Simona Doboli

869 citations
64 papers · 557 · h-index 12

Impact in

Papers in

    • Advanced Text Analysis Techniques 9
    • Neural Networks and Applications 8
    • Topic Modeling 7
    • Cognitive Science and Mapping 7
    • Neural dynamics and brain function 13
    • Memory and Neural Mechanisms 10

Simona Doboli

60 papers receiving 528 citations

Peers

Simona Doboli
Comparison fields: 5 of 75
  • Experimental and Cognitive Psychology 108
  • Management of Technology and Innovation 59
  • Cognitive Neuroscience 148
  • Business and International Management 13
  • Artificial Intelligence 187
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Citations per field
00.5×6.5×
Miriam Sturdee · 1×
Citations per year

Countries citing papers authored by Simona Doboli

Since Specialization
Citations

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

Fields of papers citing papers by Simona Doboli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200066
2 200040
3 200937
4 201036
5 200733
6 201030
7 201528
8 201326
9 201825
10 201920
11 200917
12 201312
13 201511
14 200910
15 19999
16 20079
17 20109
18 20208
19 20026
20 20106

About Simona Doboli

Simona Doboli is a scholar working on Artificial Intelligence, Cognitive Neuroscience, Electrical and Electronic Engineering, Social Psychology and Hardware and Architecture, having authored 64 papers that have together received 557 indexed citations. Recurring topics across this work include Neural dynamics and brain function (13 papers), Memory and Neural Mechanisms (10 papers), Advanced Text Analysis Techniques (9 papers), Neural Networks and Applications (8 papers), Team Dynamics and Performance (8 papers), VLSI and FPGA Design Techniques (7 papers), Topic Modeling (7 papers) and Cognitive Science and Mapping (7 papers). The work is most often cited by research in Experimental and Cognitive Psychology (108 citations), Management of Technology and Innovation (59 citations), Cognitive Neuroscience (148 citations), Business and International Management (13 citations) and Artificial Intelligence (187 citations). Simona Doboli has collaborated with scholars based in United States, Qatar and Romania. Frequent co-authors include Ali A. Minai, Alex Doboli, Paul B. Paulus, Vincent Brown, Radu‐Emil Precup, Ștefan Preitl, Phillip J. Best, Daniel S. Levine, Jared B. Kenworthy and Laxmi Iyer. Their work appears in journals such as Neurocomputing, Network Computation in Neural Systems, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Knowledge-Based Systems and Applied Intelligence.

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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