronomy and Bioelectromagnetics.

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.

Explore authors with similar magnitude of impact