Cigdem Beyan

1.5k total citations
51 papers, 1000 citations indexed

About

Cigdem Beyan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Water Science and Technology. According to data from OpenAlex, Cigdem Beyan has authored 51 papers receiving a total of 1000 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Vision and Pattern Recognition, 15 papers in Artificial Intelligence and 9 papers in Water Science and Technology. Recurrent topics in Cigdem Beyan's work include Human Pose and Action Recognition (11 papers), Anomaly Detection Techniques and Applications (9 papers) and Water Quality Monitoring Technologies (9 papers). Cigdem Beyan is often cited by papers focused on Human Pose and Action Recognition (11 papers), Anomaly Detection Techniques and Applications (9 papers) and Water Quality Monitoring Technologies (9 papers). Cigdem Beyan collaborates with scholars based in Italy, United Kingdom and Canada. Cigdem Beyan's co-authors include Robert B. Fisher, Vittorio Murino, Bob Fisher, Francesca Capozzi, Cristina Becchio, Howard I. Browman, Alptekin Temizel, Simone Palazzo, Concetto Spampinato and Jiyin He and has published in prestigious journals such as IEEE Access, ACM Computing Surveys and Pattern Recognition.

In The Last Decade

Cigdem Beyan

48 papers receiving 967 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cigdem Beyan Italy 19 389 292 149 146 112 51 1000
M. Ashraful Amin Bangladesh 19 545 1.4× 223 0.8× 37 0.2× 19 0.1× 33 0.3× 108 1.1k
Frédéric Maire Australia 17 331 0.9× 349 1.2× 30 0.2× 47 0.3× 155 1.4× 83 1.2k
Hong Zhou China 19 882 2.3× 296 1.0× 27 0.2× 124 0.8× 66 0.6× 88 2.0k
Sergio Benini Italy 18 525 1.3× 173 0.6× 73 0.5× 34 0.2× 65 0.6× 61 1.2k
Alexandra Branzan Albu Canada 15 456 1.2× 87 0.3× 50 0.3× 16 0.1× 23 0.2× 84 744
Glorianna Davenport United States 19 568 1.5× 130 0.4× 54 0.4× 25 0.2× 35 0.3× 67 1.1k
Gyanendra K. Verma India 14 482 1.2× 399 1.4× 11 0.1× 73 0.5× 326 2.9× 37 1.6k
Kandarpa Kumar Sarma India 18 255 0.7× 365 1.3× 27 0.2× 8 0.1× 101 0.9× 269 1.5k
Susan Craw United Kingdom 21 534 1.4× 544 1.9× 13 0.1× 97 0.7× 173 1.5× 69 1.9k
Mauricio A. Álvarez Colombia 15 136 0.3× 471 1.6× 11 0.1× 26 0.2× 130 1.2× 80 1.3k

Countries citing papers authored by Cigdem Beyan

Since Specialization
Citations

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

Fields of papers citing papers by Cigdem Beyan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cigdem Beyan

This figure shows the co-authorship network connecting the top 25 collaborators of Cigdem Beyan. A scholar is included among the top collaborators of Cigdem Beyan 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 Cigdem Beyan. Cigdem Beyan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Beyan, Cigdem, et al.. (2025). VAD-CLVA: Integrating CLIP with LLaVA for Voice Activity Detection. Information. 16(3). 233–233.
2.
Beyan, Cigdem, et al.. (2024). Automatic Recognition of Commensal Activities in Co-located and Online settings. CINECA IRIS Institutial Research Information System (University of Genoa). 117–121. 2 indexed citations
3.
4.
Beyan, Cigdem, et al.. (2023). SKELTER: unsupervised skeleton action denoising and recognition using transformers. Frontiers in Computer Science. 5. 1 indexed citations
5.
Beyan, Cigdem, et al.. (2023). Exploring Diffusion Models for Unsupervised Video Anomaly Detection. Institutional Research Information System (Università degli Studi di Trento). 2540–2544. 23 indexed citations
6.
Niewiadomski, Radosław, Cigdem Beyan, & Alessandra Sciutti. (2022). Affect Recognition in Hand-Object Interaction Using Object-Sensed Tactile and Kinematic Data. IEEE Transactions on Haptics. 16(1). 112–117. 5 indexed citations
7.
Fini, Enrico, et al.. (2022). Multimodal Emotion Recognition with Modality-Pairwise Unsupervised Contrastive Loss. 2022 26th International Conference on Pattern Recognition (ICPR). 2589–2596. 17 indexed citations
8.
Beyan, Cigdem, et al.. (2021). Modeling Multiple Temporal Scales of Full-Body Movements for Emotion Classification. IEEE Transactions on Affective Computing. 14(2). 1070–1081. 19 indexed citations
9.
Capozzi, Francesca, Cigdem Beyan, Antonio Pierro, et al.. (2019). Tracking the Leader: Gaze Behavior in Group Interactions. iScience. 16. 242–249. 38 indexed citations
10.
Beyan, Cigdem, et al.. (2019). Personality Traits Classification Using Deep Visual Activity-Based Nonverbal Features of Key-Dynamic Images. IEEE Transactions on Affective Computing. 12(4). 1084–1099. 19 indexed citations
11.
Beyan, Cigdem, et al.. (2018). Investigation of Small Group Social Interactions Using Deep Visual Activity-Based Nonverbal Features. Aisberg (University of Bergamo). 311–319. 14 indexed citations
12.
Beyan, Cigdem, et al.. (2018). A Multi-View Learning Approach to Deception Detection. Aisberg (University of Bergamo). 599–606. 14 indexed citations
13.
Beyan, Cigdem, Francesca Capozzi, Cristina Becchio, & Vittorio Murino. (2017). Prediction of the Leadership Style of an Emergent Leader Using Audio and Visual Nonverbal Features. IEEE Transactions on Multimedia. 20(2). 441–456. 45 indexed citations
14.
Beyan, Cigdem, Francesca Capozzi, Cristina Becchio, & Vittorio Murino. (2016). Identification of emergent leaders in a meeting scenario using multiple kernel learning. Aisberg (University of Bergamo). 3–10. 14 indexed citations
15.
Beyan, Cigdem, et al.. (2015). Natural swimming speed of Dascyllus reticulatus increases with water temperature. ICES Journal of Marine Science. 72(8). 2506–2511. 13 indexed citations
16.
Beyan, Cigdem & Robert B. Fisher. (2013). A Filtering Mechanism for Normal Fish Trajectories. Edinburgh Research Explorer (University of Edinburgh). 11 indexed citations
17.
Beyan, Cigdem & Robert B. Fisher. (2013). Detecting abnormal fish trajectories using clustered and labeled data. Aisberg (University of Bergamo). 1476–1480. 27 indexed citations
18.
Palazzo, Simone, Concetto Spampinato, & Cigdem Beyan. (2012). Event detection in underwater domain by exploiting fish trajectory clustering. Aisberg (University of Bergamo). 31–36. 8 indexed citations
19.
Beyan, Cigdem & Alptekin Temizel. (2012). Adaptive mean-shift for automated multi object tracking. IET Computer Vision. 6(1). 1–12. 37 indexed citations
20.
Beyan, Cigdem. (2011). Fusion of thermal- and visible-band video for abandoned object detection. Journal of Electronic Imaging. 20(3). 33001–33001. 8 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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