Paola Barra

618 total citations
31 papers, 324 citations indexed

About

Paola Barra is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Human-Computer Interaction. According to data from OpenAlex, Paola Barra has authored 31 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 5 papers in Human-Computer Interaction. Recurrent topics in Paola Barra's work include Face recognition and analysis (8 papers), Face and Expression Recognition (6 papers) and Human Pose and Action Recognition (5 papers). Paola Barra is often cited by papers focused on Face recognition and analysis (8 papers), Face and Expression Recognition (6 papers) and Human Pose and Action Recognition (5 papers). Paola Barra collaborates with scholars based in Italy, Spain and India. Paola Barra's co-authors include Michele Nappi, Carmen Bisogni, Silvio Barra, Andrea F. Abate, Maria De Marsico, Modesto Castrillón-Santana, David Freire-Obregón, Chiara Pero, Maurizio Tucci and Stefano Ricciardi and has published in prestigious journals such as International Journal of Molecular Sciences, IEEE Transactions on Image Processing and IEEE Access.

In The Last Decade

Paola Barra

28 papers receiving 320 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Paola Barra Italy	12	196	88	34	31	30	31	324
Samy Bakheet Egypt	10	123 0.6×	116 1.3×	30 0.9×	34 1.1×	54 1.8×	23	350
Alia Karim Abdul Hassan Iraq	9	101 0.5×	115 1.3×	15 0.4×	37 1.2×	60 2.0×	54	272
Norah Alnaim Saudi Arabia	11	62 0.3×	89 1.0×	37 1.1×	18 0.6×	13 0.4×	22	283
Abhishek Vaish India	9	38 0.2×	74 0.8×	31 0.9×	68 2.2×	20 0.7×	55	323
S. Athi Narayanan India	12	173 0.9×	79 0.9×	37 1.1×	18 0.6×	18 0.6×	25	327
Byungsoo Ko South Korea	11	164 0.8×	199 2.3×	10 0.3×	15 0.5×	29 1.0×	15	398
Duantengchuan Li China	9	169 0.9×	117 1.3×	30 0.9×	7 0.2×	16 0.5×	19	333
Akram Bayat United States	5	306 1.6×	105 1.2×	32 0.9×	19 0.6×	8 0.3×	8	437
Hussam Tarazi United States	8	66 0.3×	107 1.2×	28 0.8×	49 1.6×	55 1.8×	10	331
Muhamad Dwisnanto Putro South Korea	10	183 0.9×	50 0.6×	22 0.6×	25 0.8×	53 1.8×	66	336

Countries citing papers authored by Paola Barra

Since Specialization

Citations

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

Fields of papers citing papers by Paola Barra

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paola Barra

This figure shows the co-authorship network connecting the top 25 collaborators of Paola Barra. A scholar is included among the top collaborators of Paola Barra based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Paola Barra. Paola Barra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Barra, Paola, et al.. (2025). AI4RDD: Artificial Intelligence and Rare Disease Diagnosis: A proposal to improve the anamnesis process. Image and Vision Computing. 162. 105658–105658. 1 indexed citations

Onorati, Teresa, et al.. (2024). Innovative Interfaces in Digital Healthcare (INI-DH 2024). CINECA IRIS Institutial research information system (Parthenope University of Naples). 1–3. 2 indexed citations

Barra, Paola, et al.. (2024). Muxi: a Multimodal Conversational Interface for the Metaverse. CINECA IRIS Institutial research information system (Parthenope University of Naples). 1–3. 1 indexed citations

Barra, Paola, Antonella Bianca Francavilla, Domenico Rossi, et al.. (2024). Acoustic Emissions detection and analysis during a 4 points bending test on a reinforced concrete beam. AIP conference proceedings. 3158. 20002–20002.

Rath, Sushmita, et al.. (2024). Application of Artificial Intelligence using Mammograms to Identify Breast Cancer. 1–5. 1 indexed citations

Francavilla, Antonella Bianca, Paola Barra, Domenico Rossi, et al.. (2023). Cracks Classification using Acoustic Emission Technique on a Reinforced Concrete Beam. 17. 80–86. 1 indexed citations

Barra, Paola, et al.. (2023). Demo: MetaCUX - a multi-user, multi-scenario environment for a cooperative workspace. CINECA IRIS Institutial research information system (Parthenope University of Naples). 1–3. 1 indexed citations

Mohanty, Kuldeep, et al.. (2023). Prediction of Heart Attack and Death: Comparison Between 1 DCNN and Conventional ML Approaches. CINECA IRIS Institutial research information system (Parthenope University of Naples). 19. 1–6.

Barra, Paola, et al.. (2023). Multimodal Emotion Recognition from Voice and Video Signals. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 169–174. 5 indexed citations

10.

Lucero, Claudia, et al.. (2022). Hypertensive Nephropathy: Unveiling the Possible Involvement of Hemichannels and Pannexons. International Journal of Molecular Sciences. 23(24). 15936–15936. 14 indexed citations

11.

Freire-Obregón, David, Paola Barra, Modesto Castrillón-Santana, & Maria De Marsico. (2021). Inflated 3D ConvNet context analysis for violence detection. Machine Vision and Applications. 33(1). 26 indexed citations

12.

Barra, Paola, et al.. (2021). Gradient boosting regression for faster Partitioned Iterated Function Systems‐based head pose estimation. IET Biometrics. 11(4). 279–288. 4 indexed citations

13.

Abate, Andrea F., Paola Barra, Chiara Pero, & Maurizio Tucci. (2021). Partitioned iterated function systems by regression models for head pose estimation. Machine Vision and Applications. 32(5). 4 indexed citations

14.

Abate, Andrea F., Paola Barra, Carmen Bisogni, Lucia Cascone, & Ignazio Passero. (2020). Contextual Trust Model With a Humanoid Robot Defense for Attacks to Smart Eco-Systems. IEEE Access. 8. 207404–207414. 11 indexed citations

15.

Barra, Paola, Silvio Barra, Carmen Bisogni, Maria De Marsico, & Michele Nappi. (2020). Web-Shaped Model for Head Pose Estimation: An Approach for Best Exemplar Selection. IEEE Transactions on Image Processing. 29. 5457–5468. 45 indexed citations

16.

Barra, Paola, Silvio Barra, Michele Nappi, & Fabio Narducci. (2020). SAFFO: A SIFT based approach for digital anastylosis for fresco recOnstruction. Pattern Recognition Letters. 138. 123–129. 5 indexed citations

17.

Abate, Andrea F., Paola Barra, Chiara Pero, & Maurizio Tucci. (2020). Head pose estimation by regression algorithm. Pattern Recognition Letters. 140. 179–185. 19 indexed citations

18.

Freire-Obregón, David, Modesto Castrillón-Santana, Paola Barra, Carmen Bisogni, & Michele Nappi. (2020). An attention recurrent model for human cooperation detection. Computer Vision and Image Understanding. 197-198. 102991–102991. 18 indexed citations

19.

Abate, Andrea F., Paola Barra, Carmen Bisogni, Michele Nappi, & Stefano Ricciardi. (2019). Near Real-Time Three Axis Head Pose Estimation Without Training. IEEE Access. 7. 64256–64265. 29 indexed citations

20.

Barra, Paola, Carmen Bisogni, Michele Nappi, David Freire-Obregón, & Modesto Castrillón-Santana. (2019). Gender classification on 2D human skeleton. Acceda (Universidad de Las Palmas de Gran Canaria). 1–4. 24 indexed citations

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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